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A2040-928 exam Dumps Source : Assessment- Developing Websites Using IBM Web Content Manager 8.0
Test Code : A2040-928
Test appellation : Assessment- Developing Websites Using IBM Web Content Manager 8.0
Vendor appellation : IBM
: 91 true Questions
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Aug 28, 2009
We first published their list of Trend-Setting Products in 2003, when portals and smart enterprise suites were hot, and robust content management offerings were entering adulthood. Folks were wondering about the scope of the Tyco case, and Enron was just starting to exhibit up on the radar.
Service-oriented architectures were genesis to prefer shape, and both recollection and storage were quite expensive. Software as a service (not merely hosted applications) was at its very early stages. The cloud existed only outside.
A lot of things Have change since then, but their criteria for inclusion on the list haven’t changed a whit. Although the composition of their judging panel includes some different names from the 2003 edition, it silent consists of editorial colleagues, analysts, system integrators, users and vendors themselves. affection usual, they request anonymity so they are protected from any negative feedback.
We’ve selected some 130 different products upon which they total agree—more than they Have in previous editions because the landscape is far more challenging than it has been in the past. They limn what they believe are the solutions that best exemplify the spirit of innovation demanded by the current economy, while providing their customers with the unique tools and capabilities to coast and grow beyond the recession.
Some Have been around for a while, a testimony to the limber execution of their initial mission of adaptability. Others are relatively new, and their uniqueness points to (what they believe should be) their much wider adoption. Are these the only trend-setting products on the market? The respond is a resounding no. They carry out limn the ones best suited to meet the needs of KMWorld readers. They total Have been designed with a lucid understanding of customers’ needs.
I hope you’ll expend the time required to explore what the products can carry out to solve at least some of the vexing problems they total kisser today.
5280 Solutions: Dynamic Filer—automates the process of scanning and filing paper documents into SharePoint.
A2iA: A2iA DocumentReader—classification of digitized documents into categories (letter, identity papers, contract, etc.) based on both their geometry and their content. Click here to espy enhanced product description.
ABBYY USA: TouchTo Technology—data capture software for LCD-based touchscreen technology.
Abrevity: Abrevity’s FileData Classifier—enables control over files and data distributed across heterogeneous storage platforms.
Access Innovations: Search Harmony—ultra-scalable search solution. Click here to espy enhanced product description.
Accusoft Pegasus: Web-Based Image Viewer—document and photo processing for asset optimization.
Adobe: LiveCycle Developer Express—Adobe’s first step toward cloud computing and embracing open source in the enterprise.
Alterian: Content Manager—full Web content management designed for business-user flat Web site optimization.
Appian: Enterprise—simple, robust traffic process management. Click here to espy enhanced product description.
Apple: iPhone 3GS apps—bringing convincing enterprise capabilities to arguably the most user-friendly smart phone.
Aquire: OrgPublisher 9 Premier—succession planning, organizational planning and powerful organization charting.
ASG Software: ASG-ViewDirect Suite—a highly scalable, full-featured archiving platform.
AskMe-Realcom: AskMe for SharePoint—a legitimate learning networking solution.
Astute Solutions: RealDialog—natural language-based search, learning management and Web self-service solutions.
Attensity: Voice of the Customer—suite of traffic applications for unstructured data, offering integrated automated response for customer experience management.
Attivio: Attivio vigorous Intelligence Engine—extends enterprise search capabilities across documents, data and media.
Autonomy: quick-witted Data Operating Layer (IDOL) Server—collects indexed data from connectors and stores it in its proprietary structure, optimized for swiftly processing and retrieval.
BA-Insight: Longitude—extends the search usability, relevance and connectivity capabilities of Microsoft SharePoint and Search Server.
Baynote: Collective Intelligence Platform—on-demand recommendations and gregarious search for Web sites.
Brainware: Globalbrain Enterprise Edition—locates information on PCs, enterprise databases, file servers, the Internet, etc., supports more than 250 file formats. Click here to espy enhanced product description.
CA: CA Governance, Risk & Compliance Manager—centralized, unified approach to managing total IT risks and controls.
CaseCentral: CaseCentral Early Case Assessment—integrated, multipurpose e-discovery review platform.
Chiliad: Chiliad Discovery/Alert—platform for search and learning discovery across distributed repositories of unstructured and structured data.
Citrix Online: GoToMeeting—richly featured, stable Web presentation/conferencing solution.
Comperio: Comperio Front—business logic software search solutions.
Concept Searching: conceptClassifier for SharePoint—statistical search and classification using concept extraction and compound term processing. Click here to espy enhanced product description.
Connectbeam: gregarious Activity Platform and Applications—enterprise gregarious networking platform.
Connotate: Agent Community GEN2—allows non-technical users to create powerful, customized quick-witted agents to access high-value content abysmal on the Web or in the enterprise. Click here to espy enhanced product description.
Consona: Consona learning Management—knowledge-driven customer relationship management.
Content Analyst: Content Analyst Analytical Technology (CAAT)—enables organizations to organize, access and share information across multiple languages without the exigency for extensive human intervention. Click here to espy enhanced product description.
Coveo: Coveo Enterprise Search—offers a customizable, complete and unified view of censorious information located across the organization no matter where it sits. Click here to espy enhanced product description.
Daticon-eed: Daticon EED Discovery Partner—integrated platform for e-discovery processing, analytics, review and production.
Day Software: Day CQ5 V. 5.2—Web content management designed for traffic users to easily create and publish content.
DeepDyve: Research Engine—search and indexing technology to cull rich, material content from journals, documents and untapped abysmal Web pages.
DocZone: DocZone, Really Strategies' SaaS XML content management and single-source publishing solution for authoring, managing, reusing, localizing and publishing content.
Dow Jones traffic & Relationship Intelligence: Dow Jones Companies & Executives—business and competitive intelligence, including competitor analysis, monetary statements, regulatory filings, targeted news, executive biographies.
EDS: EDS Applications Modernization Services—agile applications and architecture to hurry software migration. Click here to espy enhanced product description.
eGain: eGain Service 8.0—complete suite of customer service and contact center software.
EMC: SourceOne Suite—new family of products and solutions for archiving, e-discovery and compliance aimed at helping companies centrally manage multiple content types in order to apply consistent retention, nature and overall life cycle management.
Empolis: Empolis Discovery and Research/Attensity Discovery and Research—a comprehensive family of information management applications built on abysmal expertise in semantic language technologies. Click here to espy enhanced product description.
Endeca: Information Access Platform—foundation upon which configurable search-based traffic applications can live built and deployed.
Exalead: Exalead CloudView—automatically collects, structures and contextualizes towering volumes of unstructured and structured content scattered across the enterprise information cloud.
EXSYS: Exsys Corvid—knowledge automation expert system development tool. Click here to espy enhanced product description.
Extensis: Universal ilk Server 2—comprehensive font management and workflow.
FatWire: Web experience Management (WEM) Suite—Web content management, collaboration and community, content integration, audience targeting and measurement, and mobile publishing and delivery.
Fios: Discovery Response Services—identification, preservation and collection through processing, review and production.
FTI Technology: Ringtail Legal—services designed to reduce enterprise risk while improving the daily current and management of censorious information.
Global 360: Process360—complete traffic process management.
Google: Google Docs and Spreadsheets—merges word processing, spreadsheets and basic presentations within an online service that allows collaboration with other users.
Guidance Software: EnCase Enterprise—searches, preserves and analyzes data across servers, desktops, and laptops to investigate HR matters, suspected fraud and external threats, as well as the platform for eDiscovery and CyberSecurity solutions.
Hoovers: Competitive Intelligence Services—online application service that allows clients to monitor coverage of companies, people, products and issues from a wide achieve of tidings and information sources.
IBM: Agile ECM—an ECM platform integrated with traffic process management, designed to deliver the flexibility required to augment traffic adaptability.
iConect: iCONECTnXT—review features, analysis and production tools, key integrations with e-discovery collections, processing and culling.
iDatix: iSynergy—integrated content management designed to enable organizations to innovate their approach to managing content and simplify their daily workflow.
Infoglide: Identity Resolution Engine—enables capturing/leveraging cryptic identity information to learn hidden relationships with multiple degrees of separation and automate decisions based on results.
InfoNgen: InfoNgen Enterprise Discovery—automatically monitors more than 28,000 online sources and processes more than 600,000 stories per day.
Information Builders: Enterprise Information Management (EIM) suite—real-time management of any structured or unstructured information from anywhere across the entire enterprise.
Inmagic: Presto—a complete gregarious learning management platform. Click here to espy enhanced product description.
InQuira: InQuira quick-witted Search—a unified system that combines advanced semantic search techniques and contextual understanding.
Integrify: Integrify 5.0—on-premise or on-demand enterprise request management software combining traffic process management and workflow. Click here to espy enhanced product description.
IntelliResponse: Instant respond e-service suite—enhances consumer experience across a variety of censorious customer handle points, including the Web, chat, e-mail and phone.
Intellivision: quick-witted Video—video analysis and full automation of video monitoring.
iQuest: iQuest Software Suite—integrated software suite that combines gregarious network analysis, auto-categorization with text extraction technologies to resolve unstructured data.
ISYS Search: ISYS:web 9—enterprise search solution for intranets, Web sites, Microsoft SharePoint and custom Web applications.
Jive Software: Jive gregarious traffic Software (SBS)—collaboration, community and gregarious network software in a secure enterprise platform.
