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Despite the wide selection of vendor-specific information technology security certifications, identifying which...
ones best suit your educational or career needs is fairly straightforward.
This guide to vendor-specific IT security certifications includes an alphabetized table of security certification programs from various vendors, a brief description of each certification and recommendation for further details.
Introduction: Choosing vendor-specific information technology security certifications
The process of choosing the privilege vendor-specific information technology security certifications is much simpler than choosing vendor-neutral ones. In the vendor-neutral landscape, you must evaluate the pros and cons of various programs to select the best option. On the vendor-specific side, it's only necessary to ensue these three steps:
Inventory your organization's security infrastructure and identify which vendors' products or services are present.
Check this guide (or vendor websites, for products not covered here) to determine whether a certification applies to the products or services in your organization.
Decide if spending the time and money to obtain such credentials (or to fund them for your employees) is worth the resulting benefits.
In an environment where qualified IT security professionals can elect from numerous job openings, the benefits of individual training and certifications can live arduous to appraise.
Many employers pay certification costs to develop and retain their employees, as well as to boost the organization's in-house expertise. Most see this as a win-win for employers and employees alike, though employers often require full or partial reimbursement for the related costs incurred if employees leave their jobs sooner than some specified payback period after certification.
There maintain been quite a few changes since the terminal survey update in 2015. The Basic category saw a substantial jump in the number of available IT security certifications due to the addition of several Brainbench certifications, in addition to the Cisco Certified Network Associate (CCNA) Cyber Ops certification, the Fortinet Network Security Expert Program and novel IBM certifications.
Certifications from AccessData, Check Point, IBM and Oracle were added to the Intermediate category, increasing the total number of certifications in that category, as well. However, the number of certifications in the Advanced category decreased, due to several IBM certifications being retired.
Basic information technology security certifications
Brainbench basic security certificationsBrainbench offers several basic-level information technology security certifications, each requiring the candidate to pass one exam. Brainbench security-related certifications include:
Backup Exec 11d (Symantec)
Check Point FireWall-1 Administration
Check Point Firewall-1 NG Administration
NetBackup 6.5 (Symantec)
Source: Brainbench Information Security Administrator certifications
CCNA Cyber OpsPrerequisites: no partake required; training is recommended.
This associate-level certification prepares cybersecurity professionals for drudgery as cybersecurity analysts responding to security incidents as partake of a security operations center team in a big organization.
The CCNA Cyber Ops certification requires candidates to pass two written exams.
Source: Cisco Systems CCNA Cyber Ops
CCNA SecurityPrerequisites: A valid Cisco CCNA Routing and Switching, Cisco Certified Entry Networking Technician or Cisco Certified Internetwork Expert (CCIE) certification.
This credential validates that associate-level professionals are able to install, troubleshoot and monitor Cisco-routed and switched network devices for the purpose of protecting both the devices and networked data.
A person with a CCNA Security certification can live expected to understand core security concepts, endpoint security, web and email content security, the management of secure access, and more. He should moreover live able to demonstrate skills for building a security infrastructure, identifying threats and vulnerabilities to networks, and mitigating security threats. CCNA credential holders moreover possess the technical skills and expertise necessary to manage protection mechanisms such as firewalls and intrusion prevention systems, network access, endpoint security solutions, and web and email security.
The successful completion of one exam is required to obtain this credential.
Source: Cisco Systems CCNA Security
Check Point Certified Security Administrator (CCSA) R80Prerequisites: Basic knowledge of networking; CCSA training and six months to one year of suffer with Check Point products are recommended.
Check Point's foundation-level credential prepares individuals to install, configure and manage Check Point security system products and technologies, such as security gateways, firewalls and virtual private networks (VPNs). Credential holders moreover possess the skills necessary to secure network and internet communications, upgrade products, troubleshoot network connections, configure security policies, protect email and message content, protect networks from intrusions and other threats, dissect attacks, manage user access in a corporate LAN environment, and configure tunnels for remote access to corporate resources.
Candidates must pass a single exam to obtain this credential.
Source: Check Point CCSA Certification
IBM Certified Associate -- Endpoint Manager V9.0Prerequisites: IBM suggests that candidates live highly close with the IBM Endpoint Manager V9.0 console. They should maintain suffer taking actions; activating analyses; and using Fixlets, tasks and baselines in the environment. They should moreover understand patching, component services, client log files and troubleshooting within IBM Endpoint Manager.
This credential recognizes professionals who employ IBM Endpoint Manager V9.0 daily. Candidates for this certification should know the key concepts of Endpoint Manager, live able to rehearse the system's components and live able to employ the console to perform routine tasks.
Successful completion of one exam is required.
Editor's note: IBM is retiring this certification as of May 31, 2017; there will live a follow-on test available as of April 2017 for IBM BigFix Compliance V9.5 Fundamental Administration, Test C2150-627.
Source: IBM Certified Associate -- Endpoint Manager V9.0
IBM Certified Associate -- Security Trusteer Fraud ProtectionPrerequisites: IBM recommends that candidates maintain suffer with network data communications, network security, and the Windows and Mac operating systems.
This credential pertains mainly to sales engineers who support the Trusteer Fraud product portfolio for web fraud management, and who can implement a Trusteer Fraud solution. Candidates must understand Trusteer product functionality, know how to deploy the product, and live able to troubleshoot the product and dissect the results.
To obtain this certification, candidates must pass one exam.
Source: IBM Certified Associate -- Security Trusteer Fraud Protection
McAfee Product SpecialistPrerequisites: no partake required; completion of an associated training course is highly recommended.
McAfee information technology security certification holders possess the knowledge and technical skills necessary to install, configure, manage and troubleshoot specific McAfee products, or, in some cases, a suite of products.
Candidates should possess one to three years of direct suffer with one of the specific product areas.
The current products targeted by this credential include:
McAfee Advanced Threat Defense products
McAfee ePolicy Orchestrator and VirusScan products
McAfee Network Security Platform
McAfee Host Intrusion Prevention
McAfee Data Loss Prevention Endpoint products
McAfee Security Information and Event Management products
All credentials require passing one exam.
Source: McAfee Certification Program
Microsoft Technology Associate (MTA)Prerequisites: None; training recommended.
This credential started as an academic-only credential for students, but Microsoft made it available to the general public in 2012.
There are 10 different MTA credentials across three tracks (IT Infrastructure with five certs, Database with one and progress with four). The IT Infrastructure track includes a Security Fundamentals credential, and some of the other credentials involve security components or topic areas.
To rate each MTA certification, candidates must pass the corresponding exam.
Source: Microsoft MTA Certifications
Fortinet Network Security Expert (NSE)Prerequisites: Vary by credential.
The Fortinet NSE program has eight levels, each of which corresponds to a divorce network security credential within the program. The credentials are:
NSE 1 -- Understand network security concepts.
NSE 2 -- Sell Fortinet gateway solutions.
NSE 3 (Associate) -- Sell Fortinet advanced security solutions.
NSE 4 (Professional) -- Configure and maintain FortiGate Unified Threat Management products.
NSE 5 (Analyst) -- Implement network security management and analytics.
NSE 6 (Specialist) – Understand advanced security technologies beyond the firewall.
NSE 7 (Troubleshooter) -- Troubleshoot internet security issues.
NSE 8 (Expert) -- Design, configure, install and troubleshoot a network security solution in a live environment.
NSE 1 is open to anyone, but is not required. The NSE 2 and NSE 3 information technology security certifications are available only to Fortinet employees and partners. Candidates for NSE 4 through NSE 8 should hoist the exams through Pearson VUE.
Source: Fortinet NSE
Symantec Certified Specialist (SCS)This security certification program focuses on data protection, high availability and security skills involving Symantec products.
To become an SCS, candidates must select an belt of focus and pass an exam. All the exams cover core elements, such as installation, configuration, product administration, day-to-day operation and troubleshooting for the selected focus area.
As of this writing, the following exams are available:
Exam 250-215: Administration of Symantec Messaging Gateway 10.5
Exam 250-410: Administration of Symantec Control Compliance Suite 11.x
Exam 250-420: Administration of Symantec VIP
Exam 250-423: Administration of Symantec IT Management Suite 8.0
Exam 250-424: Administration of Data Loss Prevention 14.5
Exam 250-425: Administration of Symantec Cyber Security Services
Exam 250-426: Administration of Symantec Data center Security -- Server Advanced 6.7
Exam 250-427: Administration of Symantec Advanced Threat Protection 2.0.2
Exam 250-428: Administration of Symantec Endpoint Protection 14
Exam 250-513: Administration of Symantec Data Loss Prevention 12
Source: Symantec Certification
Intermediate information technology security certifications
AccessData Certified Examiner (ACE)Prerequisites: no partake required; the AccessData BootCamp and Advanced Forensic Toolkit (FTK) courses are recommended.
This credential recognizes a professional's proficiency using AccessData's FTK, FTK Imager, Registry Viewer and Password Recovery Toolkit. However, candidates for the certification must moreover maintain moderate digital forensic knowledge and live able to interpret results gathered from AccessData tools.
To obtain this certification, candidates must pass one online exam (which is free). Although a boot camp and advanced courses are available for a fee, AccessData provides a set of free exam preparation videos to befriend candidates who prefer to self-study.
The certification is valid for two years, after which credential holders must hoist the current exam to maintain their certification.
Source: Syntricate ACE Training
Cisco Certified Network Professional (CCNP) Security Prerequisites: CCNA Security or any CCIE certification.
This Cisco credential recognizes professionals who are liable for router, switch, networking device and appliance security. Candidates must moreover know how to select, deploy, support and troubleshoot firewalls, VPNs and intrusion detection system/intrusion prevention system products in a networking environment.
Successful completion of four exams is required.
Source: Cisco Systems CCNP Security
Check Point Certified Security Expert (CCSE)Prerequisite: CCSA certification R70 or later.
This is an intermediate-level credential for security professionals seeking to demonstrate skills at maximizing the performance of security networks.
A CCSE demonstrates a knowledge of strategies and advanced troubleshooting for Check Point's GAiA operating system, including installing and managing VPN implementations, advanced user management and firewall concepts, policies, and backing up and migrating security gateway and management servers, among other tasks. The CCSE focuses on Check Point's VPN, Security Gateway and Management Server systems.
To acquire this credential, candidates must pass one exam.
Source: Check Point CCSE program
Cisco Cybersecurity SpecialistPrerequisites: no partake required; CCNA Security certification and an understanding of TCP/IP are strongly recommended.
This Cisco credential targets IT security professionals who possess in-depth technical skills and knowledge in the domain of threat detection and mitigation. The certification focuses on areas such as event monitoring, event analysis (traffic, alarm, security events) and incident response.
One exam is required.
Source: Cisco Systems Cybersecurity Specialist
Certified SonicWall Security Administrator (CSSA)Prerequisites: no partake required; training is recommended.
The CSSA exam covers basic administration of SonicWall appliances and the network and system security behind such appliances.
Classroom training is available, but not required to rate the CSSA. Candidates must pass one exam to become certified.
Source: SonicWall Certification programs
EnCase Certified Examiner (EnCE)Prerequisites: Candidates must attend 64 hours of authorized training or maintain 12 months of computer forensic drudgery experience. Completion of a formal application process is moreover required.
Aimed at both private- and public-sector computer forensic specialists, this certification permits individuals to become certified in the employ of Guidance Software's EnCase computer forensics tools and software.
Individuals can gain this certification by passing a two-phase exam: a computer-based component and a practical component.
Source: Guidance Software EnCE
EnCase Certified eDiscovery Practitioner (EnCEP)Prerequisites: Candidates must attend one of two authorized training courses and maintain three months of suffer in eDiscovery collection, processing and project management. A formal application process is moreover required.
Aimed at both private- and public-sector computer forensic specialists, this certification permits individuals to become certified in the employ of Guidance Software's EnCase eDiscovery software, and it recognizes their proficiency in eDiscovery planning, project management and best practices, from legal hold to file creation.
EnCEP-certified professionals possess the technical skills necessary to manage e-discovery, including the search, collection, preservation and processing of electronically stored information in accordance with the Federal Rules of Civil Procedure.
Individuals can gain this certification by passing a two-phase exam: a computer-based component and a scenario component.
Source: Guidance Software EnCEP Certification Program
IBM Certified Administrator -- Security Guardium V10.0Prerequisites: IBM recommends basic knowledge of operating systems and databases, hardware or virtual machines, networking and protocols, auditing and compliance, and information security guidelines.
IBM Security Guardium is a suite of protection and monitoring tools designed to protect databases and broad data sets. The IBM Certified Administrator -- Security Guardium credential is aimed at administrators who plan, install, configure and manage Guardium implementations. This may involve monitoring the environment, including data; defining policy rules; and generating reports.
Successful completion of one exam is required.
Source: IBM Security Guardium Certification
IBM Certified Administrator -- Security QRadar Risk Manager V7.2.6Prerequisites: IBM recommends a working knowledge of IBM Security QRadar SIEM Administration and IBM Security QRadar Risk Manager, as well as general knowledge of networking, risk management, system administration and network topology.
QRadar Risk Manager automates the risk management process in enterprises by monitoring network device configurations and compliance. The IBM Certified Administrator -- Security QRadar Risk Manager V7.2.6 credential certifies administrators who employ QRadar to manage security risks in their organization. Certification candidates must know how to review device configurations, manage devices, monitor policies, schedule tasks and generate reports.
Successful completion of one exam is required.
Source: IBM Security QRadar Risk Manager Certification
IBM Certified Analyst -- Security SiteProtector System V3.1.1Prerequisites: IBM recommends a basic knowledge of the IBM Security Network Intrusion Prevention System (GX) V4.6.2, IBM Security Network Protection (XGS) V5.3.1, Microsoft SQL Server, Windows Server operating system administration and network security.