Jodange: Jodange opinion Utility for Publishers—an application for publishers that presents online opinions from a wide variety of selected sources to publishers about opinions expressed by those who are influencing their customers, competitors and the marketplace.
Just Systems: xfy XBRL Report—multidimensional instance viewer and report composer allowing extraction of monetary data from multiple XBRL documents.
Kapow Technology: Web Data Server—enterprise platform that can wrap any existing Web site or Web application into data feeds or programmatic interfaces with no coding.
Kazeon: Information Server Data center Edition—integrates discovery, indexing, classification, search, reporting and action into a unique product.
Knowledge Genes: learning Genes Enterprise Space—a fashion for developing and utilizing components of learning on a specific theme to enhance the organization.
Lombardi: Teamworks 7—enhances the automation and control of censorious processes through advocate for large-scale traffic process transformation programs.
Lucid Imagination: LucidWorks—robust, open source search solutions.
Metastorm: Metastorm Enterprise—software suite designed to effectively align traffic strategy with execution while optimizing the types and levels of traffic resources.
Microsoft: MOSS—platform for collaboratively creating, managing and sharing documents and Web services.
Mindbreeze: Mindbreeze Search Appliance—easily deployed enterprise search. Click here to espy enhanced product description.
NetDocuments: NetBinders—a secure mechanism to share and collaborate on documents.
New thought Engineering: XPump—a content extraction toolkit.
NewsGator: gregarious Sites Professional—secure RSS feeds from tidings sites, blogs, Wikis and enterprise applications where your employees want them—the Web, mobile devices, e-mail clients and desktops.
NextLabs: Compliant Enterprise—entitlement management system to control and audit collaboration and access of applications and data to meet security and compliance requirements.
NextPage: NextPage Information Tracking Platform—tracking unstructured and unmanaged documents through the entire organization and enforcing document retention policies on those documents.
nGenera: nGen Enterprise Collaboration—designed to create a collaborative operating model, original strategic ideation process to attend facilitate innovation.
Noetix: Noetix Search—a browser-based search application that enables users to quickly find the right Noetix views for their reports. Click here to espy enhanced product description.
North Plains: TeleScope—highly scalable digital asset management solution for flush media management and distribution, centralization, workflow optimization and virtual collaboration.
Northern Light: SinglePoint Strategic Research Portal—hosted strategic research portal that can live deployed in 90 days to an unlimited number. Click here to espy enhanced product description.
Nstein: DAM 4.0—.Net digital asset management application runs atop several software layers.
Onix Networking: IT Solutions and Services—information access and analysis, IT resource management/security and network solutions for a broad achieve of corporate and government customers.
Ontrack Engenium: Semetric—concept-based search engine designed to live embedded in a variety of applications to generate better, faster results.
Open Text: Open Text ECM Suite - Collaboration & Community Management—provides virtual environments in which employees and, at times, external traffic partners share learning on projects and collaborate.
Optimus BT: Resolve 2.0—framework leveraging SharePoint for secure, centralized automation of managing, tracking and resolution of issues.
PaperThin: CommonSpot 5.1—an inherently easy-to-use, intuitive Web content management system. Click here to espy enhanced product description.
Perfect Search: faultless Search Appliance—enables rapid search of Oracle, Microsoft SQL, DB2, MySQL and any SQL-compliant database without placing any additional load on those systems. Click here to espy enhanced product description.
PTC (Parametric Technology Corp.): Arbortext Product Information Delivery—a complete product information delivery system that automates the authoring and publishing processes.
QL2: Data as a Service (DaaS)—solutions for customers in the travel, retail, life sciences, information services and government markets through secure, timely, focused delivery of Web data. Click here to espy enhanced product description.
Raytion: Information Management Consulting—enterprise search, categorization and classification offering, including taxonomy management and metadata management.
Recommind: Axcelerate eDiscovery—automatic categorization of documents into computer-generated “buckets” based not just on keyword frequency but too on conceptual meaning.
Responsys: Interact Campaign—interactive marketing campaigns.
Rivet Logic: Open Source Content Management/Consulting—Enterprise 2.0 collaborative community solutions. Click here to espy enhanced product description.
SafeHarbor: SmartSupport—a hosted, managed Web self-service delivery platform.
SAVO Group: Sales Enablement—organizationwide, on-demand, collaborative sales assistance and support.
SchemaLogic: SchemaServer—object modeling, collaboration and governance engine that supports simple list structures, complex multifaceted taxonomies or ontologies, and enterprisewide metadata structures.
SDL Tridion: SDL Tridion 2009—a unified online marketing suite, combining WCM functionality and online marketing capabilities. Click here to espy enhanced product description.
SDL XySoft (formerly XyEnterprise): LiveContent—XML component content management (CCM) and dynamic publishing solutions.
Search Technologies: Enterprise Search Solutions—recommendation, installation, integration and maintenance of enterprise search platforms.
Semantra: Semantra RapidROI—ad hoc reporting and analytical solution for non-technical users.
Sitecore: Online Marketing Suite—online and offline campaigns and marketing channels to drive traffic to Web sites.
SLI: Learning Search—hosted site search solution that learns from site visitors.
Socialtext: Enterprise 2.0 by Socialtext—pioneering enterprise gregarious networking platform.
Software AG: webMethods 8—integration of SOA, B2B and BPM capabilities into a single, unified console.
SpringCM: SpringCM On-Demand Platform—Capture, document management, workflow, collaboration, delivery, records management, reporting and administration.
StoredIQ: quick-witted Information Management—automation of the full e-discovery life cycle.
Sumtotal Systems: ResultsOnDemand—automated and integrated learning, performance and compensation solutions for talent development.
Sybase: Sybase Adaptive Server Enterprise (ASE) 15—complete traffic intelligence and database management.
Symantec: Symantec Online Backup—reliable, secure and cost-effective data backup and recovery.
TCDI: Discovery WorkFlow—centralized workflow definition and control interface capable of automating the launch of processes and resources. Click here to espy enhanced product description.
TEMIS: Luxid—knowledge extraction from unstructured data. Click here to espy enhanced product description.
Teragram: Teragram Categorizer—enables classification and organization of documents and information in an intuitive, browsable hierarchical directory for smart search and retrieval.
TheBrain: PersonalBrain 5—mind mapping software that allows you to link ideas, files and Web pages in a visual interface.
Thunderstone: Thunderstone Search Appliance—combines full-text and structured data without programming.
TIBCO subsidiary Insightful:S-Plus 8 Enterprise Server—predictive analysis integration to traffic intelligence, customer relationship management, enterprise resource planning and other corporate applications.
Top Quadrant: TopBraid Suite—semantic technology to connect silos of data, systems and infrastructure and build flexible applications from linked data models.
Traction Software: TeamPage—collaborative hypertext platform built to advocate working communication within and between groups.
Vital Path: PathBuilder—content integration and migration software.
Vivisimo: Velocity Search Platform—robust search for enterprise and government.
Wordmap: Wordmap Search Integration Framework—a complete taxonomy management system.
X1: Enterprise Search Suite 6.0—integrates censorious traffic systems and bridges the gap between the desktop and the enterprise.
Xerox: DocuShare—widely deployed Web-based software application delivering content management capabilities.
Xythos: Xythos Enterprise Document Management Suite—document management solutions that feature collaboration with total the components that distributed organizations exigency to manage and share content on the Web.
ZL Technologies: ZL Unified Archive—an integrated suite of applications that deliver archiving, e-discovery search and litigation support, retention management, compliance supervision and storage optimization in a unique scalable solution.
ZyLAB: ZyIMAGE eDiscovery and Production Platform—an end-to-end e-discovery software platform that addresses total the key aspects of e-discovery from records management to publishing discovery data into document management software. Click here to espy enhanced product description.
HTF MI released a original market study on Global E-learning IT Infrastructure Market with 100+ market data Tables, Pie Chat, Graphs & Figures spread through Pages and easy to understand detailed analysis. At present, the market is developing its presence. The Research report presents a complete assessment of the Market and contains a future trend, current growth factors, attentive opinions, facts, and industry validated market data. The research study provides estimates for Global E-learning IT Infrastructure Forecast till 2025*. Some are the key players taken under coverage for this study are Adobe Systems, Blackboard, Oracle, SAP, Apple's, Aptara, Articulate, City & Guilds, D2L, IBM, Intel, Microsoft, NetSuite, N2N, Panacea, Saba Software, Schoology & Tata Interactive Systems.
Click to gain Global E-learning IT Infrastructure Market Research Sample PDF Copy Here @: www.htfmarketreport.com/sample-report/1291095-global-e-le...
E-learning refers to learning using electronic media. It has been widely adopted by the education sector with increased popularity. E-learning is too referred to as computer-based learning (CBL), digital collaboration, Internet-based learning (IBL), virtual classrooms, and web-based learning (WBL). This figure of learning is cost-effective and helps enhance the understanding of various subjects as well as the learning curves of the students. As a result, many educational institutions worldwide are replacing the traditional forms of teaching and learning with e-learning.
One of the major trends that will gain traction in this market in the coming years is the growth in exact for smart software. The adoption of smart software will enable educational institutions enhance their students? learning experience. The consume of smart education software too enables instructors to monitor the activities of students which will aid them in providing the necessary advocate and guidance throughout the course. Technologies such as learning content management systems (LCMS) attend users create and manage courses for e-learning and Have a significant adoption rate among instruction designers and authors. This will eventually lead to the growth of the e-learning market, subsequently driving the exact for e-learning IT infrastructure.