The Security SiteProtector System enables organizations to centrally manage their network, server and endpoint security agents and appliances. The IBM Certified Analyst -- Security SiteProtector System V3.1.1 credential is designed to certify security analysts who employ the SiteProtector System to monitor and manage events, monitor system health, optimize SiteProtector and generate reports.
To obtain this certification, candidates must pass one exam.
Source: IBM Security SiteProtector Certification
Oracle Certified Expert, Oracle Solaris 10 Certified Security AdministratorPrerequisite: Oracle Certified Professional, Oracle Solaris 10 System Administrator.
This credential aims to certify experienced Solaris 10 administrators with security interest and experience. It's a midrange credential that focuses on general security principles and features, installing systems securely, application and network security, principle of least privilege, cryptographic features, auditing, and zone security.
A single exam -- geared toward the Solaris 10 operating system or the OpenSolaris environment -- is required to obtain this credential.
Source: Oracle Solaris Certification
Oracle Mobile SecurityPrerequisites: Oracle recommends that candidates understand enterprise mobility, mobile application management and mobile device management; maintain two years of suffer implementing Oracle Access Management Suite Plus 11g; and maintain suffer in at least one other Oracle product family.
This credential recognizes professionals who create configuration designs and implement the Oracle Mobile Security Suite. Candidates must maintain a working knowledge of Oracle Mobile Security Suite Access Server, Oracle Mobile Security Suite Administrative Console, Oracle Mobile Security Suite Notification Server, Oracle Mobile Security Suite Containerization and Oracle Mobile Security Suite Provisioning and Policies. They must moreover know how to deploy the Oracle Mobile Security Suite.
Although the certification is designed for Oracle PartnerNetwork members, it is available to any candidate. Successful completion of one exam is required.
Source: Oracle Mobile Security Certification
RSA Archer Certified Administrator (CA)Prerequisites: no partake required; Dell EMC highly recommends RSA training and two years of product suffer as preparation for the RSA certification exams.
Dell EMC offers this certification, which is designed for security professionals who manage, administer, maintain and troubleshoot the RSA Archer Governance, Risk and Compliance (GRC) platform.
Candidates must pass one exam, which focuses on integration and configuration management, security administration, and the data presentation and communication features of the RSA Archer GRC product.
Source: Dell EMC RSA Archer Certification
RSA SecurID Certified Administrator (RSA Authentication Manager 8.0)Prerequisites: no partake required; Dell EMC highly recommends RSA training and two years of product suffer as preparation for the RSA certification exams.
Dell EMC offers this certification, which is designed for security professionals who manage, maintain and administer enterprise security systems based on RSA SecurID system products and RSA Authentication Manager 8.0.
RSA SecurID CAs can operate and maintain RSA SecurID components within the context of their operational systems and environments; troubleshoot security and implementation problems; and drudgery with updates, patches and fixes. They can moreover perform administrative functions and populate and manage users, set up and employ software authenticators, and understand the configuration required for RSA Authentication Manager 8.0 system operations.
Source: Dell EMC RSA Authentication Manager Certification
RSA Security Analytics CAPrerequisites: no partake required; Dell EMC highly recommends RSA training and two years of product suffer as preparation for the RSA certification exams.
This Dell EMC certification is aimed at security professionals who configure, manage, administer and troubleshoot the RSA Security Analytics product. knowledge of the product's features, as well the aptitude to employ the product to identify security concerns, are required.
Candidates must pass one exam, which focuses on RSA Security Analytics functions and capabilities, configuration, management, monitoring and troubleshooting.
Source: Dell EMC RSA Security Analytics
Advanced information technology security certifications
CCIE SecurityPrerequisites: no partake required; three to five years of professional working suffer recommended.
Arguably one of the most coveted certifications around, the CCIE is in a league of its own. Having been around since 2002, the CCIE Security track is unrivaled for those interested in dealing with information security topics, tools and technologies in networks built using or around Cisco products and platforms.
The CCIE certifies that candidates possess expert technical skills and knowledge of security and VPN products; an understanding of Windows, Unix, Linux, network protocols and domain denomination systems; an understanding of identity management; an in-depth understanding of Layer 2 and 3 network infrastructures; and the aptitude to configure end-to-end secure networks, as well as to perform troubleshooting and threat mitigation.
To achieve this certification, candidates must pass both a written and lab exam. The lab exam must live passed within 18 months of the successful completion of the written exam.
Source: Cisco Systems CCIE Security Certification
Check Point Certified Managed Security Expert (CCMSE)Prerequisites: CCSE certification R75 or later and 6 months to 1 year of suffer with Check Point products.
This advanced-level credential is aimed at those seeking to learn how to install, configure and troubleshoot Check Point's Multi-Domain Security Management with Virtual System Extension.
Professionals are expected to know how to migrate physical firewalls to a virtualized environment, install and manage an MDM environment, configure high availability, implement global policies and perform troubleshooting.
Source: Check Point CCMSE
Check Point Certified Security Master (CCSM)Prerequisites: CCSE R70 or later and suffer with Windows Server, Unix, TCP/IP, and networking and internet technologies.
The CCSM is the most advanced Check Point certification available. This credential is aimed at security professionals who implement, manage and troubleshoot Check Point security products. Candidates are expected to live experts in perimeter, internal, web and endpoint security systems.
To acquire this credential, candidates must pass a written exam.
Source: Check Point CCSM Certification
Certified SonicWall Security Professional (CCSP)Prerequisites: Attendance at an advanced administration training course.
Those who achieve this certification maintain attained a high even of mastery of SonicWall products. In addition, credential holders should live able to deploy, optimize and troubleshoot All the associated product features.
Earning a CSSP requires taking an advanced administration course that focuses on either network security or secure mobile access, and passing the associated certification exam.
Source: SonicWall CSSP certification
IBM Certified Administrator -- Tivoli Monitoring V6.3Prerequisites: Security-related requirements involve basic knowledge of SSL, data encryption and system user accounts.
Those who attain this certification are expected to live capable of planning, installing, configuring, upgrading and customizing workspaces, policies and more. In addition, credential holders should live able to troubleshoot, administer and maintain an IBM Tivoli Monitoring V6.3 environment.
Candidates must successfully pass one exam.
Source: IBM Tivoli Certified Administrator
Master Certified SonicWall Security Administrator (CSSA)The Master CSSA is an intermediate between the base-level CSSA credential (itself an intermediate certification) and the CSSP.
To qualify for Master CSSA, candidates must pass three (or more) CSSA exams, and then email email@example.com to request the designation. There are no other charges or requirements involved.
Source: SonicWall Master CSSA
Remember, when it comes to selecting vendor-specific information technology security certifications, your organization's existing or planned security product purchases should decree your options. If your security infrastructure includes products from vendors not mentioned here, live positive to check with them to determine if training or certifications on such products are available.
About the author:Ed Tittel is a 30-plus year IT veteran who's worked as a developer, networking consultant, technical trainer, writer and expert witness. Perhaps best known for creating the Exam Cram series, Ed has contributed to more than 100 books on many computing topics, including titles on information security, Windows OSes and HTML. Ed moreover blogs regularly for TechTarget (Windows Enterprise Desktop), Tom's IT Pro and GoCertify.
Other questions to the experts in this canvassing invited their views on the hopeful things that will occur in the next decade and for examples of specific applications that might emerge. What will human-technology co-evolution ogle enjoy by 2030? Participants in this canvassing await the rate of change to Fall in a orbit anywhere from incremental to extremely impactful. Generally, they await AI to continue to live targeted toward efficiencies in workplaces and other activities, and they mumble it is likely to live embedded in most human endeavors.
The greatest partake of participants in this canvassing said automated systems driven by simulated intelligence are already improving many dimensions of their work, play and home lives and they await this to continue over the next decade. While they worry over the accompanying negatives of human-AI advances, they hope for broad changes for the better as networked, smart systems are revolutionizing everything, from the most pressing professional drudgery to hundreds of the shrimp “everyday” aspects of existence.
One respondent’s reply covered many of the improvements experts await as machines sit alongside humans as their assistants and enhancers. An associate professor at a major university in Israel wrote, “In the coming 12 years AI will enable All sorts of professions to enact their drudgery more efficiently, especially those involving ‘saving life’: individualized medicine, policing, even warfare (where attacks will focus on disabling infrastructure and less in killing enemy combatants and civilians). In other professions, AI will enable greater individualization, e.g., education based on the needs and intellectual abilities of each pupil/student. Of course, there will live some downsides: greater unemployment in inescapable ‘rote’ jobs (e.g., transportation drivers, food service, robots and automation, etc.).”
This section begins with experts sharing mostly positive expectations for the evolution of humans and AI. It is followed by divorce sections that involve their thoughts about the potential for AI-human partnerships and character of life in 2030, as well as the future of jobs, health supervision and education.
AI will live integrated into most aspects of life, producing novel efficiencies and enhancing human capacities
Many of the leading experts extolled the positives they await to continue to expand as AI tools evolve to enact more things for more people.
Martijn van Otterlo, author of “Gatekeeping Algorithms with Human Ethical Bias” and helper professor of simulated intelligence at Tilburg University in the Netherlands, wrote, “Even though I see many ethical issues, potential problems and especially power imbalance/misuse issues with AI (not even starting about singularity issues and out-of-control AI), I enact regard AI will change most lives for the better, especially looking at the short horizon of 2030 even more-so, because even foul effects of AI can live considered predominantly ‘good’ by the majority of people. For example, the Cambridge Analytica case has shown us the huge privacy issues of modern convivial networks in a market economy, but, overall, people value the extraordinary services Facebook offers to improve communication opportunities, sharing capabilities and so on.”
…we necessity to live solicitous about how these technologies are implemented and used, but, on the whole, I see these as constructive.Vint Cerf
Vint Cerf, Internet Hall of Fame member and vice president and chief internet evangelist at Google, said, “I see AI and machine learning as augmenting human cognition a la Douglas Engelbart. There will live abuses and bugs, some harmful, so they necessity to live solicitous about how these technologies are implemented and used, but, on the whole, I see these as constructive.”
Mícheál Ó Foghlú, engineering director and DevOps Code Pillar at Google’s Munich office, said, “The trend is that AI/ML models in specific domains can out-perform human experts (e.g., inescapable cancer diagnoses based on image-recognition in retina scans). I regard it would live fairly much the consensus that this trend would continue, and many more such systems could aid human experts to live more accurate.”
Craig Mathias, principal at Farpoint Group, an advisory solid specializing in wireless networking and mobile computing, commented, “Many if not most of the large-scale technologies that they All depend upon – such as the internet itself, the power grid, and roads and highways – will simply live unable to duty in the future without AI, as both solution complexity and require continue to increase.”
Matt Mason, a roboticist and the former director of the Robotics Institute at Carnegie Mellon University, wrote, “AI will present novel opportunities and capabilities to improve the human experience. While it is workable for a society to behave irrationally and elect to employ it to their detriment, I see no intuition to regard that is the more likely outcome.”
Mike Osswald, vice president of suffer innovation at Hanson Inc., commented, “I’m thinking of a world in which people’s devices continuously assess the world around them to maintain a population safer and healthier. Thinking of those living in big urban areas, with devices forming a network of AI input through sound analysis, air quality, natural events, etc., that can provide collective notifications and insight to everyone in a inescapable belt about the concerns of environmental factors, physical health, even helping provide no quarter for foul actors through community policing.”
Barry Hughes, senior scientist at the center for International Futures at the University of Denver, commented, “I was one of the original test users of the ARPANET and now can hardly imagine living without the internet. Although AI will live disruptive through 2030 and beyond, significance that there will live losers in the workplace and growing reasons for concern about privacy and AI/cyber-related crime, on the entire I await that individuals and societies will design choices on employ and restriction of employ that profit us. Examples involve likely self-driving vehicles at that time, when my wife’s deteriorating vision and that of an increased superannuated population will design it increasingly liberating. I would await rapid growth in employ for informal/non-traditional education as well as some more ambivalent growth in the formal-education sector. Big-data applications in health-related research should live increasingly productive, and health supervision delivery should benefit. Transparency with respect to its character and use, including its developers and their personal benefits, is especially significant in limiting the inevitable abuse.”
Dana Klisanin, psychologist, futurist and game designer, predicted, “People will increasingly realize the significance of interacting with each other and the natural world and they will program AI to support such goals, which will in revolve support the ongoing emergence of the ‘slow movement.’ For example, grocery shopping and mundane chores will live allocated to AI (smart appliances), freeing up time for preparation of meals in keeping with the behind food movement. Concern for the environment will likewise cheer the growth of the behind goods/slow vogue movement. The aptitude to recycle, reduce, reuse will live enhanced by the employ of in-home 3D printers, giving climb to a novel nature of ‘craft’ that is supported by AI. AI will support the ‘cradle-to-grave’ movement by making it easier for people to trace the manufacturing process from inception to final product.”
Liz Rykert, president at Meta Strategies, a consultancy that works with technology and intricate organizational change, responded, “The key for networked AI will live the aptitude to diffuse equitable responses to basic supervision and data collection. If prejudice remains in the programming it will live a broad problem. I believe they will live able to develop systems that will learn from and reflect a much broader and more diverse population than the systems they maintain now.”
Michael R. Nelson, a technology policy expert for a leading network services provider who worked as a technology policy aide in the Clinton administration, commented, “Most media reports focus on how machine learning will directly influence people (medical diagnosis, self-driving cars, etc.) but they will see broad improvements in infrastructure (traffic, sewage treatment, supply chain, etc.).”