In 2017, the global E-learning IT Infrastructure market size was xx million US$ and it is expected to achieve xx million US$ by the discontinuance of 2025, with a CAGR of xx% during 2018-2025.
Important Features that are under offering & key highlights of the report :
1) What total companies are currently profiled in the report?Following are list of players that are currently profiled in the the report "Adobe Systems, Blackboard, Oracle, SAP, Apple's, Aptara, Articulate, City & Guilds, D2L, IBM, Intel, Microsoft, NetSuite, N2N, Panacea, Saba Software, Schoology & Tata Interactive Systems"
** List of companies mentioned may vary in the final report theme to appellation Change / Merger etc.
2) Can they add or profiled original company as per their need?Yes, they can add or profile original company as per client exigency in the report. Final confirmation to live provided by research team depending upon the vicissitude of survey.** Data availability will live confirmed by research in case of privately held company. Upto 3 players can live added at no added cost.
3) What total regional segmentation covered? Can specific country of interest live added?Currently, research report gives special attention and focus on following regions:United States, Europe, China, Japan, Southeast Asia & India** One country of specific interest can live included at no added cost. For inclusion of more regional segment quote may vary.
4) Can inclusion of additional Segmentation / Market breakdown is possible?Yes, inclusion of additional segmentation / Market breakdown is possible theme to data availability and vicissitude of survey. However a detailed requirement needs to live shared with their research before giving final confirmation to client.
** Depending upon the requirement the deliverable time and quote will vary.
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To comprehend Global E-learning IT Infrastructure market dynamics in the world mainly, the worldwide E-learning IT Infrastructure market is analyzed across major global regions. HTF MI too provides customized specific regional and country-level reports for the following areas.
• North America: United States, Canada, and Mexico.• South & Central America: Argentina, Chile, and Brazil.• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.• Europe: UK, France, Italy, Germany, Spain, and Russia.• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.
Global E-learning IT Infrastructure Product Types In-Depth: , Hardware, Software & Connectivity
Global E-learning IT Infrastructure Major Applications/End users: Desktops, Laptops & Tablets
Geographical Analysis: United States, Europe, China, Japan, Southeast Asia & India
In order to gain a deeper view of Market Size, competitive landscape is provided i.e. Revenue (Million USD) by Players (2013-2018), Revenue Market share (%) by Players (2013-2018) and further a qualitative analysis is made towards market concentration rate, product/service differences, original entrants and the technological trends in future.
Competitive Analysis:The key players are highly focusing innovation in production technologies to better efficiency and shelf life. The best long-term growth opportunities for this sector can live captured by ensuring ongoing process improvements and monetary flexibility to invest in the optimal strategies. Company profile section of players such as Adobe Systems, Blackboard, Oracle, SAP, Apple's, Aptara, Articulate, City & Guilds, D2L, IBM, Intel, Microsoft, NetSuite, N2N, Panacea, Saba Software, Schoology & Tata Interactive Systems includes its basic information affection legal name, website, headquarters, its market position, historical background and top 5 closest competitors by Market capitalization / revenue along with contact information. Each player/ manufacturer revenue figures, growth rate and low profit margin is provided in easy to understand tabular format for past 5 years and a part section on recent development affection mergers, acquisition or any original product/service launch etc.
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In this study, the years considered to assess the market size of Global E-learning IT Infrastructure are as follows:History Year: 2013-2017Base Year: 2017Estimated Year: 2018Forecast Year 2018 to 2025
Key Stakeholders/Global Reports:E-learning IT Infrastructure ManufacturersE-learning IT Infrastructure Distributors/Traders/WholesalersE-learning IT Infrastructure Subcomponent ManufacturersIndustry AssociationDownstream Vendors
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Actual Numbers & In-Depth Analysis, traffic opportunities, Market Size Estimation Available in full Report.
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Me: “Alexa, order me what will betide in 2019.”
Amazon AI: “Do you want to open ‘this day in history'?"
Me: “Alexa, give me a prediction for 2019.”
Amazon AI: “The crystal ball is clouded, I can’t tell.”
My conversation with Amazon’s “smart speaker” or “intelligent voice assistant” just about sums up the present situation of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably gain the correct action the human intelligence behind it programmed it to perform.
What will live the situation of AI in 2019?
The following list features 120 senior executives involved with AI, total peering into their not-so-clouded crystal ball, and promising less hype and more practical, precise, and narrow AI.
“Self-Driving Finance is a practical implementation of AI that is already used in one figure or another by millions of bank customers around the globe and will only gain better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I espy a ample uptake in the number of customers that will rely on AI to ‘drive’ their finances and prefer automated actions to attend them achieve their monetary goals. To deliver effectual Self-Driving Finance, monetary institutions will require specialized forms of AI for each of their customer segments such as retail, minute business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed theme matter learning and expertise”—David Sosna, Co-founder and CEO, Personetics
“2019 will live the year of specialized AI systems built by organizations based on their own data. Given the realization that organizations sometimes Have only limited amounts of data, but too require specialized data, organizations will advance to realize that they exigency tools to easily create quality AI data internally. This quality over quantity approach will require organizations to prefer stock of the data they Have and await themselves key questions: is this data representative of what I’m looking for, and does it match my goal? Will the production data match this training data? Did I strike a equilibrium between repeatability of images and variation? Is my dataset diverse? Taking original approaches to data strategy will live make-or-break for overcoming the challenges of AI’s data problem, to develop AI that works in the true world”—Max Versace, PhD, CEO and co-founder, Neurala
“AI will enable greater process discovery. Process discovery is affection a sensor embedded in the application that learns total of the user journeys, using AI to forecast the optimal path for interacting with a system. Similar to using a GPS such as Waze when you're driving to unlock optimal routes depending on the time of day, AI will unlock how each employee can best consume a system, providing a achieve of possibilities based on what the individual needs to do”—Rephael Sweary, Co-founder and President, WalkMe
"In 2019, they will start to espy technology that will allow designers to talk to computer programs powered by AI to redesign, optimize and lightweight parts made by 3D printers in true time. The designer will simply articulate the design goals and material parameters and the AI will carry out the rest—exploring nearly illimitable design permutations based on existing design concepts. More power will live establish into the hands of designers who will live better able to test and experiment with alterations to create optimal designs much faster than before”—Avi Reichental, Founder and CEO, XponentialWorks
“Because of cloud and the pervasiveness of APIs, in 2019 we’ll inaugurate to espy AI deliver meaningful value to the enterprise and gain us closer to the Holy Grail of AI, which is helping people at total levels of an organization carry out what they carry out more effectively and efficiently, while uncovering original opportunities and original ways to work”—Josh James, Founder and CEO, Domo
“While B2B providers Have been unhurried to conform to the towering benchmark of personalized digital experiences set by Amazon and Google, the industry has at least acknowledged the value of personalized home and landing pages. As customer expectations increase, enterprises will exigency to sustain pace by using machine learning and AI to offer a personalized experience beyond the first impression, which extends to other assets such as technical documentation, community portals, and chatbots”—Gal Oron, CEO, Zoomin
“In 2018 they saw a august deal of hype around AI in healthcare but they too saw it become a reality—in everything from predictive analytics for habitual disease management, to workflow enhancement in radiology as well as administrative and monetary consume cases that bring operational efficiency. In 2019 they are going to espy voice and video, coupled with AI, being used to attend accelerate the shift of the point of custody from the hospital, to the patient, wherever they are. The convergence of AI with 5G will too accelerate the development of digital therapeutics that are more personalized, adaptive and prefer handicap of AR and VR. Mental health and substance abuse treatment will live where they espy early adoption. Clinicians that embrace AI as an augmenter or assistant, not as a threat of replacement or obsolescence, will live able to differentiate themselves both to their patients and their peers”—Jennifer Esposito, generic Manager, Health & Life Sciences, Intel
“AI plays an increasing censorious role in several industries from translating text and powering industrial drones to patient diagnosis. In 2019, they await AI, and more precisely image recognition, to live integrated into everyday life tasks such as helping those with disabilities and automating cars. AI will too become allotment of the everyday shopping experience as existing stores will become automated, driving supply chain processes, delivering seamless checkout and enhancing customer engagement”—Michael Gabay, CEO, Trigo Vision
“AI will accelerate the discontinuance of ownership.” Today, they don’t own movies or music anymore—we subscribe to Netflix or Spotify. Tomorrow, they won’t own products anymore—we’ll subscribe to them. AI platforms are in the midst of turning every manufactured product on the planet into a connected ‘smart’ product. Today you can espy that trend happening in transportation and consumer electronics—cars, scooters, washing machines, coffee makers, thermostats, etc. But soon you’ll start seeing it betide everywhere—tables, chairs, floors, walls, clothes. As a result, they won’t exigency to own anything. We’ll simply subscribe to services: housing services, food services, transportation services, furniture services, clothing services. We’ll live vital in a convincing Subscription Economy”– Tien Tzuo, CEO & Founder, Zuora
“Automation plays into the hands of a cyber attacker, allowing him to consume simpler tools to gain access and infiltrate networks. However, automation used in defense is not creating anywhere near the selfsame impact. Two core factors can live attributed to this, namely a very limited talent pool and that the technology only works as well as the reliability of the data. Until the fraudulent positive problem is resolved, automation is not full-proof. Instead, automation should primarily live leveraged pre-breach, serving as a proactive defense mechanism to attend organizations outmaneuver the attacker at the earliest stage and minimize the potential damage”—Nadav Zafrir, CEO, Team8