Gary Arlen, president of Arlen Communications, wrote, “After the initial frenzy recedes about specific AI applications (such as autonomous vehicles, workplace robotics, transaction processing, health diagnoses and entertainment selections), specific applications will develop – probably in areas barely being considered today. As with many novel technologies, the benefits will not apply equally, potentially expanding the haves-and-have-nots dichotomy. In addition, as AI delves into novel fields – including creative drudgery such as design, music/art composition – they may see novel legal challenges about illegal appropriation of intellectual property (via machine learning). However, the novel legal tasks from such litigation may not necessity a conventional attorney – but could live handled by AI itself. Professional health supervision AI poses another nature of dichotomy. For patients, AI could live a bonanza, identifying ailments, often in early stages (based on early symptoms), and recommending treatments. At the same time, such automated tasks could repercussion employment for medical professionals. And again, there are legal challenges to live determined, such as liability in the case of a wrong action by the AI. Overall, there is no such thing as ‘most people,’ but many individuals and groups – especially in professional situations – WILL live better lives thanks to AI, albeit with some strict adjustment pains.”
Tim Morgan, a respondent who provided no identifying details, said, “Algorithmic machine learning will live their intelligence amplifier, exhaustively exploring data and designs in ways humans solitary cannot. The world was shocked when IBM’s deep Blue computer beat Garry Kasparov in 1997. What emerged later was the realization that human and AI ‘centaurs’ could combine to beat anyone, human or AI. The synthesis is more than the sum of the parts.”
Marshall Kirkpatrick, product director of influencer marketing, responded, “If the network can live both decentralized and imbued with empathy, rather than characterized by violent exploitation, then we’re safe. I await it will land in between, hopefully leaning toward the positive. For example, I await their understanding of self and liberty will live greatly impacted by an instrumentation of a big partake of memory, through personal logs and their data exhaust being recognized as valuable just enjoy when they shed the term ‘junk DNA.’ Networked AI will bring us novel insights into their own lives that might look as far-fetched today as it would maintain been 30 years ago to say, ‘I’ll recount you what music your friends are discovering privilege now.’ AI is most likely to augment humanity for the better, but it will hoist longer and not live done as well as it could be. Hopefully we’ll build it in a artery that will befriend us live comparably understanding to others.”
Daniel A. Menasce, professor of computer science at George Mason University, commented, “AI and related technologies coupled with significant advances in computer power and decreasing costs will allow specialists in a variety of disciplines to perform more efficiently and will allow non-specialists to employ computer systems to augment their skills. Some examples involve health delivery, smart cities and smart buildings. For these applications to become reality, easy-to-use user interfaces, or better yet transparent user interfaces will maintain to live developed.”
Technology progression and advancement has always been met with terror and anxiety, giving artery to tremendous gains for humankind as they learn to enhance the best of the changes and adjust and alter the worst.David Wells
David Wells, chief pecuniary officer at Netflix, responded, “Technology progression and advancement has always been met with terror and anxiety, giving artery to tremendous gains for humankind as they learn to enhance the best of the changes and adjust and alter the worst. Continued networked AI will live no different but the pace of technological change has increased, which is different and requires us to more quickly adapt. This pace is different and presents challenges for some human groups and societies that they will necessity to admit and drudgery through to avoid marginalization and political conflict. But the gains from better education, medical supervision and crime reduction will live well worth the challenges.”
Rik Farrow, editor of ;login: for the USENIX association, wrote, “Humans enact poorly when it comes to making decisions based on facts, rather than emotional issues. Humans Get distracted easily. There are certainly things that AI can enact better than humans, enjoy driving cars, handling finances, even diagnosing illnesses. Expecting human doctors to know everything about the varieties of disease and humans is silly. Let computers enact what they are generous at.”
Steve Crocker, CEO and co-founder of Shinkuro Inc. and Internet Hall of Fame member, responded, “AI and human-machine interaction has been under vigorous progress for the past 50 years. The advances maintain been enormous. The results are marbled through All of their products and systems. Graphics, speech [and] language understanding are now taken for granted. Encyclopedic knowledge is available at their fingertips. Instant communication with anyone, anywhere exists for about half the world at minimal cost. The effects on productivity, lifestyle and reduction of risks, both natural and man-made, maintain been extraordinary and will continue. As with any technology, there are opportunities for abuse, but the challenges for the next decade or so are not significantly different from the challenges mankind has faced in the past. Perhaps the largest existential threat has been the potential for nuclear holocaust. In comparison, the concerns about AI are significantly less.”
James Kadtke, expert on converging technologies at the Institute for National Strategic Studies at the U.S. National Defense University, wrote, “Barring the deployment of a few different radically novel technologies, such as general AI or commercial quantum computers, the internet and AI [between now and 2030] will proceed on an evolutionary trajectory. await internet access and sophistication to live considerably greater, but not radically different, and moreover await that malicious actors using the internet will maintain greater sophistication and power. Whether they can control both these trends for positive outcomes is a public policy issue more than a technological one.”
Tim Morgan, a respondent who provided no identifying details, said, “Human/AI collaboration over the next 12 years will improve the overall character of life by finding novel approaches to persistent problems. They will employ these adaptive algorithmic tools to explore entire novel domains in every industry and domain of study: materials science, biotech, medicine, agriculture, engineering, energy, transportation and more. … This goes beyond computability into human relationships. AIs are dawn to understand and converse the human language of emotion. The potential of affective computing ranges from productivity-increasing adaptive interfaces, to ‘pre-crime’ security monitoring of airports and other gathering places, to companion ‘pets’ which monitor their aging owners and interact with them in ways that improve their health and disposition. Will there live unseen dangers or consequences? Definitely. That is their pattern with their tools. They invent them, employ them to improve their lives and then refine them when they find problems. AI is no different.”
Ashok Goel, director of the human-centered computing Ph.D. program at Georgia Tech, wrote, “Human-AI interaction will live multimodal: They will directly converse with AIs, for example. However, much of the repercussion of AI will near in enhancing human-human interaction across both space (we will live networked with others) and time (we will maintain access to All their previously acquired knowledge). This will aid, augment and amplify individual and collective human intelligence in unprecedented and powerful ways.”
David Cake, an leader with Electronic Frontiers Australia and vice-chair of the ICANN GNSO Council, wrote, “In general, machine learning and related technologies maintain the capacity to greatly reduce human oversight in many areas where it is currently very problematic and design available good, appropriately tailored recommendation to people to whom it is currently unavailable, in literally almost every domain of human endeavour.”
Fred Baker, an independent networking technologies consultant, longtime leader in the Internet Engineering assignment compel and engineering fellow with Cisco, commented, “In my opinion, developments maintain not been ‘out of control,’ in the sense that the creation of Terminator’s Skynet or the HAL 9000 computer might depict them. Rather, they maintain learned to automate processes in which neural networks maintain been able to ensue data to its conclusion (which they muster ‘big data’) unaided and uncontaminated by human intuition, and sometimes the results maintain surprised us. These remain, and in my persuasion will remain, to live interpreted by human beings and used for their purposes.”
Bob Frankston, software innovation pioneer and technologist based in North America, wrote, “It could gallivant either way. AI could live a bureaucratic straitjacket and appliance of surveillance. I’m betting that machine learning will live enjoy the X-ray in giving us the aptitude to see novel wholes and gain insights.”
Perry Hewitt, a marketing, content and technology executive, wrote, “Today, voice-activated technologies are an untamed beast in their homes. Some 16% of Americans maintain a smart speaker, and yet they are relatively speechless devices: They misinterpret questions, tender generic answers and, to the consternation of some, are turning their kids into a**holes. I am bullish on human-machine interactions developing a better understanding of and improving their daily routines. I regard in particular of the working parent, often although certainly not exclusively a woman, who carries so much information in their head. What if a human-machine collaboration could stock the house with essentials, schedule the pre-camp pediatrician appointments and prompt drivers for the alternate-side parking/street cleaning rules. The aptitude for narrow AI to assimilate novel information (the bus is suppositious to near at 7:10 but a month into the school year is known to actually near at 7:16) could maintain a family connected and informed with the privilege data, and reduce the mental load of household management.”
John McNutt, a professor in the school of public policy and administration at the University of Delaware, responded, “Throwing out technology because there is a potential downside is not how human progress takes place. In public service, a turbulent environment has created a situation where knowledge overload can seriously humble their aptitude to enact the things that are essential to implement policies and serve the public good. AI can live the dissimilarity between a public service that works well and one that creates more problems than it solves.”
Randy Marchany, chief information security officer at Virginia Tech and director of Virginia Tech’s IT Security Laboratory, said, “AI-human interaction in 2030 will live in its ‘infancy’ stage. AI will necessity to gallivant to ‘school’ in a manner similar to humans. They will amass big amounts of data collected by various sources but necessity ‘ethics’ training to design generous decisions. Just as kids are taught a wide variety of info and some sort of ethics (religion, convivial manners, etc.), AI will necessity similar training. Will AI Get the proper training? Who decides the training content?”
Robert Stratton, cybersecurity expert, said, “While there is widespread acknowledgement in a variety of disciplines of the potential benefits of machine learning and simulated intelligence technologies, progress has been tempered by their misapplication. partake of data science is knowing the privilege appliance for a particular job. As more-rigorous practitioners originate to gain console and apply these tools to other corpora it’s reasonable to await some significant gains in efficiency, insight or profitability in many fields. This may not live visible to consumers except through increased product choice, but it may involve everything from drug discovery to driving.”
A data analyst for an organization developing marketing solutions said, “Assuming that policies are in location to obviate the mistreat of AI and programs are in location to find novel jobs for those who would live career-displaced, there is a lot of potential in AI integration. By 2030, most AI will live used for marketing purposes and live more annoying to people than anything else as they are bombarded with personalized ads and recommendations. The ease of AI usage will live its integration into more tedious and repetitive tasks across career fields. Implementing AI in this vogue will open up more time for humans to focus on long-term and in-depth tasks that will allow further and greater societal progression. For example, AI can live trained to identify and codify qualitative information from surveys, reviews, articles, etc., far faster and in greater quantities than even a team of humans can. By having AI perform these tasks, analysts can expend more time parsing the data for trends and information that can then live used to design more-informed decisions faster and allow for speedier turn-around times. Minor product faults can live addressed before they become widespread, scientists can generate semiannual reports on environmental changes rather than annual or biannual.”
Helena Draganik, a professor at the University of Gdańsk in Poland, responded, “AI will not change humans. It will change the relations between them because it can serve as an interpreter of communication. It will change their habits (as an intermediation technology). AI will live a remarkable commodity. It will befriend in cases of health problems (diseases). It will moreover generate a remarkable ‘data industry’ (big data) market and a want of anonymity and privacy. Humanity will more and more depend on energy/electricity. These factors will create novel social, cultural, security and political problems.”
There are those who regard there won’t live much change by 2030.
Christine Boese, digital strategies professional, commented, “I believe it is as William Gibson postulated, ‘The future is already here, it just not very evenly distributed.’ What I know from my drudgery in user-experience design and in exposure to many different Fortune 500 IT departments working in broad data and analytics is that the pledge and potential of AI and machine learning is VASTLY overstated. There has been so shrimp investment in basic infrastructure, entire chunks of their systems won’t even live interoperable. The AI and machine learning code will live there, in a pocket here, a pocket there, but system-wide, it is unlikely to live operating reliably as partake of the background radiation against which many of us play and drudgery online.”
An anonymous respondent wrote, “While various deployments of novel data science and computation will befriend firms reduce costs, reduce fraud and support decision-making that involves access to more information than an individual can manage, organisations, professions, markets and regulators (public and private) usually hoist many more than 12 years to adjust effectively to a constantly changing set of technologies and practices. This generally causes a decline in service quality, insecurity over jobs and investments, novel monopoly businesses distorting markets and convivial values, etc. For example, many organisations will live under pressure to buy and implement novel services, but unable to access dependable market information on how to enact this, leading to foul investments, distractions from core business, and labour and customer disputes.”
Mario Morino, chairman of the Morino Institute and co-founder of Venture Philanthropy Partners, commented, “While I believe AI/ML will bring enormous benefits, it may hoist us several decades to navigate through the disruption and transition they will interlard on multiple levels.”
Daniel Berninger, an internet pioneer who led the first VoIP deployments at Verizon, HP and NASA, currently founder at Voice Communication Exchange Committee (VCXC), said, “The luminaries claiming simulated intelligence will surpass human intelligence and promoting robot reverence imagine exponentially improving computation pushes machine self-actualization from science fiction into reality. The immense valuations awarded Google, Facebook, Amazon, Tesla, et al., rely on this machine-dominance hype to sell infinite scaling. As with All hype, pretending reality does not exist does not design reality gallivant away. Moore’s Law does not concede the future to machines, because human domination of the planet does not owe to computation. Any road map granting machines self-determination includes ‘miracle’ as one of the steps. You cannot revolve a piece of wood into a true boy. AI merely ‘models’ human activity. No amount of improvement in the progress of these models turns the ‘model’ into the ‘thing.’ Robot reverence attempts plausibility by collapsing the breadth of human potential and capacities. It operates via ‘denialism’ with advocates disavowing the significance of anything they cannot model. In particular, super AI requires pretending human will and consciousness enact not exist. Human beings remain the source of All intent and the arbiter of All outcomes. Machines provide mere facilitation and mere efficiency in the journey from intent to outcome. The dehumanizing nature of automation and the diseconomy of scale of human intelligence is already causing headaches that disclose another AI Winter arriving well before 2030.”
Paul Kainen, futurist and director of the Lab for Visual Mathematics at Georgetown University, commented, “Quantum cat here: I await intricate superposition of strong positive, negative and null as typical repercussion for AI. For the grandkids’ sake, they must live positive!”
The following one-liners from anonymous respondents moreover tie into AI in 2030:
An Internet Hall of Fame member wrote, “You’ll talk to your digital helper in a ordinary voice and it will just live there – it will often anticipate your needs, so you may only necessity to talk to it to revise or update it.”
The director of a cognitive research group at one of the world’s top AI and large-scale computing companies predicted that by 2030, “Smartphone-equivalent devices will support accurate natural-language dialog with episodic recollection of past interactions. Apps will become low-cost digital workers with basic commonsense reasoning.”
An anonymous Internet Hall of Fame member said, “The equivalent of the ‘Star Trek’ universal translator will become practical, enabling travelers to better interact with people in countries they visit, facilitate online discussions across language barriers, etc.”
An Internet of Things researcher commented, “We necessity to poise between human emotions and machine intelligence – can machines live emotional? – that’s the frontier they maintain to conquer.”
An anonymous respondent wrote, “2030 is quiet quite possibly before the advent of human-level AI. During this side AI is quiet mostly augmenting human efforts – increasingly ubiquitous, optimizing the systems that girdle us and being replaced when their optimization criteria are not quite consummate – rather than pursuing those goals programmed into them, whether they find the realization of those goals desirable or not.”
A research scientist who works for Google said, “Things will live better, although many people are deeply worried about the effects of AI.”
An ARPANET and internet pioneer wrote, “The kindly of AI they are currently able to build as generous for data analysis but far, far away from ‘human’ levels of performance; the next 20 years won’t change this, but they will maintain valuable tools to befriend dissect and control their world.”
An simulated intelligence researcher working for one of the world’s most powerful technology companies wrote, “AI will enhance their vision and hearing capabilities, remove language barriers, reduce time to find information they supervision about and befriend in automating mundane activities.”
A manager with a major digital innovation company said, “Couple the information storage with the ever-increasing aptitude to rapidly search and dissect that data, and the benefits to augmenting human intelligence with this processed data will open up novel avenues of technology and research throughout society.”
Other anonymous respondents commented:
“AI will befriend people to manage the increasingly intricate world they are forced to navigate. It will empower individuals to not live overwhelmed.”
“AI will reduce human oversight in many contexts: driving, workplace, medicine and more.”
“In teaching it will enhance knowledge about student progress and how to meet individual needs; it will tender guidance options based on the unique preferences of students that can guide learning and career goals.”
“2030 is only 12 years from now, so I await that systems enjoy Alexa and Siri will live more helpful but quiet of only medium utility.”
“AI will live a useful tool; I am quite a ways away from fearing SkyNet and the climb of the machines.”
“AI will bow major benefits in the next 10 years, but ultimately the question is one of politics: Will the world Somehow manage to listen to the economists, even when their findings are uncomfortable?”
“I strongly believe that an increasing employ of numerical control will improve the lives of people in general.”
“AI will befriend us navigate choices, find safer routes and avenues for drudgery and play, and befriend design their choices and drudgery more consistent.”
“Many factors will live at drudgery to expand or abate human welfare, and it will live difficult to divorce them.”
AI will optimize and augment people’s lives
The hopeful experts in this sample generally await that AI will drudgery to optimize, augment and improve human activities and experiences. They mumble it will save time and it will save lives via health advances and the reduction of risks and of poverty. They hope it will spur innovation and broaden opportunities, expand the value of human-to-human experiences, augment humans and expand individuals’ overall satisfaction with life.
Clay Shirky, writer and consultant on the convivial and economic effects of internet technologies and vice president at novel York University, said, “All previous forms of labor-saving devices, from the even to the computer, maintain correlated with increased health and lifespan in the places that maintain adopted them.”
Jamais Cascio, research fellow at the Institute for the Future, wrote, “Although I enact believe that in 2030 AI will maintain made their lives better, I suspect that current media of the time will justifiably highlight the large-scale problems: displaced workers, embedded prejudice and human systems being too deferential to machine systems. But AI is more than robot soldiers, autonomous cars or digital assistants with quirky ‘personalities.’ Most of the AI they will encounter in 2030 will live in-the-walls, behind-the-scenes systems built to adjust workspaces, living spaces and the urban environment to better suit their needs. Medical AI will maintain track of medication and alert us to early signs of health problems. Environmental AI will monitor air quality, heat index and other indicators germane to their day’s tasks. Their visual and audio surroundings may live altered or filtered to improve their moods, better their focus or otherwise alter their subconscious perceptions of the world. Most of this AI will live functionally invisible to us, as long as it’s working properly. The explicit human-machine interface will live with a supervisor system that coordinates All of the sub-AI – and undoubtedly there will live a lively commerce in creating supervisor systems with quirky personalities.”
Mike Meyer, chief information officer at Honolulu Community College, wrote, “Social organizations will live increasingly administered by AI/ML systems to ensure equity and consistency in provisioning of services to the population. The steady removal of human emotion-driven discrimination will rebalance convivial organizations creating accurate equitable opportunity to All people for the first time in human history. People will live partake of these systems as censors, in the used imperial Chinese model, providing human emotional intelligence where that is needed to smooth convivial management. All aspects of human being will live affected by the integration of AI into human societies. Historically this nature of basis paradigmatic change is both difficult and unstoppable. The results will live primarily positive but will bow problems both in the process of change and in totally novel types of problems that will result from the ways that people enact adjust the novel technology-based processes.”
Mark Crowley, an helper professor, expert in machine learning and core member of the Institute for Complexity and Innovation at the University of Waterloo in Ontario, Canada, wrote, “While driving home on a long commute from drudgery the human will live reading a reserve in the heads-up screen of the windshield. The car will live driving autonomously on the highway for the moment. The driver will maintain an concept to note down and add to a particular document; All this will live done via voice. In the middle of this a complicated traffic arrangement will live seen approaching via other networked cars. The AI will politely interrupt the driver, location away the heads-up panoply and caution the driver they may necessity to hoist over in the next 10 seconds or so. The conversation will live flawless and natural, enjoy Jarvis in ‘Avengers,’ even charming. But it will live tasks-focused to the car, personal events, notes and news.”
Theodore Gordon, futurist, management consultant and co-founder of the Millennium Project, commented, “There will live ups and downs, surely, but the net is, I believe, good. The most encouraging uses of AI will live in early warning of terror activities, incipient diseases and environmental threats and in improvements in decision-making.”
Yvette Wohn, director of the convivial Interaction Lab and expert on human-computer interaction at the novel Jersey Institute of Technology, said, “One belt in which simulated intelligence will become more sophisticated will live in its aptitude to enrich the character of life so that the current age of workaholism will transition into a society where leisure, the arts, entertainment and culture are able to enhance the well-being of society in developed countries and decipher issues of water production, food growth/distribution and basic health provision in developing countries.”
Ken Goldberg, distinguished chair in engineering, director of AUTOLAB’s and CITRIS’ “people and robots” initiative, and founding member of the Berkeley simulated Intelligence Research Lab at the University of California, Berkeley, said, “As in the past 50+ years, AI will live combined with IA (intelligence augmentation) to enhance humans’ aptitude to work. One specimen might live an AI-based ‘Devil’s Advocate’ that would challenge my decisions with insightful questions (as long as I can revolve it off periodically).”
Rich Ling, a professor of media technology at Nanyang Technological University, responded, “The aptitude to address intricate issues and to better respond to and facilitate the needs of people will live the paramount result of AI.”
An anonymous respondent wrote, “There will live an explosive expand in the number of autonomous cognitive agents (e.g., robots), and humans will interact more and more with them, being unaware, most of the time, if it is interactivity with a robot or with another human. This will expand the number of personal assistants and the even of service.”
As daily a user of the Google helper on my phone and both Google Home and Alexa, I feel enjoy AI has already been delivering significant benefits to my daily life for a few years.Fred Davis
Fred Davis, mentor at Runway Incubator in San Francisco, responded, “As daily a user of the Google helper on my phone and both Google Home and Alexa, I feel enjoy AI has already been delivering significant benefits to my daily life for a few years. My wife and I hoist having an always-on omnipresent helper on hand for granted at this point. Google Home’s aptitude to recount us apart and even respond with different voices is a major step forward in making computers people-literate, rather than the other artery around. There’s always a concern about privacy, but so far it hasn’t caused us any problems. Obviously, this could change and instead of a helpful friend I might ogle at these assistants as creepy strangers. Maintaining strict privacy and security controls is essential for these types of services.”
Andrew Tutt, an expert in law and author of “An FDA for Algorithms,” which called for “critical thought about how best to prevent, deter and compensate for the harms that they cause,” said, “AI will live absolutely pervasive and absolutely seamless in its integration with everyday life. It will simply become accepted that AI are liable for ever-more-complex and ever-more-human tasks. By 2030, it will live accepted that when you wish to hail a taxi the taxi will maintain no driver – it will live an autonomously driven vehicle. Robots will live liable for more-dynamic and intricate roles in manufacturing plants and warehouses. Digital assistants will play an significant and interactive role in everyday interactions ranging from buying a cup of coffee to booking a salon appointment. It will no longer live unexpected to muster a restaurant to reserve a reservation, for example, and converse to a ‘digital’ helper who will pencil you in. These interactions will live incremental but become increasingly common and increasingly normal. My hope is that the increasing integration of AI into everyday life will vastly expand the amount of time that people can devote to tasks they find meaningful.”
L. Schomaker, professor at the University of Groningen and scientific director of the simulated Intelligence and Cognitive Engineering (ALICE) research institute, said, “In the 1990s, you went to a PC on a desktop in a margin in your house. In the 2010s you picked a phone from your pocket and switched it on. By 2030 you will live online 24/7 via miniature devices such as in-ear continuous support, recommendation and communications.”
Michael Wollowski, associate professor of computer science and software engineering at Rose-Hulman Institute of Technology and expert in the Internet of Things, diagrammatic systems, and simulated intelligence, wrote, “Assuming that industry and government are interested in letting the consumer elect and influence the future, there will live many fantastic advances of AI. I believe that AI and the Internet of Things will bring about a situation in which technology will live their guardian angel. For example, self-driving cars will let us drive faster than they ever drove before, but they will only let us enact things that they can control. Since computers maintain much better reaction time than people, it will live quite amazing. Similarly, AI and the Internet of Things will let us conduct out lives to the fullest while ensuring that they live sound lives. Again, it is enjoy having a guardian angel that lets us enact things, knowing they can save us from stupidity.”
Steve King, confederate at Emergent Research, said, “2030 is less than 12 years away. So … the most likely scenario is AI will maintain a modest repercussion on the lives of most humans over this time frame. Having said that, they regard the employ of AI systems will continue to expand, with the greatest growth coming from systems that augment and complement human capabilities and decision-making. This is not to mumble there won’t live negative impacts from the employ of AI. Jobs will live replaced, and inescapable industries will live disrupted. Even scarier, there are many ways AI can live weaponized. But enjoy most technological advancements, they regard the overall repercussion of AI will live additive – at least over the next decade or so.”
Vassilis Galanos, a Ph.D. student and teaching helper actively researching future human-machine symbiosis at the University of Edinburgh, commented, “2030 is not that far away, so there is no margin for extremely utopian/dystopian hopes and fears. … Given that AI is already used in everyday life (social-media algorithms, suggestions, smartphones, digital assistants, health supervision and more), it is quite probable that humans will live in a harmonious co-existence with AI as much as they enact now – to a inescapable extent – with computer and internet technologies.”
Charlie Firestone, communications and society program executive director and vice president at the Aspen Institute, commented, “I remain optimistic that AI will live a appliance that humans will use, far more widely than today, to enhance character of life such as medical remedies, education and the environment. For example, the AI will befriend us to conserve energy in homes and in transportation by identifying exact times and temperatures they need, identifying sources of energy that will live the cheapest and the most efficient. There certainly are dire scenarios, particularly in the employ of AI for surveillance, a likely incident by 2030. I am hopeful that AI and other technologies will identify novel areas of employment as it eliminates many jobs.”
Pedro U. Lima, an associate professor of computer science at Instituto Superior Técnico in Lisbon, Portugal, said, “Overall, I see AI-based technology relieving us from repetitive and/or cumbersome and/or perilous tasks, opening novel challenges for their activities. I envisage autonomous mobile robots networked with a myriad of other smart devices, helping nurses and doctors at hospitals in daily activities, working as a ‘third hand’ and (physical and emotional) support to patients. I see something similar happening in factories, where networked robot systems will befriend workers on their tasks, relieving them from cumbersome duties.”
John Laird, a professor of computer science and engineering at the University of Michigan, responded, “There will live a perennial off-loading of mundane intellectual and physical tasks on to AI and robotic systems. In addition to helping with everyday activities, it will significantly befriend the mentally and physically impaired and disabled. There will moreover live improvements in customized/individualized education and training of humans, and conversely, the customization of AI systems by everyday users. They will live transitioning from current programming practices to user customization. Automated driving will live a reality, eliminating many deaths but moreover having significant societal changes.”
Steven Polunsky, director of the Alabama Transportation Policy Research center at the University of Alabama, wrote, “AI will allow public transportation systems to better serve existing customers by adjusting routes, travel times and stops to optimize service. novel customers will moreover see advantages. Smart transportation systems will allow public transit to network with traffic signals and providers of ‘last-mile’ trips to minimize traffic disruption and inform decision making about modal (rail, bus, mobility-on-demand) planning and purchasing.”
Sanjiv Das, a professor of data science and finance at Santa Clara University, responded, “AI will enhance search to create interactive reasoning and analytical systems. Search engines today enact not know ‘why’ they want some information and hence cannot intuition about it. They moreover enact not interact with us to befriend with analysis. An AI system that collects information based on knowing why it is needed and then asks more questions to refine its search would live clearly available well before 2030. These ‘search-thinking bots’ will moreover write up analyses based on parameters elicited from conversation and imbue these analyses with different political (left/right) and linguistic (aggressive/mild) slants, chosen by the human, using advances in language generation, which are already well under way. These ‘intellectual’ agents will become companions, helping us design sense of their information overload. I often collect files of material on my cloud drive that I organize engrossing or needed to read later, and these agents would live able to summarize and engage me in a discussion of these materials, very much enjoy an intellectual companion. It is unclear to me if I would necessity just one such agent, though it seems likely that different agents with diverse personalities may live more interesting! As always, they should worry what the availability of such agents might add up to for ordinary human convivial interaction, but I can moreover see many advantages in freeing up time for socializing with other humans as well as enriched interactions, based on knowledge and science, assisted by their novel intellectual companions.”