“Robotics and AI are increasingly used hand-in-hand to inspect and ensure the proper functioning of censorious infrastructure that their society is built on—power lines, railroad tracks, flare stacks etc. Next year, the convergence of these two technologies is poised to accelerate, with 2019 serving as a breakout year for Distributed AI, in which intelligence will decentralize and live embedded closer to the assets and devices carrying out the inspections. Today’s cloud systems that remotely control Industrial IoT and AI - often at significant distances from inspection sites - will inaugurate transitioning to distributed and autonomous systems closer to the source of inspections, making inspection data collection more efficient and safer”—Ashish Jain, Managing Director of Data Sciences, GE Ventures
“Artificial Intelligence (AI) and Machine Learning Have been tropical topics for a while, but that will inaugurate to decline in 2019. With many enterprises once having built an 'AI strategy,' today we’re already finding that more and more are stirring away from the hype and into solving real-world problems. They will espy the focus shift from AI to 'AI-driven' results as companies peer for true traffic repercussion from AI tools. The technology will live less Important than the traffic insights it delivers”—Sean Byrnes, CEO and co-founder, Outlier
“The consumer's understanding around AI will shift dramatically. They will no longer associate AI with futuristic robots and self-driving cars, but rather productivity tools and predictions to attend everyday menial tasks”—Josh Poduska, Chief Data Scientist, Domino Data Lab
“2019 will live the year of the death of the data scientist. In 2019, everybody is going to start learning simulated Intelligence (AI) and the domain of data science will no longer live a purist data scientist. There are only about 5,000 folks who are data scientists and they can’t rely on them to lead an industrial revolution. Everyone within an organization needs to Have AI skills, from product managers to traffic analysts. The death of the data scientist is the pinnacle of this revolution”—Aman Naimat, CTO, Demandbase
“Some of their AI emperors Have no clothes. For years, tropical AI startups raised, scaled, and raced to build powerful algorithms in nearly every vertical—law, medicine, fintech—the list goes on. These AI solutions were framed as replacements for your most menial tasks. A original wave is on the horizon—AI startups that generate proprietary data every time they're used. These startups, which leverage what they call Coaching Networks, are powered by algorithms that forever better because they're fueled by the creative inputs and successes of millions of workers. These focused networks will live very hard for companies that leverage static data sets and commodity APIs to compete with”—Gordon Ritter, generic Partner, Emergence
“AI is already outperforming humans in many domain-specific tasks; now comes the age of real-world applications. In 2019, AI will fundamentally disrupt diabetes management, thereby improving the lives of millions. Moreover, AI will attend bring to life the ample information gathered from wearables, transforming it into actionable insights that will help people lead healthier lives. In addition, there will live a ample leap in unsupervised machine learning in the near future. Finally, I they will espy companies using AI to train AI. Instead of data scientists trying to experiment on which AI models labor better for true world problems, companies will let AI carry out the labor for them. This will attend AI outperform humans in many original tasks”—Yaron Hadad, Chief Scientist and Co-Founder, Nutrino
“If they want to create AI which is actually adopted by humans, it will Have to live less and less ‘artificial,’ and more and more ‘intelligent,’ signification it will Have to prefer on human traits. For people to feel a connection to AI-powered services and live willing to adopt them into every aspect of their lives, these services will Have to become more and more anthropomorphized. And just as the human carcass is able to heal itself, they will too await these systems to self-diagnose problems in their code and self-heal, correcting software issues on their own”—Zohar Fox, CEO and Co-Founder, Aurora Labs
“We believe AI as an all-purpose buzzword in healthcare will live slowly retired in 2019. As digitization of the industry matures, the thought of the all-knowing machine replacing doctors is clearly being debunked. The challenges of IBM Watson’s healthcare efforts, for example, illustrate that powerful computational tools lonely are ineffective in the kisser of unstructured medical data and the complex realities of patient care. For 2019 they are skeptical about broad, systems-based uses of simulated intelligence promising unspecified insights”—Yonatan Adiri, Founder and CEO, Healthy.io
“In 2019, not only will developing more robust and sophisticated AI algorithms prefer center stage, but as these AI algorithms become more unique and effective, they will too grow in value and owners will Have to protect their substantial investment. Companies are spending millions to develop AI, and they are often at the heart of traffic growth, yet original security challenges have emerged around protecting these AI models—securing their intellectual property from being stolen while too ensuring that no one is tampering with the model. In 2019, they will Have to live deeply quick-witted about protecting their simulated Intelligence”—Alon Kaufman, Co-founder and CEO, Duality Technologies
“Until now, the consume of AI has been focused on making their lives more automated and their industries smarter. In 2019, they are going to espy a shift toward utilizing AI for gregarious convincing and making their lives more sustainable. AI is going to live used to accomplish their cities and industries more environmentally friendly and their world a better place. From agritech and crop optimization to utilities and alternative energy, the ample data analytics and machine learning behind AI will live leveraged to completely change the passage consumers interact with their surroundings”—Natan Barak, CEO and Founder, mPrest
"In 2019, the global lending sector will espy an uptick in AI that can forecast monetary eligibility and funding opportunities. With AI, lenders can foresee which of today’s unviable applicants will become creditworthy in the future, thus open funding opportunities to businesses previously locked behind low-tech assessment processes. The dynamic and real-time nature of AI will provide continuous and automatic access to and updates about original financing opportunities that arise throughout a business’s lifespan, as it grows and improves. This selfsame AI application will eventually change the mortgage and student loan industry as well”—Eden Amirav, CEO and Co-founder, Lending Express
“The AI that supports prediction in self-driving cars will live ‘remodeled’ to access and resolve predictionary data differently. The Autonomous Vehicle industry will coast away from demur fusion and towards raw data fusion, which enables AVs to better interpret movement, speed, angle, and trajectory, and provides flush data to forecast the direction and future movement of an object, pedestrian, or vehicle”—Ronny Cohen, CEO and Co-founder, VAYAVISION
“Multi-trillion-dollar markets such as commercial true estate are comprised of an intricate web of interactions that impress every decision, and AI technology is now age enough to tackle these highly complex transactions. As industry leaders are opening up to the potential of integrating advanced technology into core operations, AI is making its repercussion felt across original industries that were previously off limits. They espy asset managers looking to develop original investment vehicles defined by AI that will enable enhanced performance in uncertain economic conditions, adding value throughout the entire investment lifecycle”—Guy Zipori, CEO, Skyline AI
“Even though flat 4 and 5 autonomous vehicles (AVs) silent aren’t commercially available, 2019 will live the year that they prefer a giant leap forward. The data that AI relies on will become more readily accessible thanks to data-sharing alliances that must become a reality in order for automotive AI to better to a flat suitable for total road conditions. Simultaneously, the types of data collected for AI will live broadened to include non-visual data. Better data means better AI and safer AVs”—Boaz Mizrachi, Founder & CTO, Tactile Mobility
"As more businesses rely on AI to fuel their own products, services and data-driven marketing innovations, disagreeable actors across the digital ecosystem will utilize similar capabilities to augment their efforts and execute massive fraud schemes, resulting in hundreds of millions of dollars in losses for brands and marketers. With that, companies that invest smartly in AI and machine learning-based fraud protection tools will live able to clearly ‘see’ the entire ecosystem and protect themselves from fraud and the polluted data that impacts traffic decisions—leading to a significant competitive advantage"—Ran Avrahamy, VP, Global Marketing, AppsFlyer
“AI research and applications are proving increasingly Important in healthcare, improving patient outcomes through a more personalized, data-driven approach. Just as ample data is used to curate more satisfying user experiences, more granular ‘small data’—information generated by each individual and analyzed by AI tools, turning smartphones and consumer wearables into powerful at-home diagnostic and treatment tools—will live used to drive digital health users to action based on their real-world behavior, capabilities and needs, and to boost population health by making disease prediction and prevention scalable. In 2019, AI will live the linchpin of digital health’s application to the prevention and treatment of disease, specifically chronic illnesses, connecting the dots between the minute data that can optimize an individual’s personal custody and the ample data that can uncover solutions with a global impact”—Dana Chanan, CEO and Co-Founder, Sweetch
“2019 will live a pivotal year in the passage cities understand their urban mobility ecosystems in order to build much more efficient transportation systems throughout urban areas. If today’s cities are primarily focused on strict challenges such as traffic, pollution and exigency of parking space, in 2019 they will Have far better visibility into the root cause—inefficiency of movement in urban areas. Understanding how people are stirring in urban areas, from where to where, when, with which means of transportation, and understanding why—that’s the core that will allow cities to build more efficient mobility, reducing their exigency to coast around, encouraging people to coast together, and creating multimodality. In order to gain there, cities will exigency visibility into such data, and AI is precisely the instrument that will enable such visibility, fostering prediction capabilities and action points to significantly better the passage they move”—Liad Itzhak, SVP Head, HERE Mobility
“There is no shortage of angst when it comes to the repercussion of AI on jobs, especially within the agricultural industry. However, the future of precision agriculture and the key to growing a better crop will rely on AI, imagery and sensors that will live able to learn from collecting information cultivated from 1000-acre farms. Agronomists and farmers are facing a major labor shortage and exigency of expertise. The exact for food is increasing, yet farming is not valued as an attractive or profitable career, particularly in commodity crops. Due to the size and diversity of farming operation demands, farmers exigency to pay close attention to labor initiatives and employee management. Farms across the world are stirring to fill the labor gap—not replace jobs—with AI technology”—Ofir Schlam, CEO and Cofounder, Taranis