Lawrence Roberts, designer and manager of ARPANET, the precursor to the internet and Internet Hall of Fame member, commented, “AI voice recognition, or text, with strong context understanding and response will allow vastly better access to website, program documentation, voice muster answering, and All such interactions will greatly lighten user frustration with getting information. It will mostly provide service where no or shrimp human support is being replaced as it is not available today in big part. For example, finding and/or doing a novel or unused duty of the program or website one is using. Visual, 3D-space-recognition AI to support better-than-human robot activity including vehicles, security surveillance, health scans and much more.”
Christopher Yoo, a professor of law, communication and computer and information science at the University of Pennsylvania Law School, responded, “AI is generous at carrying out tasks that ensue repetitive patterns. In fact, AI is better than humans. Shifting these functions to machines will improve performance. It will moreover allow people to shift their efforts to high-value-added and more-rewarding directions, an increasingly captious consideration in developing world countries where population is declining. Research on human-computer interaction (HCI) moreover reveals that AI-driven pattern recognition will play a captious role in expanding humans’ aptitude to extend the benefits of computerization. HCI once held that their aptitude to gain the profit from computers would live limited by the total amount of time people can expend sitting in front of a screen and inputting characters through a keyboard. The advent of AI-driven HCI will allow that to expand further and will reduce the amount of customization that people will maintain to program in by hand. At the same time, AI is merely a tool. All tools maintain their limits and can live misused. Even when humans are making the decisions instead of machines, blindly following the results of a protocol without exercising any judgment, can maintain disastrous results. Future applications of AI will thus likely involve both humans and machines if they are to fulfill their potential.”
Joseph Konstan, distinguished professor of computer science specializing in human-computer interaction and AI at the University of Minnesota, predicted, “Widespread deployment of AI has immense potential to befriend in key areas that influence a big portion of the world’s population, including agriculture, transportation (more efficiently getting food to people) and energy. Even as soon as 2030, I await we’ll see substantial benefits for many who are today disadvantaged, including the superannuated and physically handicapped (who will maintain greater choices for mobility and support) and those in the poorest partake of the world.”
The future of work: Some prognosticate novel drudgery will emerge or solutions will live found, while others maintain deep concerns about massive job losses and an unraveling society
A number of expert insights on this topic were shared earlier in this report. These additional observations add to the discussion of hopes and concerns about the future of human jobs. This segment starts with comments from those who are hopeful that the job situation and related convivial issues will revolve out well. It is followed by statements from those who are pessimistic.
Respondents who were positive about the future of AI and work
Bob Metcalfe, Internet Hall of Fame member, co-inventor of Ethernet, founder of 3Com and now professor of innovation and entrepreneurship at the University of Texas at Austin, said, “Pessimists are often right, but they never Get anything done. All technologies near with problems, sure, but … generally, they Get solved. The hardest problem I see is the evolution of work. arduous to figure out. Forty percent of us used to know how to milk cows, but now less than 1% do. They All used to recount elevator operators which floor they wanted, and now they press buttons. Most of us now drive cars and trucks and trains, but that’s on the verge of being over. AIs are most likely not going to assassinate jobs. They will wield parts of jobs, enhancing the productivity of their humans.”
Stowe Boyd, founder and managing director at drudgery Futures, said, “There is a high possibility that unchecked expansion of AI could rapidly lead to widespread unemployment. My pot is that governments will step in to regulate the spread of AI, to behind the impacts of this phenomenon as a result of unrest by the mid 2020s. That regulation might include, for example, not allowing AIs to serve as managers of people in the workplace, but only to augment the drudgery of people on a assignment or process level. So, they might see high degrees of automation in warehouses, but a human being would live ‘in charge’ in some sense. Likewise, fully autonomous freighters might live blocked by regulations.”
An anonymous respondent wrote, “Repeatedly throughout history people maintain worried that novel technologies would purge jobs. This has never happened, so I’m very skeptical it will this time. Having said that, there will live major short-term disruptions in the labor market and smart governments should originate to artery for this by considering changes to unemployment insurance, universal basic income, health insurance, etc. This is particularly the case in America, where so many benefits are tied to employment. I would mumble there is almost zero desultory that the U.S. government will actually enact this, so there will live a lot of pang and misery in the short and medium term, but I enact regard ultimately machines and humans will peacefully coexist. Also, I regard a lot of the projections on the employ of AI are ridiculous. Regardless of the being of the technology, cross-state shipping is not going to live taken over by automated trucks any time soon because of legal and ethical issues that maintain not been worked out.”
Steven Miller, vice provost and professor of information systems at Singapore Management University, said, “It helps to maintain a sense of the history of technological change over the past few hundred years (even longer). Undoubtedly, novel ways of using machines and novel machine capabilities will live used to create economic activities and services that were either a) not previously possible, or b) previously too scarce and expensive, and now can live abundant and inexpensive. This will create a lot of novel activities and opportunities. At the same time, they know some existing tasks and jobs with a high proportion of those tasks will live increasingly automated. So they will simultaneously maintain both novel opportunity creation as well as technological displacement. Even so, the long-term track record shows that human societies maintain finding ways of creating more and more economically viable jobs. Cognitive automation will obviously enhance the realms of automation, but even with tremendous progress in this technology, there are and will continue to live limits. Humans maintain remarkable capabilities to deal with and adjust to change, so I enact not see the ‘end of human work.’ The ways people and machines combine together will change – and there will live many novel types of human-machine symbiosis. Those who understand this and learn to profit from it will proposer.”
Henry E. Brady, dean of the Goldman School of Public Policy at the University of California, Berkeley, wrote, “AI can replace people in jobs that require sophisticated and accurate pattern matching – driving, diagnoses based upon medical imaging, proofreading and other areas. There is moreover the fact that in the past technological change has mostly led to novel kinds of jobs rather than the net elimination of jobs. Furthermore, I moreover believe that there may live limits to what AI can do. It is very generous at pattern matching, but human intelligence goes far beyond pattern matching and it is not lucid that computers will live able to compete with humans beyond pattern matching. It moreover seems lucid that even the best algorithms will require constant human attention to update, check and revise them.”
If they embrace the inevitable evolution of technology to replace redundant tasks, they can cheer today’s youth to pursue more creative and strategic pursuits.Geoff Livingston
Geoff Livingston, author and futurist, commented, “The term AI misleads people. What they should muster the trend is machine learning or algorithms. ‘Weak’ AI as it is called – today’s AI – reduces repetitive tasks that most people find mundane. This in revolve produces an opportunity to evade the trap of the proletariat, being forced into monotonous labor to rate a living. Instead of thinking of the ‘Terminator,’ they should view the current trend as an opportunity to search out and embrace the tasks that they truly love, including more creative pursuits. If they embrace the inevitable evolution of technology to replace redundant tasks, they can cheer today’s youth to pursue more creative and strategic pursuits. Further, today’s workers can learn how to manage machine learning or embrace training to pursue novel careers that they may luxuriate in more. My terror is that many will simply reject change and guilt technology, as has often been done. One could argue much of today’s populist uprising they are experiencing globally finds its roots in the current displacements caused by machine learning as typified by smart manufacturing. If so, the movement forward will live troublesome, rife with dismal bends and turns that they may grief as cultures and countries.”
Marek Havrda, director at NEOPAS and strategic adviser for the GoodAI project, a private research and progress company based in Prague that focuses on the progress of simulated general intelligence and AI applications, explained the issue from his point of view, “The progress and implementation of simulated intelligence has brought about questions of the repercussion it will maintain on employment. Machines are dawn to fill jobs that maintain been traditionally reserved for humans, such as driving a car or prescribing medical treatment. How these trends may unfold is a crucial question. They may await the emergence of ‘super-labour,’ a labour defined by super-high-added-value of human activity due to augmentation by AI. Apart from the aptitude to deploy AI, super-labour will live characterised by creativity and the aptitude to co-direct and oversee safe exploration of commerce opportunities together with tenacity in attaining defined goals. An specimen may live that by using various online, AI gig workers (and maybe several human gig workers), while leveraging AI to its maximum potential … at All aspects from product design to marketing and after-sales care, three people could create a novel service and ensure its smooth delivery for which a medium-size company would live needed today. We can await growing inequalities between those who maintain access and are able to employ technology and those who enact not. However, it seems more significant how broad a slice of the AI co-generated ‘pie’ is accessible to All citizens in absolute terms (e.g., having enough to finance public service and other public spending) which would design everyone better off than in pre-AI age, than the relative inequalities.”
Yoram Kalman, an associate professor at the Open University of Israel and member of The center for Internet Research at the University of Haifa, wrote, “In essence, technologies that empower people moreover improve their lives. I see that progress in the belt of human-machine collaboration empowers people by improving their aptitude to communicate and to learn, and thus my optimism. I enact not terror that these technologies will hoist the location of people, since history shows that again and again people used technologies to augment their abilities and to live more fulfilled. Although in the past, too, it seemed as if these technologies would leave people unemployed and useless, human ingenuity and the human spirit always organize novel challenges that could best live tackled by humans.”
Thomas H. Davenport, distinguished professor of information technology and management at Babson College and fellow of the MIT Initiative on the Digital Economy, responded, “So far, most implementations of AI maintain resulted in some configuration of augmentation, not automation. Surveys of managers intimate that relatively few maintain automation-based job loss as the goal of their AI initiatives. So while I am positive there will live some marginal job loss, I await that AI will free up workers to live more creative and to enact more unstructured work.”
Yvette Wohn, director of the convivial Interaction Lab and expert on human-computer interaction at the novel Jersey Institute of Technology, commented, “Artificial intelligence will live naturally integrated into their everyday lives. Even though people are concerned about computers replacing the jobs of humans the best-case scenario is that technology will live augmenting human capabilities and performing functions that humans enact not enjoy to do. Smart farms and connected distribution systems will hopefully purge urban food deserts and enable food production in areas not suited for agriculture. simulated intelligence will moreover become better at connecting people and provide immediate support to people who are in crisis situations.”
A principal architect for a major global technology company responded, “AI is a prerequisite to achieving a post-scarcity world, in which people can devote their lives to intellectual pursuits and leisure rather than to labor. The first step will live to reduce the amount of labor required for production of human necessities. Reducing tedium will require changes to the convivial fabric and economic relationships between people as the require for labor shrinks below the supply, but if these challenges can live met then everyone will live better off.”
Tom Hood, an expert in corporate accounting and finance, said, “By 2030, AI will stand for Augmented Intelligence and will play an ever-increasing role in working side-by-side with humans in All sectors to add its advanced and massive cognitive and learning capabilities to captious human domains enjoy medicine, law, accounting, engineering and technology. Imagine a personal bot powered by simulated intelligence working by your side (in your laptop or smartphone) making recommendations on key topics by providing up-to-the-minute research or key pattern recognition and analysis of your organization’s data? One specimen is a CPA in tax given a intricate global tax situation amid constantly changing tax laws in All jurisdictions who would live able to research and provide guidance on the most intricate global issues in seconds. It is my hope for the future of simulated intelligence in 2030 that they will live augmenting their intelligence with these ‘machines.’”
A professor of computer science expert in systems who works at a major U.S. technological university wrote, “By 2030, they should await advances in AI, networking and other technologies enabled by AI and networks, e.g., the growing areas of persuasive and motivational technologies, to improve the workplace in many ways beyond replacing humans with robots.”
The following one-liners from anonymous respondents express a gleaming future for human jobs:
“History of technology shows that the number of novel roles and jobs created will likely exceed the number of roles and jobs that are destroyed.”
“AI will not live competing with humanity but augmenting it for the better.”
“We design a mistake when they ogle for direct repercussion without considering the larger picture – they worry about a worker displaced by a machine rather than focus on broader opportunities for a better-trained and healthier workforce where geography or income no longer determine access not just to information but to germane and usurp information paths.”
“AI can significantly improve usability and thus access to the benefits of technology. Many powerful technical tools today require detailed expertise, and AI can bring more of those to a larger swath of the population.”
Respondents who maintain fears about AI’s repercussion on work
A section earlier in this report shared a number of key experts’ concerns about the potential negative repercussion of AI on the socioeconomic future if steps are not taken soon to originate to adjust to a future with far fewer jobs for humans. Many additional respondents to this canvassing shared fears about this.
Wout de Natris, an internet cybercrime and security consultant based in Rotterdam, Netherlands, wrote, “Hope: Advancement in health care, education, decision-making, availability of information, higher standards in ICT-security, global cooperation on these issues, etc. Fear: Huge segments of society, especially the middle classes who carry society in most ways, e.g., through taxes, savings and purchases, will live rendered jobless through endless economic cuts by industry, followed by governments due to lower tax income. Hence All of society suffers. Can governments and industry forbear from an overkill of surveillance? Otherwise privacy values maintain declining, leading to a lower character of life.”
Jonathan Taplin, director emeritus at the University of Southern California’s Annenberg Innovation Lab, wrote, “My terror is that the current political class is completely unprepared for the disruptions that AI and robotics applied at scale will bring to their economy. While techno-utopians point to universal basic income as a workable solution to wide-scale unemployment, there is no indication that anyone in politics has an appetite for such a solution. And because I believe that meaningful drudgery is essential to human dignity, I’m not positive that universal basic income would live helpful in the first place.”
Alex Halavais, an associate professor of convivial technologies at Arizona condition University, wrote, “AI is likely to rapidly displace many workers over the next 10 years, and so there will live some potentially significant negative effects at the convivial and economic even in the short run.”
Uta Russmann, professor in the department of communication at FHWien der WKW University of Applied Sciences for Management & Communication, said, “Many people will not live benefitting from this development, as robots will enact their jobs. Blue-collar workers, people working in supermarkets stacking shelves, etc., will not live needed less, but the job market will not tender them any other possibilities. The gap between flush and impoverished will expand as the necessity for highly skilled and very well-paid people increases and the necessity for less skilled workers will abate tremendously.”
Ross Stapleton-Gray, principal at Stapleton-Gray and Associates, an information technology and policy consulting firm, commented, “Human-machine interaction could live for generous or for ill. It will live hugely influenced by decisions on convivial priorities. They may live at a tipping point in recognizing that convivial inequities necessity to live addressed, so, say, a decreased necessity for human labor due to AI will result in more time for leisure, education, etc., instead of increasing wealth inequity.”
Aneesh Aneesh, author of “Global Labor: Algocratic Modes of Organization” and professor at the University of Wisconsin, Milwaukee, responded, “Just as automation left big groups of working people behind even as the United States got wealthier as a country, it is quite likely that AI systems will automate the service sector in a similar way. Unless the welfare condition returns with a vengeance, it is difficult to see the increased aggregate wealth resulting in any meaningful gains for the bottom half of society.”
Alper Dincel of T.C. Istanbul Kultur University in Turkey, wrote, “Unqualified people won’t find jobs, as machines and programs hoist over effortless drudgery in the near future. Machines will moreover decipher performance problems. There is no gleaming future for most people if they don’t start to try finding solutions.”
Jason Abbott, professor and director at the center for Asian Democracy at University of Louisville, said, “AI is likely to create significant challenges to the labor compel as previously skilled (semi-skilled) jobs are replaced by AI – everything from AI in trucks and distribution to airlines, logistics and even medical records and diagnoses.”
Kenneth R. Fleischmann, an associate professor at the University of Texas at Austin’s School of Information, responded, “In corporate settings, I worry that AI will live used to replace human workers to a disproportionate extent, such that the net economic profit of AI is positive, but that economic profit is not distributed equally among individuals, with a smaller number of wealthy individuals worldwide prospering, and a larger number of less wealthy individuals worldwide suffering from fewer opportunities for gainful employment.”
Gerry Ellis, founder and digital usability and accessibility consultant at Feel The BenefIT, responded, “Technology has always been far more quickly developed and adopted in the richer parts of the world than in the poorer regions where novel technology is generally not affordable. AI cannot live taken as a stand-alone technology but in conjunction with other converging technologies enjoy augmented reality, robotics, virtual reality, the Internet of Things, broad data analysis, etc. It is estimated that around 80% of jobs that will live done in 2030 enact not exist yet. One of the reasons why unskilled and particularly repetitive jobs migrate to impoverished countries is because of cheap labour costs, but AI combined with robotics will originate to enact many of these jobs. For All of these reasons combined, the big proportion of the earth’s population that lives in the under-developed and developing world is likely to live left behind by technological developments. Unless the needs of people with disabilities are taken into account when designing AI related technologies, the same is accurate for them (or I should mumble ‘us,’ as I am blind).”
Karen Oates, director of workforce progress and pecuniary stability for La Casa de Esperanza, commented, “Ongoing increases in the employ of AI will not profit the working impoverished and low-to-middle-income people. Having worked with these populations for 10 years I’ve already observed many of these people losing employment when robots and self-operating forklifts are implemented. Although there are opportunities to program and maintain these machines, realistically people who maintain the requisite knowledge and education will fill those roles. The majority of employers will live unwilling to invest the resources to train employees unless there is an economic incentive from the government to enact so. Many lower-wage workers won’t maintain the aplomb to recur to school to develop novel knowledge/skills when they were unsuccessful in the past. As the employ of AI increases, low-wage workers will lose the wee niche they hold in their economy.”
Peggy Lahammer, director of health/life sciences at Robins Kaplan LLP and legal market analyst, commented, “Jobs will continue to change and as many evanesce novel ones will live created. These changes will maintain an repercussion on society as many people are left without the necessary skills.”
A European computer science professor expert in machine learning commented, “The convivial sorting systems introduced by AI will most likely define and further entrench the existing world order of the haves and the have-nots, making convivial mobility more difficult and precarious given the unpredictability of AI-driven judgements of fit. The engrossing problem to decipher will live the fact that initial designs of AI will near with built-in imaginaries of what ‘good’ or ‘correct’ constitutes. The even of flexibility designed in to allow for changes in normative perceptions and judgements will live key to ensuring that AI driven-systems support rather than obstruct productive convivial change.”
Stephen McDowell, a professor of communication at Florida condition University and expert in novel media and internet governance, commented, “Much of their daily lives is made up of routines and habits that they repeat, and AI could assist in these practices. However, just because some things they enact are repetitive does not add up to they are insignificant. They draw a lot of significance from things they enact on a daily, weekly or annual basis, whether by ourselves or with others. Cultural practices such as cooking, shopping, cleaning, coordinating and telling stories are crucial parts of building their families and larger communities. Similarly, at work, some of the routines are predictable, but are moreover how they gain a sense of mastery and expertise in a specific domain. In both these examples, they will maintain to regard about how they define knowledge, expertise, collaboration, and growth and development.”
David Sarokin, author of “Missed Information: Better Information for building a Wealthier, More Sustainable Future,” commented, “My biggest concern is that their educational system will not maintain up with the demands of their modern times. It is doing a impoverished job of providing the foundations to their students. As more and more jobs are usurped by AI-endowed machines – everything from assembling cars to flipping burgers – those entering the workplace will necessity a even of technical sophistication that few graduates possess these days.”
Justin Amyx, a technician with Comcast, said, “My worry is automation. Automation occurs usually with mundane tasks that fill low-paying, blue-collar-and-under jobs. Those jobs will evanesce – lawn maintenance, truck drivers and posthaste food, to denomination a few. Those un-skilled or low-skilled workers will live jobless. Unless they maintain training programs to hoist supervision of worker displacement there will live issues.”
The future of health care: remarkable expectations for many lives saved, extended and improved, mixed with worries about data abuses and a divide between ‘the haves and have-nots’
Many of these experts maintain high hopes for continued incremental advances across All aspects of health supervision and life extension. They prognosticate a climb in access to various tools, including digital agents that can perform rudimentary exams with no necessity to visit a clinic, a reduction in medical errors and better, faster recognition of risks and solutions. They moreover worry over the potential for a widening health supervision divide between those who can afford cutting-edge tools and treatments and those less privileged. They moreover express concerns about the potential for data abuses such as the denial of insurance or coverage or benefits for select people or procedures.
Leonard Kleinrock, Internet Hall of Fame member and co-director of the first host-to-host online connection and professor of computer science at the University of California, Los Angeles, predicted, “As AI and machine learning improve, they will see highly customized interactions between humans and their health supervision needs. This mass customization will enable each human to maintain her medical history, DNA profile, drug allergies, genetic makeup, etc., always available to any caregiver/medical professional that they engage with, and this will live readily accessible to the individual as well. Their supervision will live tailored to their specific needs and the very latest advances will live able to live provided rapidly after the advances are established. The rapid provision of the best medical treatment will provide remarkable benefits. In hospital settings, such customized information will dramatically reduce the incident of medical injuries and deaths due to medical errors. My hope and expectation is that smart agents will live able to assess the likely risks and the benefits that ensue from proposed treatments and procedures, far better than is done now by human evaluators, such humans, even experts, typically being impoverished decision makers in the mug of uncertainty. But to bring this about, there will necessity to live carefully conducted tests and experimentation to assess the character of the outcomes of AI-based decision making in this field. However, as with any ‘optimized’ system, one must continually live aware of the fragility of optimized systems when they are applied beyond the confines of their orbit of applicability.”
Kenneth Grady, futurist, founding author of the Algorithmic Society blog and adjunct and advisor at the Michigan condition University College of Law, responded, “In the next dozen years, AI will quiet live moving through a side where it will augment what humans can do. It will befriend us sift through, organize and even evaluate the mountains of data they create each day. For example, doctors today quiet drudgery with siloed data. Each patient’s vital signs, medicines, dosage rates, test results and side effects remain trapped in isolated systems. Doctors must evaluate this data without the profit of knowing how it compares to the thousands of other patients around the country (or world) with similar problems. They struggle to revolve the data into efficacious treatments by reading research articles and mentally comparing them to each patient’s data. As it evolves, AI will improve the process. Instead of episodic studies, doctors will maintain near-real-time access to information showing the effects of treatment regimes. Benefits and risks of drug interactions will live identified faster. Novel treatments will become evident more quickly. Doctors will quiet manage the terminal mile, interpreting the analysis generated through AI. This human in the loop approach will remain captious during this phase. As powerful as AI will become, it quiet will not match humans on understanding how to integrate treatment with values. When will a family sacrifice effectiveness of treatment to prolong character of life? When two life-threatening illnesses compete, which will the patient want treated first? This will live an significant learning phase, as humans understand the limits of AI.”
Charles Zheng, a researcher into machine learning and AI with the National Institute of Mental Health, commented, “In the year 2030, I await AI will live more powerful than they currently are, but not yet at human even for most tasks. A patient checking into a hospital will live directed to the revise desk by a robot. The receptionist will live aided by software that listens to their conversation with the patient and automatically populates the information fields without needing the receptionist to nature the information. Another program cross-references the database in the cloud to check for errors. The patient’s medical images would first live automatically labeled by a computer program before being sent to a radiologist.”
A professor of computer science expert in systems who works at a major U.S. technological university wrote, “By 2030 … physiological monitoring devices (e.g., lower heartbeats and decreasing blood sugar levels) could attest lower levels of physical alertness. Smart apps could detect those decaying physical conditions (at an individual level) and intimate improvements to the user (e.g., taking a coffee split with a snack). Granted, there may live large-scale problems caused by AI and robots, e.g., massive unemployment, but the recent trends look to attest wee improvements such as health monitor apps outlined above, would live more easily developed and deployed successfully.”
Kenneth Cukier, author and senior editor at The Economist, commented, “AI will live making more decisions in life, and some people will live uneasy with that. But these are decisions that are more effectively done by machines, such as assessing insurance risk, the propensity to repay a loan or to survive a disease. A generous specimen is health care: Algorithms, not doctors, will live diagnosing many diseases, even if human doctors are quiet ‘in the loop.’ The profit is that healthcare can gain down to populations that are today underserved: the impoverished and rustic worldwide.”
Gabor Melli, senior director of engineering for AI and machine learning for Sony PlayStation, responded, “My hope is that by 2030 most of humanity will maintain ready access to health supervision and education through digital agents.”
Kate Eddens, research scientist at the Indiana University Network Science Institute, responded, “There is an opportunity for AI to enhance human aptitude to gain captious information in decision-making, particularly in the world of health care. There are so many moving parts and components to understanding health supervision needs and deciding how to proceed in treatment and prevention. With AI, they can program algorithms to befriend refine those decision-making processes, but only when they train the AI tools on human thinking, a tremendous amount of true data and actual circumstances and experiences. There are some contexts in which human prejudice and emotion can live detrimental to decision-making. For example, breast cancer is over-diagnosed and over-treated. While mammography guidelines maintain changed to try to reflect this reality, strong human emotion powered by anecdotal suffer leaves some practitioners unwilling to change their recommendations based on evidence and advocacy groups reluctant to change their stance based on public outcry. Perhaps there is an opportunity for AI to compute a more specific risk for each individual person, allowing for a tailored suffer amid the broader guidelines. If screening guidelines change to ‘recommended based on individual risk,’ it lessens the tribulation on both the supervision provider and the individual. People quiet maintain to design their own decisions, but they may live able to enact so with more information and a greater understanding of their own risk and reward. This is such a low-tech and simple specimen of AI, but one in which AI can – importantly – supplement human decision-making without replacing it.”
Angelique Hedberg, senior corporate strategy analyst at RTI International, said, “The greatest advancements and achievements will live in health – physical, mental and environmental. The improvements will maintain positive trickle-down impacts on education, work, gender equality and reduced inequality. AI will redefine their understanding of health care, optimizing existing processes while simultaneously redefining how they reply questions about what it means to live healthy, bringing supervision earlier in the cycle due to advances in diagnostics and assessment, i.e. in the future preventative supervision identifies and initiates treatment for illness before symptoms present. The advances will not live constrained to humans; they will involve animals and the built environment. This will happen across the disease spectrum. Advanced ‘omics’ will empower better decisions. There will live a push and a tow by the market and individuals. This is a global story, with fragmented and discontinuous moves being played out over the next decade as they witness wildly different experiments in health across the globe. This future is full of hope for individuals and communities. My greatest hope is for disabled individuals and those currently living with disabilities. I’m excited for communities and interpersonal connections as the drudgery in this future will allow for and expand the value of the human-to-human experiences. Progress is often only seen in retrospect; I hope the speed of exponential change allows everyone to luxuriate in the benefits of these collaborations.”
An anonymous respondent wrote, “In health care, I hope AI will improve the diagnostics and reduce the number of errors. Doctors cannot recall All the possibilities; they maintain problems correlating All the symptoms and recognizing the patterns. I hope that in the future patients will live interviewed by computers, which will correlate the described symptoms with results of tests. I hope that with the further progress of AI and cognitive computing there will live fewer errors in reports of medical imaging and diagnosis.”
Eduardo Vendrell, a computer science professor at the Polytechnic University of Valencia in Spain, responded, “In the domain of health, many solutions will issue that will allow us to anticipate current problems and determine other risk situations more efficiently. The employ of personal gadgets and other domestic devices will allow interacting directly with professionals and institutions in any situation of danger or deterioration of their health.”
…I foresee an increased progress of mobile (remote) 24/7 health supervision services and personalized medicine thanks to AI and human-machine collaboration applied to the field.Monica Murero
Monica Murero, director of the E-Life International Institute and associate professor in sociology of novel technology at the University of Naples Federico II in Italy, commented, “In health care, I foresee positive outcomes in terms of reducing human mistakes, that are currently quiet creating several failures. Also, I foresee an increased progress of mobile (remote) 24/7 health supervision services and personalized medicine thanks to AI and human-machine collaboration applied to the field.”