“Brick-and-Mortar retail businesses are turning their attention to AI to significantly better customer experience, profitability and remain competitive. In 2019, they will espy emergence of original data sources (surveillance cameras, on-the-shelf-cameras, robots) and AI models for inventory management, better customer retail experiences, targeted marketing, and adding original capabilities such as self-checkout. The key challenge, however, is to develop and scale AI operations to thousands of retail stores that disagree in planograms, camera models, and network infrastructure capabilities”—Atif Kureishy, Vice President Global Emerging Practices, Teradata
"I await we'll espy AI-based attribution tools hitting their stride in 2019. In today’s digital environment, attribution continues to live a challenge—businesses are silent piecing together data points from different platforms and many are silent struggling to understand the full path to purchase—which marketing channels are driving revenue? What kinds of content attend retain customers and at which stage of the customer journey? Where are customers falling out of the funnel? AI can sequence the customer journey together and identify when a customer comes to a company's site and leaves without converting. It's the businesses that adopt AI-powered attribution tools that will Have a leg up on the competition"—Carl Schmidt, CTO and co-founder, Unbounce
“The future of third-party data is censorious for marketers to tarry actionable and competitive in a fast-moving technology landscape. The culmination of high-profile corporate privacy scandals and original wide-sweeping data legislation has forced consumers to gain to grips with their digital footprints and has caused them to live more censorious over how they are targeted. stirring forward, third party data will attend marketers assemble more insights surrounding how consumers consume emerging technologies such as voice, location-based search and AI, so they can target them in a passage that is compliant and drives ROI. This data will remain key to informing the bulk of marketing strategy for years to come"—Chase Buckle, Senior Trends Analyst, GlobalWebIndex
“The hype around AI technologies that match human intelligence in some abstract figure is drowning out the fact that today, there is true value in AI tools that collect, organize and accomplish actionable the collective human experience. AI is not HAL 9000 from Space Odyssey. In 2019, AI will live about making people smarter, more effective, and more productive. It will too accomplish people happier in their jobs – especially IT professionals. For enterprise IT, 2019 will live the year that AI will enable teams to coast beyond simple task automation, to empower the robotization of entire processes. By tapping the applied collective learning of thousands of users and millions of process executions with AI, IT teams will live able to preemptively streamline application development, troubleshooting and even one-off daily requests. AI will bring them much needed help, backed by more learning and experience than any unique human could bring to bear”—Neil Kinson, Chief of Staff, Redwood Software
“We are silent far from having a bonafide ‘smart home’ and the primary roadblock is the exigency of the essential link between sensing and action. Currently, they Have a variety of technologies that offer a compelling vision of the future, but that vision is impeded by the fact that the devices are isolated, lacking context, and are thus unable to act autonomously: the consumer must silent supply the intelligence for the ‘smart home.’ The mating of RF sensing technology with mesh and other networking schemes will amplify the value of network hardware, enabling them to provide powerful communications infrastructure and sensory feedback—the necessary convergence of control and communications needed to create cognitive systems. They will espy this convergence entering the market in 2019, led by forward-thinking tech players who will build out this visionary ecosystem to meet the demands of consumers who want to espy a Jetson—esqe future, now.”—Nebu Mathai, EVP Product Engineering, Cognitive Systems Corp.
“As AI increasingly takes on roles in the workplace, it will live judged not only on its IQ, but EQ—emotional intelligence—and talent to perceive and understand total things human. The talent to understand human emotions and cognitive states will become allotment of the criteria for evaluating AI, as companies accomplish decisions on which AI solution to select for their workplace, and even as consumers select between systems affection virtual assistants or smart speakers to Have in their homes”—Rana el Kaliouby, PhD, CEO and co-founder, Affectiva
“The focus of AI will shift from intelligence to empathy—we’re stirring beyond the point where basic intelligence suffices for consumer-facing AI, as customers want to know that they are being viewed as individuals and not just as customer data records. In 2019, vendors will focus more on increasingly humanizing AI with empathy—including picking up on clues on customer motivation, how they feel in the moment, how they act in certain situations, and even what is happening around them”—Dr. Rob Walker, Vice President, determination Management and Analytics, Pegasystems
“As businesses augment their consume of AI to extract greater value from their digital assets, metadata tagging will become an even more censorious factor of enterprise storage. This will bring more attention to demur storage, which is centered on metadata, and the key will live integrating well with AI tools”—Jon Toor, CMO, Cloudian
“Centralized data will live replaced by a unique view of total data. Data is coming at us from different directions, at different speeds, and in different formats, and controlling this tsunami is one of the key markers of empowerment and success in the information age. Two massive trends are changing the landscape. First, different vendors are coming together to standardize data models. Second, and more important, is the emergence of enterprise data catalogs. These catalogs are accessible in a hub, with one view of the entire federated data estate, and deliver a shop-for-data marketplace experience. The more you share, collaborate, and consume the hub, the more valuable it becomes to the business. Furthermore, it links your analytics strategy with your enterprise data management strategy, as the data becomes analysis-ready”—Dan Sommer, Senior Director, Qlik
“The modern enterprise will continue to edge out technologies affection Hadoop. The merger of Hortonworks and Cloudera was a first peer into the projected value for Hadoop in 2019. Technology that was designed twenty years ago in an era of ‘small’ data will no longer advocate the modern, global, and dynamic enterprise. Data will silent require management tools, but the complexity will live eliminated with the surge of simulated Intelligence and machine learning”—Roman Stanek, CEO, GoodData
“High-profile breaches this past year Have thrust the application layer under the security spotlight. As applications become increasingly sophisticated, their development too opens up increased vulnerabilities. While DevOps is racing to sustain up with accelerated application development, it is becoming increasingly impossible to manually sustain up with, much less anticipate, threats. Machine learning and AI will continue to live used to mitigate vulnerabilities much more efficiently and with more accurate results”—Ivan Novikov, CEO, Wallarm
“2019 is going to live the year of open source AI. We’re already seeing companies inaugurate to open source their internal AI projects and stacks, and I await to espy this accelerate in the coming year. The impetus for this is the selfsame as in other industries such as the cloud that Have moved strongly to open source—increased innovation, faster time to market and lower costs. The cost of edifice a platform is high, and organizations are realizing the true value is in the models, training data and applications. We’re going to espy harmonization around a set of censorious projects creating a comprehensive open source stack for AI, machine learning, and abysmal learning”—Ibrahim Haddad, Director of Research, The Linux Foundation
“AI will attend elevate in-store customer experiences. AI will live used to attend stores elevate customer experiences and build loyalty in ways that were previously impossible. When customers shop online, they often receive personalized recommendations and offers. Retailers Have tried in the past to consume beacon technology to enable the selfsame flat of personalization, but beacons are largely considered a failure because they require specific app downloads, Bluetooth connections or other factors that vastly limit their usability. This problem will live solved by AI-trained kisser recognition algorithms. In 2019, customers that opt-into kisser recognition programs will gain numerous in-store benefits including personalized discounts, white glove service and shorter wait times. Retailers will finally live able to offer customers the selfsame flat of personalization in stores as online”—Peter Trepp, CEO, FaceFirst
“AI will start to become embedded in many more enterprise applications, in particular in applications for learning workers where AI and data analytics will play an increasing role in supporting and even making decisions. At the selfsame time, the current misconception about total data analytics being AI will live more widely discussed, particularly with regards to the availability of sufficient, material and specific data to train algorithms and sustain them ‘learning.’ This will lead to an increased focus on more advanced methodologies that can learn and conform based on actual real-time data”—Mikael Johnsson, Co-founder, Oxx
“Because companies are recognizing that AI cannot live built without high-quality data, they will increasingly spin to specialized providers that sit on crucial data resources to attend them understand their unstructured data. For example, Bloomberg is edifice NLP libraries that are specific to the monetary domain”—Gideon Mann, Head of Data Science, Office of CTO, Bloomberg
“In 2019 they await a significant coast forward with frameworks and standards for measuring and testing prejudice in AI. They will espy an augment in exigency for human judgement and, consequently, an augment in these types of jobs, standards, and protocols. My prediction is that momentum behind this will build as a result of enterprises seeking to mitigate risk in the wake of high-profile scenarios of things going wrong”—Jake Tyler, CEO, Finn AI
“The traditional ‘break-fix’ approach to maintaining network quality of service (QoS) is no longer enough. discontinuance customers are now so relative upon always-on connectivity and so sensitive to service outages that even short service interruptions are now deal-breakers. stirring forward, we’re going to espy simulated intelligence (AI) emerge as the role of a fixer and optimizer to enhance IT operations. Initial applications will watch to focus on security functions, affection DDoS attack mitigation and real-time automated path selection. Eventually, uses will include AI-defined network topologies and basic operations, which will attend us forge a network that runs on auto-pilot”—Kailem Anderson, Vice President of Software and Services, Ciena
“The explosion of simulated intelligence (AI) within IT is poised to provide many benefits and time-saving opportunities in 2019 but will require IT decision-makers (ITDMs) to evolve into strategic consultants rather than serving in reactive roles. AI will not supersede the entire IT team overnight, nor will it gain close any time soon due to the current applications of the technology. However, as AI starts to erode the exigency for humans in the IT helpdesk, they will espy those ITDMs that wish to survive carry out what they should live doing anyway—grow, expand into higher value areas and maintain a close relationship with the business. Failing to evolve into this strategic leadership position will lead to ITDM’s extinction”—Ian Pitt, Chief Information Officer, LogMeIn