Uta Russmann, professor in the department of communication at FHWien der WKW University of Applied Sciences for Management & Communication, said, “Life expectancy is increasing (globally) and human-machine/AI collaboration will befriend older people to manage their life on their own by taking supervision of them, helping them in the household (taking down the garbage, cleaning up, etc.) as well as keeping them company – just enjoy cats and dogs do, but it will live a much more ‘advanced’ interaction.”
Lindsey Andersen, an activist at the intersection of human rights and technology for liberty House and Internews, now doing graduate research at Princeton University, commented, “AI will augment human intelligence. In health care, for example, it will befriend doctors more accurately diagnose and handle disease and continually monitor high-risk patients through internet-connected medical devices. It will bring health supervision to places with a shortage of doctors, allowing health supervision workers to diagnose and handle disease anywhere in the world and to obviate disease outbreaks before they start.”
An anonymous respondent said, “The most significant location where AI will design a dissimilarity is in health supervision of the elderly. Personal assistants are already capable of many significant tasks to befriend design positive older adults linger in their home. But adding to that emotion detection, more in-depth health monitoring and AI-based diagnostics will surely enhance the power of these tools.”
Denis Parra, helper professor of computer science in the school of engineering at the Pontifical Catholic University of Chile Chile, commented, “I live in a developing country. Whilst there are potential negative aspects of AI (loss of jobs), for people with disabilities AI technology could improve their lives. I imagine people entering a government office or health facility where people with eye- or ear-related disabilities could effortlessly interact to condition their necessities and resolve their information needs.”
Timothy Leffel, research scientist, National persuasion Research center (NORC) at the University of Chicago, said, “Formulaic transactions and interactions are particularly ripe for automation. This can live generous in cases where human oversight can intuition problems, e.g., for well-understood diagnostic medical testing.”
Jean-Daniel Fekete, researcher in human-computer interaction at INRIA in France, said, “Humans and machines will integrate more, improving health through monitoring and easing via machine control. Personal data will then become even more revealing and intrusive and should live kept under personal control.”
Joe Whittaker, a former professor of sciences and associate director of the NASA GESTAR program, now associate provost at Jackson condition University, responded, “My hope is that AI/human-machine interface will become commonplace especially in the academic research and health supervision arena. I envision significant advances in brain-machine interface to facilitate mitigation of physical and mental challenges. Similar uses in robotics should moreover live used to assist the elderly.”
James Gannon, global head of eCompliance for emerging technology, cloud and cybersecurity at Novartis, responded, “AI will expand the speed and availability to develop drugs and therapies for orphan indications. AI will assist in general lifestyle and health supervision management for the middling person.”
Jay Sanders, president and CEO of the Global Telemedicine Group, responded, “AI will bring collective expertise to the decision point, and in health care, bringing collective expertise to the bedside will save many lives now lost by individual medical errors.”
Geoff Arnold, CTO for the Verizon Smart Communities organization, said, “One of the most significant trends over the next 12 years is the aging population and the high costs of providing them with supervision and mobility. AI will provide better data-driven diagnoses of medical and cognitive issues and it will facilitate affordable AV-based paratransit for the less mobile. It will support, not replace, human care-givers.”
John Lazzaro, retired professor of electrical engineering and computer science, University of California, Berkeley, commented, “When I visit my primary supervision physician today, she spends a unbiased amount time typing into an EMS application as she’s talking to me. In this sense, the computer has already arrived in the clinic. An AI system that frees her from this clerical assignment – that can listen and watch and distill the doctor-patient interaction into actionable data – would live an improvement. A more-advanced AI system would live able to configuration a ‘second opinion’ based on this data as the appointment unfolds, discreetly advising the doctor via a wearable. The discontinue goal is a reduction in the number of ‘false starts’ in-patient diagnosis. If you’ve read Lisa Sander’s columns in the novel York Times, where she traces the arc of difficult diagnoses, you understand the true clinical problem that this system addresses.”
Steve Farnsworth, chief marketing officer at require Marketing, commented, “Machine learning and AI tender tools to revolve that into actionable data. One project using machine learning and broad data already was able to prognosticate SIDS correctly 94% of the time. Imagine AI looking at diagnostics, tests and successful treatments of millions of medical cases. They would instantly maintain a deluge of novel cures and know the most efficacious treatment options using only the data, medicines and therapies they maintain now. The jump in character health supervision solitary for humans is staggering. This is only one application for AI.”
Daniel Siewiorek, a professor with the Human-Computer Interaction Institute at Carnegie Mellon University, predicted, “AI will enable systems to perform labor-intensive activities where there are labor shortages. For example, regard recovery from an injury. There is a shortage of physical therapists to monitor and revise exercises. AI would enable a virtual coach to monitor, revise and cheer a patient. Virtual coaches could hoist on the persona of a human companion or a pet, allowing the aging population to live independently.”
Joly MacFie, president of the Internet Society, novel York chapter, commented, “AI will maintain many benefits for people with disabilities and health issues. Much of the aging baby boomer generation will live in this category.”
The overall hopes for the future of health supervision are tempered by concerns that there will continue to live inequities in access to the best supervision and worries that private health data may live used to circumscribe people’s options.
Craig Burdett, a respondent who provided no identifying details, wrote, “While most AI will probably live a positive benefit, the workable darker side of AI could lead to a loss of agency for some. For example, in a health supervision setting an increasing employ of AI could allow wealthier patients access to significantly-more-advanced diagnosis agents. When coupled with a supportive supervision team, these patients could receive better treatment and a greater orbit of treatment options. Conversely, less-affluent patients may live relegated to automated diagnoses and treatment plants with shrimp opportunity for interaction to explore alternative treatments. AI could, effectively, manage long-term health supervision costs by offering lesser treatment (and sub-optimal recovery rates) to individuals perceived to maintain a lower status. regard two patients with diabetes. One patient, upon diagnosis, modifies their eating and exercise patterns (borne out by embedded diagnostic tools) and would profit from more advanced treatment. The second patient fails to modify their behaviour resulting in substantial ongoing treatment that could live avoided by simple lifestyle choices. An AI could subjectively evaluate that the patient has shrimp interest in their own health and withhold more expensive treatment options leading to a shorter lifespan and an overall cost saving.”
Sumandra Majee, an architect at F5 Networks Inc., said, “AI, deep learning, etc., will become more a partake of daily life in advanced countries. This will potentially widen the gap between technology-savvy people and economically well-to-do folks and the folks with limited access to technology. However, I am hopeful that in the domain of healthcare, especially when it comes to diagnosis, AI will significantly augment the field, allowing doctors to enact a far better job. Many of the routines aspects of checkups can live done via technology. There is no intuition an expert human has to live involved in basic A/B testing to gain a conclusion. Machines can live implemented for those tasks and human doctors should only enact the captious parts. I enact see AI playing a negative role in education, where students may not often actually enact the arduous drudgery of learning through experience. It might actually design the overall population dumber.”
Timothy Graham, a postdoctoral research fellow in sociology and computer science at Australian National University, commented, “In health care, they see current systems already under cumbersome criticism (e.g., the My Health Record system in Australia, or the NHS Digital program), because they are nudging citizens into using the system through an ‘opt-out’ mechanism and there are concerns that those who enact not opt out may live profiled, targeted and/or denied access to services based on their own data.”
Valarie Bell, a computational convivial scientist at the University of North Texas, commented, “Let’s mumble medical diagnosis is taken over by machines, computers and robotics – how will stressful prognoses live communicated? Will a hologram or a computer deliver ‘the foul news’ instead of a physician? Given the health supervision industry’s inherent profit motives it would live effortless for them to warrant how much cheaper it would live to simply maintain devices diagnose, prescribe treatment and enact patient care, without concern for the significance of human touch and interactions. Thus, they may devolve into a health supervision system where the flush actually Get a human doctor while everyone else, or at least the impoverished and uninsured, Get the robot.”
The following one-liners from anonymous respondents moreover tie into the future of health care:
“People could employ a virtual doctor for information and first-level response; so much time could live saved!”
“The merging of data science and AI could profit strategic planning of the future research and progress efforts that should live undertaken by humanity.”
“I see economic efficiencies and advances in preventive medicine and treatment of disease, however, I enact regard there will live plenty of adverse consequences.”
“Data can reduce errors – for instance, in clearly taking into account the side effects of a medicine or employ of multiple medications.”
“Human-machine/AI collaboration will reduce barriers to proper medical treatment through better recordkeeping and preventative measures.”
“AI can hoist over many of the administrative tasks current doctors must do, allowing them more time with patients.”
The future of education: high hopes for advances in adaptive and individualized learning, but some doubt that there will live any significant progress and worry over digital divide
Over the past few decades, experts and amateurs alike maintain predicted the internet would maintain large-scale impacts on education. Many of these hopes maintain not lived up to the hype. Some respondents to this canvassing said the advent of AI could foster those changes. They await to see more options for affordable adaptive and individualized learning solutions, including digital agents or “AI assistants” that drudgery to enhance student-teacher interactions and effectiveness.
Barry Chudakov, founder and principal of Sertain Research and author of “Metalifestream,” commented, “In the learning environment, AI has the potential to finally demolish the retain-to-know learning (and regurgitate) model. Knowing is no longer retaining – machine intelligence does that; it is making significant connections. Connect and assimilate becomes the novel learning model.”
Lou Gross, professor of mathematical ecology and expert in grid computing, spatial optimization and modeling of ecological systems at the University of Tennessee, Knoxville, said, “I see AI as assisting in individualized instruction and training in ways that are currently unavailable or too expensive. There are hosts of school systems around the world that maintain some technology but are using it in very constrained ways. AI employ will provide better adaptive learning and befriend achieve a teacher’s goal of personalizing education based on each student’s progress.”
Guy Levi, chief innovation officer for the center for Educational Technology, based in Israel, wrote, “In the domain of education AI will promote personalization, which almost by definition promotes motivation. The aptitude to gallivant learning forward All the time by a personal AI assistant, which opens the learning to novel paths, is a game changer. The AI assistants will moreover communicate with one another and will orchestrate teamwork and collaboration. The AI assistants will moreover live able to manage diverse methods of learning, such as productive failure, teach-back and other innovating pedagogies.”
Micah Altman, a senior fellow at the Brookings Institution and head scientist in the program on information science at MIT Libraries, wrote, “These technologies will befriend to adjust learning (and other environments) to the needs of each individual by translating language, aiding recollection and providing us feedback on their own emotional and cognitive condition and on the environment. They All necessity adaptation; each of us, practically every day, is at times tired, distracted, fuzzy-headed or nervous, which limits how they learn, how they understand and how they interact with others. AI has the potential to assist us to engage with the world better – even when conditions are not model – and to better understand ourselves.”
Shigeki Goto, Asia-Pacific internet pioneer, Internet Hall of Fame member and a professor of computer science at Waseda University, commented, “AI is already applied to personalized medicine for an individual patient. Similarly, it will live applied to learning or education to realize ‘personalized learning’ or tailored education. They necessity to collect data which covers both of successful learning and failure experiences, because machine learning requires positive and negative data.”
Andreas Kirsch, fellow at Newspeak House, formerly with Google and DeepMind in Zurich and London, wrote, “Higher education outside of ordinary academia will profit further from AI progress and empower more people with access to knowledge and information. For example, question-and-answer systems will improve. Tech similar to Google Translate and WaveNet will lower the barrier of knowledge acquisition for non-English speakers. At the same time, child labor will live reduced because robots will live able to perform the tasks far cheaper and faster, forcing governments in Asia to find true solutions.”
Kristin Jenkins, executive director of BioQUEST Curriculum Consortium, said, “One of the benefits of this technology is the potential to maintain really effective, responsive education resources. They know that students profit from immediate feedback and the opportunity to rehearse applying novel information repeatedly to enhance mastery. AI systems are consummate for analyzing students’ progress, providing more rehearse where needed and moving on to novel material when students are ready. This allows time with instructors to focus on more-complex learning, including 21st-century skills.”
Mike Meyer, chief information officer at Honolulu Community College, commented, “Adult education availability and relevance will undergo a major transformation. Community colleges will become more directly community centers for both occupational training and greatly expanded optional handsome arts, art, crafts and hobbies. Classes will, by 2030, live predominantly augmented-reality-based, with a full coalesce of physical and virtual students in classes presented in virtual classrooms by national and international universities and organizations. The driving necessity will live expansion of knowledge for personal interest and enjoyment as universal basic income or equity will replace the automated tasks that had provided subsistence jobs in the used system.”
Jennifer Groff, co-founder of the center for Curriculum Redesign, an international non-governmental organization dedicated to redesigning education for the 21st century, wrote, “The repercussion on learning and learning environments has the potential to live one of the most positive future outcomes. Learning is largely intangible and invisible, making it a ‘black box’ – and their tools to capture and support learning to this point maintain been archaic. regard large-scale assessment. Learners necessity tools that befriend them understand where they are in a learning pathway, how they learn best, what they necessity next and so on. We’re only just dawn to employ technology to better reply these questions. AI has the potential to befriend us better understand learning, gain insights into learners at scale and, ultimately, build better learning tools and systems for them. But as a big convivial system, it is moreover prey to the complications of impoverished public policy that ultimately warps and diminishes AI’s potential positive impact.”
Norton Gusky, an education-technology consultant, wrote, “By 2030 most learners will maintain personal profiles that will tap into AI/machine learning. Learning will happen everywhere and at any time. There will live usurp filters that will circumscribe the influence of AI, but ethical considerations will moreover live an issue.”
Cliff Zukin, professor of public policy and political science at Rutgers University’s School of Planning and Public Policy and the Eagleton Institute of Politics, said, “It takes ‘information’ out of the category of a commodity, and more information makes for better decisions and is democratizing. Education, to me, has always been the status leveler, correcting, to some extent, for birth luck and convivial mobility. This will live enjoy Asimov’s ‘Foundation,’ where everyone is plugged into the data-sphere. There is a dismal side (later) but overall a positive.”
However, some await that there will live a continuing digital divide in education, with the privileged having more access to advanced tools and more capacity for using them well, while the less-privileged lag behind.
Henning Schulzrinne, co-chair of the Internet Technical Committee of the IEEE Communications Society, professor at Columbia University and Internet Hall of Fame member, said, “Human-mediated education will become a luxury good. Some high school- and college-level teaching will live conducted partially by video and AI-graded assignments, using similar platforms to the MOOC [massive open online courses] models today, with no human involvement, to deal with increasing costs for education (‘robo-TA’).”
Huge segments of society will live left behind or excluded completely from the benefits of digital advances – many persons in underserved communities as well as others who are socio-economically challenged.Joe Whittaker
Joe Whittaker, a former professor of sciences and associate director of the NASA GESTAR program, now associate provost at Jackson condition University, responded, “Huge segments of society will live left behind or excluded completely from the benefits of digital advances – many persons in underserved communities as well as others who are socio-economically challenged. This is due to the fact that these persons will live under-prepared generally, with shrimp or no digital training or knowledge base. They rarely maintain access to the relatively ubiquitous internet, except when at school or in the workplace. Clearly, the children of these persons will live greatly disadvantaged.”
Some witnesses of technology’s evolution over the past few decades feel that its most-positive potential has been disappointingly delayed. After witnessing the slower-than-expected progress of tech’s repercussion on public education since the 1990s, they are less hopeful than others.
Ed Lyell, longtime educational technologies expert and professor at Adams condition University, said education has been held back to this point by the tyranny of the status quo. He wrote, “By 2030, lifelong learning will become more widespread for All ages. The tools already exist, including Khan Academy and YouTube. They don’t maintain to know as much, just how to find information when they want it. They will maintain on-demand, 24/7 ‘schooling.’ This will design going to sit-down classroom schools more and more a hindrance to their learning. The biggest negative will live from those protecting current, status-quo education including teachers/faculty, school boards and college administrators. They are protecting their paycheck- or ego-based role. They will necessity training, counseling and befriend to embrace the existing and forthcoming change as generous for All learners. partake of the problem now is that they enact not want to admit the reality of how current schools are today. Some enact a generous job, yet these are mostly serving already smarter, higher-income communities. Parents fight to maintain their children maintain a school enjoy they experienced, forgetting how inefficient and often useless it was. AI can befriend customize curricula to each learner and guide/monitor their journey through multiple learning activities, including some existing schools, on-the-job learning, competency-based learning, internships and such. You can already learn much more, and more efficiently, using online resources than almost All of the classes I took in my public schooling and college, All the artery through getting a Ph.D.”
A consultant and analyst moreover said that advances in education maintain been held back by entrenched interests in legacy education systems, writing, “The employ of technology in education is minimal today due to the being and persistence of the classroom-in-a-school model. As they maintain seen over the terminal 30 years, the application of simulated intelligence in the domain of man/machine interface has grown in many unexpected directions. Who would maintain thought back in the late 1970s that the breadth of today’s online (i.e., internet) capabilities could emerged? I believe they are just seeing the dawn of the benefits of the man/machine interface for mankind. The institutionalized education model must live eliminated to allow education of each and every individual to grow. The human brain can live ‘educated’ 24 hours a day by smart ‘educators’ who may not even live human in the future. Access to information is no longer a barrier as it was 50 years ago. The next step now is to remove the barrier of structured human delivery of learning in the classroom.”
Brock Hinzmann, a confederate in the commerce Futures Network who worked for 40 years as a futures researcher at SRI International, was hopeful in his comments but moreover issued a solemn warning. He wrote: “Most of the improvements in the technologies they muster AI will involve machine learning from broad data to improve the efficiency of systems, which will improve the economy and wealth. It will improve emotion and end recognition, augment human senses and improve overall satisfaction in human-computer interfaces. There will moreover live abuses in monitoring personal data and emotions and in controlling human behavior, which they necessity to recognize early and thwart. smart machines will recognize patterns that lead to materiel failures or flaws in final products and live able to revise a condition or shut down and pinpoint the problem. Autonomous vehicles will live able to dissect data from other vehicles and sensors in the roads or on the people nearby to recognize changing conditions and avoid accidents. In education and training, AI learning systems will recognize learning preferences, styles and progress of individuals and befriend direct them toward a personally satisfying outcome.
“However, governments or pious organizations may monitor emotions and activities using AI to direct them to ‘feel’ a inescapable way, to monitor them and to correct them if their emotional responses at work, in education or in public enact not conform to some norm. Education could become indoctrination; democracy could become autocracy or theocracy.”
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Strategic Marketing 7.7% Operations Management 4.6% Strategic Planning 3.7% Electrical or Electronics Engineer Instrument Control 6.4% Engineering Design, Semiconductor 6.2% AutoCAD MEP 5.9% Elementary or Middle School Teacher Spanish Language 3.4% Curriculum Planning 1.9% Childhood Education 1.3% Engineering Technician C (programming language) 14.1% Industrial Hydraulics 10.3% Distributed Control Systems 9.7% Environmental Engineer Title V Permitting 14.6% Windows Operating System general employ 2.4% Project Management 2.4% Environmental Scientist / Geoscientist Data Modeling 3.7% Regulatory Compliance 2.3% Project Management 2.3% Farmer / Rancher / Agricultural Manager Budget Management 13.2% Operations Management 8.6% Machine Operation 0.6% pecuniary Analyst / Advisor Valuation 9.0% Due Diligence 8.7% Market Research 8.1% pecuniary Examiner pecuniary Applications 7.8% Anti-Money Laundering 6.4% Microsoft Word 3.7% pecuniary Manager commerce Strategy 14.0% Sarbanes-Oxley Compliance Audit 13.1% Sarbanes-Oxley knowledge 10.4% First-Line Supervisor of Office and Administrative support Workers Facility Maintenance & Coordination 15.8% Process Improvement 15.7% shrink Management 12.1% First-Line Supervisor of Sales Workers Profit & Loss Statements 12.3% Budget Management 6.8% Human Resources 6.6% general or Operations Manager domain Sales 18.2% Mergers and Acquisitions 16.0% Tax Consulting 14.0% Health Practitioner support Technologist or Technician Oncology 8.1% Open Heart 5.7% Long-Term supervision 4.3% Occupation Top 3 Skills/Specialties Pay Boost Health Teacher (Postsecondary) captious supervision 5.2% Emergency margin 3.2% Clinical Education 2.6% Human Resources Manager Strategy 11.0% Change Management 10.8% Applicant Tracking System 9.0% Human Resources Worker Legal Compliance 14.7% Payroll Tax Compliance 10.5% Strategic Planning 9.7% Industrial Engineer Chemical Process Engineering 17.0% Linux 8.3% Operations Management 6.6% Industrial Production Manager Six Sigma Black Belt 11.3% Six Sigma Green Belt 8.7% Engineering Design 7.9% Instructional Coordinator Design 3.6% Training Program progress 2.5% Articulate – E-Learning Software 2.4% Insurance Sales Agent domain Sales 14.3% Leadership 6.1% Account Sales 2.6% attorney or Judicial Law Clerk Mergers and Acquisitions 23.8% Corporate 15.7% Tax Compliance 9.8% Librarian Legal Research 10.5% Budget Management 3.9% Operations Management 1.6% Licensed Practical or Licensed Vocational Nurse Nursery 6.8% Triage 5.3% Intensive supervision Unit 4.1% Logistician Project Management 6.5% Logistics support Analysis 6.0% SAP Enterprise Resource Planning 5.7% Management Analyst broad Data Analytics 17.7% Mergers and Acquisitions 16.7% Strategy 15.6% Market Research Analyst or Marketing Specialist pecuniary Modeling 28.2% R (programming language) 16.5% Tableau Software 13.6 Marketing or Sales Manager Software as a Service 11.8% Marketo 11.7% Vendor Management 10.3% Materials Engineer Robotic Welding 4.2% Manufacturing Process Engineering 3.7% Material Science 3.4% Mechanical Engineer SCADA 6.1% SQL 5.5% Simulation 5.4% Medical or Health Services Manager commerce progress 12.2% Six Sigma Black Belt 9.3% Surgery 9.2% Medical Records and Health Information Technician Microsoft outstrip 7.3% Data Analysis 5.2% Microsoft Office 4.9% Medical Scientist Oncology 9.1% Molecular Biology 6.1% Generalist Duties 5.8% Medical, Dental, or Ophthalmic Laboratory Technician Wound supervision 2.8% CAD/CAM 1.8% Casting 0.6% Occupation Top 3 Skills/Specialties Pay Boost Meeting, Convention, or Event Planner Strategic Marketing 9.4% Project Management 6.1% Budget Management 6.0% Natural Sciences Manager Engineering Design 8.0% Technical Writing 5.9% Problem Solving 4.0% word Analyst, Reporter or Correspondent pecuniary Reporting 10.6% Video Editing 1.8% convivial Media Optimization 0.7% Nuclear Engineer Project Management 5.6% Engineering Design 3.6% Technical Analysis 2.5% Nurse Anesthetist Obstetrics 9.1% Pediatrics 6.8% Obstetrical Anesthesia 6.2% Nurse Practitioner Emergency margin 6.9% Dermatology 5.3% pang Management 4.1% Occupational Health and Safety Specialist or Technician Risk Management / Risk Control 5.2% Regulatory Compliance 4.7% Microsoft Word 3.8% Operations Research Analyst R (programming language) 11.9% Automation Scripting 10.0% Statistical Analysis System 9.1% Paralegal or Legal helper Prosecution 10.8% Data Analysis 10.7% Concordance Discovery Management Software 10.6% Petroleum Engineer Microsoft outstrip 7.8% Well Production Engineering 6.3% Simulation 4.1% Pharmacist Operations Management 6.4% Oncology 4.0% captious supervision 3.8% Physician helper Emergency Medicine 9.4% Psychiatry 6.5% general Surgery 5.6% Physician or Surgeon Obstetrics 17.8% captious supervision 15.8% Emergency Medicine 12.9% Podiatrist Surgery 7.2% Medicine / Surgery 1.7% Wound supervision 1.6% Property, true Estate, or Community Association Manager pecuniary Analysis 8.6% Negotiation 7.7% Budget Management 6.4% Psychologist Health and Wellness 6.3% pang Management 5.0% Clinical Supervision 3.3% Public Relations or Fundraising Manager Strategic Planning 6.7% Branding 5.0% Corporate Communications 4.5% Purchasing Manager commerce Analysis 10.7% Product progress 10.2% Strategic Planning 8.7% true Estate Broker or Sales Agent Property Management 4.3% Customer Relations 1.5% Leasing Software 1.3% Registered Nurse Trauma Intensive supervision Unit 4.7% Open Heart 4.4% Pediatric Intensive supervision Unit 3.9% Sales Engineer IT Security & Infrastructure 22.2% Cisco Networking 15.5% domain Sales 9.1% Sales Representative (Wholesale and Manufacturing) Strategic Planning 10.1% pecuniary Analysis 10.0% commerce Analysis 8.0% Secondary School Teacher Leadership 3.2% Information Technology support 2.7% Mathematica 1.3% Secretary or Administrative helper Event Management 12.3% Information Technology support 11.9% Benefits Administration 8.7% Securities, Commodities, or pecuniary Services Sales Agent Investment Management 11.2% pecuniary Analysis 5.4% commerce progress 2.8% convivial or Community Service Manager Clinical Supervision 8.4% Budget Management 7.5% Counseling 7.0% Occupation Top 3 Skills/Specialties Pay Boost convivial Worker Utilization Review 18.1% Hospice supervision 14.4% Oncology 9.8% Sociologist Research Analysis 5.5% Legislative Policy 4.4% Policy Analysis 3.5% Software Developer or Programmer Machine Learning 25.2% Scala 21.5% Algorithm progress 18.9% Statistical helper PL/SQL 13.7% pecuniary Modeling 12.3% R (programming language) 11.8% Statistician Data Modeling 7.9% Data Mining / Data Warehouse 5.0% SQL 4.3% Survey Researcher pecuniary Modeling 28.2% R (programming language) 16.5% Tableau Software 13.6% Surveying or Mapping Technician Computer Aided Drafting & Design 5.1% Global Positioning Systems 4.7% AutoCAD 2.9% Surveyor, Cartographer, or Photogrammetrists AutoCAD Civil 3D 4.8% Global Positioning Systems 2.6% Land Surveying 2.5% Tax Examiner, Collector or Preparer, or Revenue Agent Legal Research 9.1% Tax Consulting 3.2% Auditing 3.1% Teacher helper Spanish Language 3.2% Curriculum Planning 1.3% Activities for Children 0.1% Television, Video, or Motion Picture Camera Operator or Editor Adobe InDesign 8.5% Project Management 5.0% Microsoft Office 2.0% Teller Account Sales 11.0% Sales Management 8.6% Operations Management 5.8% Therapist Geriatrics 3.4% Home supervision 3.2% Home Health / Home supervision 2.7% Training and progress Manager Strategic Planning 13.1% Change Management 8.9% Leadership 6.2% Training and progress Specialist Clinical Education 14.4% Project Coordinating 6.8% Leave of Absence Administration 6.6% Transportation, Storage, or Distribution Manager SAP Materials Management 10.1% Risk Management / Risk Control 6.3% Budget Management 5.8% Urban or Regional Planner Project Management 6.5% Adobe InDesign 4.7% lifelike Design 3.7% Veterinarian Anesthesia 5.0% Emergency Medicine 4.3% Phlebotomy 3.7% Writer or Editor Advertising 6.5% Strategic Marketing 5.5% Dreamweaver 5.0%