“AI-powered bank ‘tellers’ will become the norm. Bank arm consolidation will give passage to the next ample trend—interactive kiosks. Using AI and data analytics, these ‘tellers’ will deliver personalized experiences matching users with the confiscate teller based on life-stage, transaction history and more. Many banks Have already seen success with virtual assistants in their mobile apps. In 2019 they forecast AI-technology will extend beyond the mobile app and 15 percent of banks will launch interactive kiosks”—Mike Diamond, GM of Payments, Mitek
“AI will gain down to labor beyond the hype and headlines. Practical AI will rule and live focused on making shopping easier, patient assignation better, lawyers smarter and cybersecurity stronger. They won't espy autonomous cars that never crash but AI will augment workplace productivity in original and Interesting ways in 2019”—Ram Menon, Founder and CEO, Avaamo
“2018 was the year of bots, and over the next year we’ll espy pervasive analytics and intent-based AI prefer this a leap further, highlighting the significance of specialized service desks that streamline IT advocate management and allow for instant learning delivery”—Phani Nagarjuna, Chief Analytics Officer, Sutherland
“AI and machine learning (ML) Have been the ‘silver bullets’ of the security industry for the past few years. Malicious actors are taking note. For instance, just affection security vendors can train their ML models on malware samples to detect them, malware writers can ‘train’ or tune their malware to avoid detection using the selfsame exact algorithms. Attackers can too poison the data that ML models consume in training. Because algorithms exigency massive amounts of data to work, it can live difficult to weed out efforts to poison your learning set with fraudulent information. They believe a significant attack or strain of malware will leverage AI in 2019”—Nir Gaist, CTO, Nyotron
“AI has the potential to repercussion the retail sector in a number of ways, but most notably in 2019, they can anticipate increased product innovation in the supply chain. As AI product innovations in the supply chain reduce overall costs through risk mitigation, improved forecasting, sped up deliveries and customer service capabilities, they can await more and more companies to implement such solutions, changing the kisser of retail in 2019”—Brad Taylor, Senior Director, Engineering and Facilities, Radial
“Deep Learning models Have been shown to live vulnerable to imperceptible perturbations in data, that dupe models into making wrong predictions or classifications. With the growing reliance on large datasets, AI systems will exigency to guard against such attacks data, and the savviest advertisers will increasingly peer into Adversarial ML techniques to train models to live robust against such attacks”—Prasad Chalasani, Chief Scientist, MediaMath
“AI will add an extra layer of predictability, allowing organizations to espy patterns and gain insights from IoT devices and past customer behaviors—ultimately making supply chains smarter, leading to faster, more efficient production and fulfillment, and happier customers. In 2019 and beyond, they can await AI to prefer supply chains from reactive in nature to prescriptive levels, helping companies gain one step ahead of consumers’ rising expectations”—Hala Zeine, President of Digital Supply Chain, SAP
“In 2019 AI will ‘cross the chasm’ in healthcare as mainstream non-pioneering institutions apply AI-fueled clinical determination advocate tools to everyday work, including radiologic analysis in the U.S. and oncology drug selection in Africa and South America. Additionally, as advances in molecular biology demonstrate that many ‘common’ diseases are actually clusters of rare sub-forms, AI will find the high-value pockets of minute data (such as unusual genetic signatures) hidden in vast reams of ample data”—Frank Ingari, Board Member, Quest Analytics
“AI for customer self-service isn’t as successful (yet) as the hype would indicate. Many organizations in 2019 will prefer a split approach—more aggressive consume of AI to automate repetitive agent after-call labor and a more targeted approach with simple and high-volume self-service consume cases”—Chris Bauserman, VP of Segment and Product Marketing, NICE inContact
“The key word is cognitive load and how carry out companies reduce it by providing better guidance and overall automation that helps accomplish it easier to use—RPA (Robotic process automation) is a august example of this and continues to heat up. As they coast into 2019, RPA will become even more disruptive in how industries affection retail, manufacturing, supply chain and even finance operate from the ground up. In 2019, they can await to espy more widespread introduction of software robots and simulated intelligence (AI) workers as organizations peer to leverage automation to enhance their overall commerce ecosystem”—Rob Maille, Head of Strategy and Customer Experience, CommerceCX
“As simulated intelligence applications grow in popularity, one key enabling technology will live the talent to process larger data sets constantly being updated with operational data. swiftly access to not just historical data but too current transactions and real-time inputs will live censorious to delivering more value to the enterprise. With the right data currency and quality, AI will coast from special projects into production”—Raghu Chakravarthi, SVP of R&D and advocate Services, Actian
“A major hurdle in the customer experience space is users are silent wary of how brands collect, store, secure and consume their information. Heading into 2019, businesses should live looking to security in AI, using emerging technologies as a passage to protect their customers—both from a purchasing standpoint and from potential digital threats that search to steal the information customers are sharing with brands”—Dan Kiely, CEO, Voxpro
“Intelligent robotic process automation will emerge as traffic critical, as companies will require the towering automation flat necessary to become quick-witted enterprises in 2019. Additionally, conversational AI will prefer automation a step further to automate businesses’ customer advocate with more quick-witted chatbots. These two technologies combined are the next ample milestones to achieve faster, more effectual and more quick-witted AI”—Markus Noga, SVP Machine Learning, SAP
“Artificial intelligence (AI) will accomplish it possible to remotely monitor their health and automatically imply lifestyle changes that could attend obviate diseases or spot them at the onset when they are much more treatable. We're already starting to espy this with FitBits reminding us to hit their daily steps or diabetes technologies monitoring their blood sugar, but this is just the beginning. In 2019 we’ll espy an augment in health wearables hitting the market that consume AI to track a vast number of conditions affection blood pressure, painting a more holistic picture of a person’s health, as it changes in real-time”—Kevin Hrusovsky, CEO, President and Chairman, Quanterix
“Many AI-enabled automation projects in 2018 failed because they were targeting the wrong processes to automate. In 2019, companies must assess what parameters should live taken into consideration—things such as the number of users for any given process, wield time and complexity (i.e. number of apps involved, ilk of actions conducted etc.). If these elements are factored in, this will attend ensure that the processes being automated will succumb a significant ROI for the company. Automating the wrong processes will only lead to frustration and halt an organization’s journey to successful automation”—Oded Karev, VP, Head of Robotic Process Automation, NICE
“As they coast into 2019, every telco operator in the US will Have a strategy defined, and budget allocated, toward monetizing machine learning in operations. However, there is a shortage in talent that will impress everyone and strain companies’ talent to deliver, unless they Have strong scaling strategies. There is a large pool of junior data scientists that will live the key to addressing these shortages and will carry out so in the coming years, but the learning curve will live felt in 2019. As a result of the current learning gap, applications democratizing AI and ML will espy a large augment in exact but will likely tumble short on their ROI due to misinterpretation of data”—Johnny Ghibril, VP of Data Science & Solution Architecture, B.Yond
“Machine learning will continue to labor pretty well but will suffer the occasional ridiculous failure as the underlying statistical nature of many learning algorithms becomes clear. A number of risks surrounding representation, sensor tampering, situation manipulation, priming, and catastrophic forgetting will advance (back) to light. Associated security issues will live fun to explore. On the societal side, some inherent gregarious norms exposed by AI/ML will continue to shock. When machines learn from humans, they can pick up some disagreeable habits and some morally suspect habits. Who knew they were so terrible as a species?”—Gary McGraw, VP of Security Technology, Synopsys
“Look out for ontology-based data science projects to complement existing bots and machine learning programs to round out the data science and AI approaches for traffic in 2019, and to set the benchmark for how these tools can drive the performance of workers in both efficiency and effectiveness. Ontologies add an additional instrument to the set of approaches that companies can now deploy off the shelf and ontologies talent to link together diverse sets of data and draw conclusions from them, accomplish an ontology-based system an easy start for enterprise and traffic organizations in 2019”—David Keane, Co-founder and CEO, Bigtincan
“Enterprises Have been so focused on the potential benefits of AI, that it’s become more buzz phrase than reality. Rather than focus on the buzz in 2019, businesses must focus on adopting AI applications and projects that offer near-term value to their organizations. To ensure success, they will exigency to establish a map in place, including identifying the groups and tools that can actually pilot or incubate original AI technologies to allow adoption enterprise wide. Gradual rollout after testing will attend mitigate any major disruptions to everyday business, while enhancing the organization’s future technology footprint”—John Samuel, Senior Vice President, Global Chief Information Officer, CGS
“We will espy a huge spike in the exploration and adoption of ML/AI tools that can attend develop mobile and web test scenarios without coding (codeless testing), to hurry up the process of code validation and to provide a greater stability for the test code. These tools enable smart test recording with towering degree of stability that is a huge boost to organizational productivity and agility. On the front of smart determination making and quality analysis, they will espy ML/AI solutions that can automate the slicing and dicing of data, and quickly provide root-cause analysis for issues that were detected during the DevOps pipeline testing activities”—Eran Kinsbruner, Director, Lead Software Evangelist, Perfecto
“2019 will espy an exponential augment in the number of research projects and companies edifice solutions that leverage AI to augment developer productivity. They await that by 2020, total development will live assisted by AI co-developers that understand developer intent, imply next best patterns and detect problems before applications coast into production. This will enable companies to continuously better their digital experiences and respond to market needs at a pace that was impossible before”—Antonio Alegria, Head of AI, OutSystems
“Artificial Intelligence will increasingly live used to detect disagreeable actors targeting employees’ and consumers’ inboxes (e.g. spam, phishing, etc.). As the technology advances in the coming year, it will labor pretty well for the most part. However, its occasional mistakes will antecedent significant issues, affection monetary and reputational damage, for businesses. Most users will find slips in security utterly incomprehensible and security companies will Have an especially hard time explaining the matter to customers”—Nathaniel Borenstein, Chief Scientist, Mimecast
“Enterprises will focus seriously on data privacy initiatives to comply with EU laws (GDPR) or situation laws (e.g., CCPA) in 2019, but probably for less obvious reasons. It is not so much the fines per se which can achieve up to 4% of global sales, since it’s uncertain whether such hefty fines will live levied so early; rather, top management and board directors are concerned about their fiduciary responsibility to ensure that proper measures are taken to obviate such strict fines, which could bear significant monetary distress or reputational damage. Separately, it should live preeminent that the usual risk-deflection fashion of buying insurance against fines is not yet available in most countries”—Kon Leong, CEO and Co-founder, ZL Technologies
“In 2019, the value statement of every vendor that builds AI systems should focus on BOTH the value they wish to create AND the underlying righteous foundation of their service. How they collect data, with whom they share that data, and what they discontinuance up doing with that data will increasingly exigency a litmus test for what is acceptable and not. That litmus test needs to live allotment of the culture of the vendor—it needs to advance from the inside out. While this will feel too ‘touchy-feely’ and constraining to some vendors, it is absolutely necessary for long-term traffic viability to establish trust credibly across their user communities. Without transparency, there is no trust. Without trust, there is no data. Without data, there is no AI”—Ojas Rege, Chief Strategy Officer, MobileIron
“2019 is the year that AI unlocks the tremendous value of productivity in the industrial world. More companies are coming to market with upright solutions that require runt know-how in training models or interpreting results. This focused approach can live used by anyone, and enables very quick time-to-value at large scale. This shift will augment productivity and safety and will open the doors for original traffic models throughout the industry, affection Outcome-as-a-Service”—Saar Yoskovitz, Co-Founder and CEO, Augury
“The biggest profit of AI will spin out to live something that they deem of as quintessentially human: being ‘good team players.’ While previous years Have focused on individual algorithms doing things better than individuals, 2019 is about collections of algorithms starting to collaborate on complex tasks. With their speed, absence of ego and built-in altruistic tendencies, the early indications are that AI team performance will quickly outdistance their human counterparts”—Timo Elliott, Innovation Evangelist, SAP
“AI offers healthcare a truly transformational opportunity, particularly in the arena of virtual care. What we’ve known as telemedicine is quickly becoming the analog past, while virtual custody is the digital future—the next iteration of the industry, and AI will play a large role in this transformation. For example, complex algorithms can parse patient information, helping to direct them to the most confiscate flat of care; natural language processing is advancing in a passage that will accomplish online interactions simpler and more effective; and smart systems can assemble patient allergy, prescription history and health information to advocate safer and more effectual prescribing. Best of all, with these AI tools in the hands of providers and healthcare organizations, the digital experience can enhance, rather than supplant, the patient-provider relationship”—Jon Pearce, CEO and Co-founder, Zipnosis
“2019 is the year where they Have everything in their hands to consume digital technology; it will live the year that will differentiate the laggards and the leaders, providing competitive handicap to the forward-thinking organizations. The laggards silent believe there is time, and will sustain developing solutions in silos, making minute progress, without realizing the pace of change is accelerating faster than in the last 20 years. The leaders are the ones that are set for digital transformation across their organizations, and who will leverage ample Data and AI to deploy solutions that fundamentally impress the full drug development life cycle; they will invert the current trend—growth of drug development timelines by 25%, reaching a startling 12 years on average—and bring much-needed therapies to the market sooner”—Isabelle deZegher, Vice President, Integrated Solutions, PAREXEL
“In 2019, society will propel for the demystification of AI and exact a better understanding of what technology is being built, and greater transparency into how it is being used. As transparency increases people will better understand that AI is not an all-encompassing term for machines that can replicate and act affection a complete human, but rather a more categorical set of functionalities that can better automate simple tasks and augment people executing more complex actions. This will result in less anxiety of a machine takeover and greater acceptance of original innovation”—Josh Feast, CEO and Co-founder, Cogito
"In 2019 simulated Intelligence (AI) and Machine Learning (ML) will nearly achieve its full potential by connecting and processing data faster over a global distribution of edge computing platforms. AI and ML insights Have always been available, but possibly leveraged a bit slower than needed over cloud platforms or traditional data centers. We’re already seeing this in the passage airlines build and service airplanes, government defense agencies respond to hackers and how personal assistants accomplish recommendations for future online purchases. This year, thanks to AI and ML, someone will finally know if that special someone really wants a fruitcake or power washer”—Alan Conboy, Office of the CTO, Scale Computing
“2019 seems as if it will live the year of analytics, machine learning and AI. These tools are already available, though their prefer up has often been delayed by a failure to match these original capabilities with confiscate original workflows and SOC practices. Next year should espy some of the pretenders—those claiming to consume these techniques but actually using last generation's correlation and alert techniques in disguise—fall away, allowing the true innovators in this field to inaugurate to dominate. This is likely to lead to some acquisitions, as the large incumbents, who Have struggled to develop this technology, search to buy it instead. 2019 is the year to invest in machine learning security start-ups demonstrating true capabilities”—Stephen Gailey, Solutions Architect, Exabeam
“Some existing applications that they may espy more than others in 2019 will live chatbots and increasingly autonomous vehicles. The improvement in chatbot AI capabilities, will create an break for innovative customer service groups to step up in 2019 over competitors. 2019 will too live a ample year for autonomous driving initiatives to leverage empirical data with continuously improving algorithms and hardware processing power”—Scott Parker, Director of Product Marketing, Sinequa
“As AI and ML become mainstream, a original breed of security data scientists will emerge in 2019. Preparing, processing, and interpreting data require data scientists to live polymath. They exigency to know computer science, data science, and above all, exigency to Have domain expertise to live able to order disagreeable data from convincing data and disagreeable results from convincing results. What they Have already begun seeing is the exigency for security experts who understand data science and computer science to live able to first accomplish sense of the security data available to us today. Once this data is prepared, processed and interpreted, it can then live used by AI and ML techniques to automate security in true time”—Setu Kulkarni, Vice President of Corporate Strategy, WhiteHat Security
“A top tech trend of 2019 will live the repercussion machine learning/AI on the quality of software. In the past, we’ve designed delivery processes to live scrawny and reduce or eradicate waste but to me, that’s an outdated, glass-half-empty passage of viewing the process. In 2019, if they want to fully leverage ML/AI, they exigency to understand that the contradictory of waste is value and prefer a glass-half-full view that becoming more efficient means increasing value, rather than reducing waste”—Bob Davis, CMO, Plutora
“Companies will realize AI is an investment in the transformation of their internal processes, not just a feature that can live turned on to magically fix inefficiencies. On the vendor side, technology providers will accomplish AI tools and platforms easier to implement and establish in place, and the contrast between technology leaders who can truly create this change within an organization and those who are trying to capitalize on the hype will become more and more vivid”—Connie Schiefer, VP Product Management, Mya Systems
“For the last two decades, the epicenter of the world’s economy has shifted as technology driven companies prefer over entire markets at the cost of businesses affection Sears. But that’s just the beginning. ample tech companies are already genesis to consume their advantages in AI and data to achieve beyond their traditional markets into entirely original ones. Amazon has its eyes on entertainment and healthcare. Google is looking at the future of transportation. No company is safe from AI driven disruption and we’ll espy this trend continue to accelerate next year. If companies are silly enough to live caught off guard, they’ll quickly succeed in Sears’ footsteps, unable to conform to the original digital world where AI and ML reign supreme. The hype around AI for automating everything will die down, though the urgency to create more efficient processes will only increase”—Sudheesh Nair, CEO, ThoughtSpot
“2019 will live the year that simulated intelligence companies inaugurate dismissing efforts to modify broken hardware and processes. Instead, they’ll set their sights on holistic ecosystems that reimagine and reshape the passage they design processes altogether. While the technological aspects of this process overhaul will live what drives the necessary sea change, we’ll advance to realize that an even larger break lies in using advanced technologies to optimize human behaviors anywhere they intersect with traffic process flow”—Alan O’Herliy, CEO, Everseen
“In 2019, we’ll quit doubting humans’ role in the fourth industrial revolution—nor anxiety they don’t Have one. It will become lucid that the relationship between machines and humans is not either-or, but rather, it’s highly symbiotic. We’ll realize how crucial it is to marry human insight with AI in order to achieve both AI’s and humans’ potential. We’re already seeing that the AI solutions succeeding at both the department- and enterprise-level are those that leverage humans to set forth the larger strategic vision and drive the instinctual and intuitive elements of any complex process. Solutions that are built to capitalize on this give-and-take between man and machine will bear the best outcomes and experience rapid adoption, as a result”—Or Shani, CEO, Albert Technologies
“Most early traffic AI applications Have revolved around predictive and prescriptive analytics, using AI to augment human determination making. In 2018, AI began going deeper, not just forecasting but actually taking traffic actions. 2019 will espy more adoption of abysmal vertical-specific AI that will autonomously prefer high-value traffic actions across the supply chain—from purchasing and warehousing to messaging and customer service management”—Fayez Mohamood, CEO, Bluecore
“Almost total software companies know every click that a user makes in their applications. What's been missing is a convincing understanding of what the user was trying to accomplish and whether they succeeded or failed. 2019 will live the year that AI-driven technologies will inaugurate understanding the contrast between user intent and basic software functionality. Armed with this information, companies can target individual, team, and function improvement efforts. And software companies can intervene proactively with customers who are on the path to sub-optimal outcomes. Additionally, this will inform software companies and their customers of the potential exigency for application or traffic process optimization”—Michael Graham, CEO, Epilogue Systems
“When it comes to using simulated intelligence in recruiting in 2019, talent acquisition teams will live adopting it with cautious optimism. While organizations using AI earlier in the hiring process Have seen promising results, it’s lucid that the technology is silent in its early adoption phase and AI is being used to inform better, faster and smarter hiring decisions, not accomplish them. However, they may espy more widespread adoption of AI to reduce the amount of time recruiters expend on mundane tasks so they can consume their time on more meaningful candidate interactions”—Kurt Heikkinen, CEO, Montage
“We await to espy AI used more in higher education in 2019 as institutions continue their digital transformation journeys and peer to appeal to students’ preferences for adaptive, engaging learning experiences. Particularly necessary Gen Z, universities and professors exigency to meet students where they are at—online. As Gen Z is fully integrated with a digital era, their learning preferences will reflect differently than generations before them. Using resources with AI components such as AI teaching assistants, online courses and writing centers will start to live used more frequently across campuses”—Kanuj Malhotra, EVP of Corporate development and President of Digital Solutions, Barnes & Noble Education
“As automated technologies shape the workplace in 2019, it’s Important for companies to deem about how the onslaught of technology will repercussion their company culture in the short and long-term. Many organizations are already using AI to search for talent, but when it comes to other areas of the workplace where employees will live encountering AI on a daily basis, companies exigency to understand employee perceptions from the start. Before rolling out any original technology platforms, businesses exigency to live prepared to communicate the value the product will bring to the organization, how it will impress employees for the better, and the positive repercussion it will Have on productivity and engagement. In doing this, companies will set their organizations up for success when implementing original technologies”—Andee Harris, President, HighGround/YouEarnedIt
“We forecast simulated intelligence will become more prominent in the insurance industry in 2019 as more insurtech companies and carriers utilize the technology in their customer experience strategies. At the selfsame time, they too don’t believe that AI will supersede the human insurance agent in the original year or in years to come. Though machine-learning models can live used to attend agents become better advisors to their customers, the human handle will always live Important in insurance”—Jeff Somers, President, Insureon
“As AI continues to live more prevalent, it is undeniable that automated decisioning will supersede traditional white-collar workers. This means AI systems will live making the decisions instead of humans for anything from approving loans or deciding whether a customer should live onboarded to identifying corruption and monetary crime. This is part from Robotic Process Automation (RPA), which simply emulates human decisioning. Instead, convincing AI systems will coast beyond human capability. They can too await to espy greater understanding in the boardroom about what AI really means—including hard-nosed figures around competitive advance, reducing costs of operations and removing headcount. await to espy this C-suite understanding trigger issues around unions and job security as a result of significant operational changes”—Imam Hoque, COO & Head of Product, Quantexa
“While smart virtual assistants and conversational AI will gain a lot of traction in 2019, a large focus of machine learning and its superset simulated intelligence will live on understanding content. AI will live used to filter out what is true and what is not, what is confiscate and what is not. And while strides will live made in understanding content in that context better, the bigger challenge is training data without applying biases. This catch-22 is what makes this problem extremely difficult to solve, but one that will Have a lot of attention in 2019”—Sameer Kamat, CEO, Filestack
“Alongside the augment in exact for AI within companies, we’ve too seen a continued shortage of trained data scientists. To augment the adoption of AI, AI platforms will exigency to empower traditional developers with tools to enable them to create machine learning models faster, as well as ensure they Have an integrated platform that will allow developers to annotate and label the data needed to better the accuracy of their models”—Dale Brown, VP of traffic Development, pattern Eight
“The biggest threat to US and Europe is the rapid advances in AI coming out of China. China is undoubtedly an AI juggernaut and will completely outmaneuver the west if we’re not careful. Why? Because the success of AI is tied to the availability of massive amounts of organized data. In China, it is socially acceptable to trade private, personal information, for minute amounts of monetary value / perks. For better or for worse, this gives companies who operate in the country a massive handicap over companies here. If they want to compete, they exigency a solution to the data problem, and fast”—Hanns Wolfram Tappeiner, Co-Founder and President, Anki
“The exigency for AI-enabled search and analytics solutions will become more prevalent in 2019. Traditional search functions will give passage to the emergence of cognitive search, resulting in AI-driven solutions to attend enterprises un-trap their data and derive more valuable learning and insights. By 2020, cognitive search will streamline information to the point of reducing reactive searching by 20%--and organizations exigency to live ready for this in the year ahead”—Kamran Khan, Managing Director of Search and Content Analytics, Accenture Applied Intelligence
“In 2019, we’ll espy more organizations move to glass box AI, which exposes the connections that the technology makes between various data points. For instance, glass box AI not only tells you there is a original retail opportunity, it too uncovers how that break was identified in the data. It too provides retailers with an break to check their data—and any public or aggregate data they drag in—to ensure AI isn’t making disagreeable assumptions under the adage ‘garbage in, garbage out’”—Nikki Baird, Vice President of Retail Innovation, Aptos
“With an increasing availability of simulated Intelligence (AI) capabilities driven by cloud computing, AI will accomplish its passage into video conferencing in 2019 in everything from meeting margin activity analysis and efficiency, understanding participants’ reactions to given messaging, automated joining procedures, and platform utilization. As organizations search to optimize their services and labor more efficiently, it’s only natural that AI, now readily accessible to assist with predictive analysis and turning data into actionable insights, will transform conferencing and collaboration as they know it”—Jordan Owens, VP of Architecture, Pexip
“We will in the near future espy the lines between audio content and written content disappear. total audio will live searchable in the selfsame manner the text-based web is today, and total text will live accessible as audio, with your favorite voice (Artificial Morgan Freeman?) reading it back to you. As voice assistants and search algorithms continue to advance, you will soon live able to Have a human-like conversation with your assistant, who has instant access to total the learning in the world”—Johan Billgren, Co-founder and Chief Product Officer, Acast
“In 2019, I forecast that it will become lucid that the information and analytics systems that are on the bleeding edge of creating and policing truth—particularly AI-based technologies—are themselves allotment of the ‘bias’ problem. This will lead to the start of a fundamental shift in how they deem about truth—not in binary terms—but as points on a spectrum, with underlying information systems and analytics systems under fire for their inability to either measure or invoke the integrity of their underlying data sets and analytics methods”—Kris Lovejoy, CEO, BluVector
“I await 2019 will live the year we’ll espy an explosion of production applications leveraging simulated intelligence. The tools and models available on the market are ready for prime time, which means it will live far easier for companies of total sizes to deploy quick-witted applications. Along with that, we’ll too espy further soul-searching and advocacy around what role firms providing machine learning services should play in ensuring the ethical consume of their products. AI experts carry a august deal of clout in that conversation, since the services ultimately won’t labor without their help. It will live Interesting to espy what norms emerge out of that process”—Blair Hanley Frank, Principal Analyst, ISG
“For enterprises, 2019 is the year early adopters of an AI platform strategy will experience a leap ahead of their less innovative competitors. There will live lucid winners, and lucid losers in terms of both market share and margin growth. The investments made in automating data ingestion, and edifice machine learning algorithms will kick into the towering gear of self-learning. It’s this phase—when ongoing patterns in data spur self-learning—that result in benefits that start to scale across the all organization”—Dr. Anil Kaul, CEO and Co-Founder, Absolutdata
“Organizations will experience further disillusionment with total the vague hype around machine learning and AI. They’ll increasingly realize that accurate predictions require not just a large volume of training data, but a particular type—behavioral metadata. Analysis of this data can live mined to better shine a spotlight on what’s used and what’s useful. This is the selfsame insight that drove Google Search’s ranking prowess two decades ago: the content of a webpage was less predictive of its utility than how often other pages—built by other people—linked to it. As the ML/AI buzz continues to wear thin, we’ll espy a strong appetite emerge for this ilk of impact-driven technology and behavioral metadata among organizations”—Aaron Kalb, VP of Design and Strategic Initiatives and Co-founder, Alation
“Last year was the year of the data scientist—enterprises focused heavily on hiring and empowering data scientists to create advanced analytics and machine learning models. 2019 is the year of the data engineer. Data engineers will find themselves in towering demand—they specialize in translating the labor of data scientists into hardened, data-driven software solutions for the business. This involves creating in-depth AI development, testing, DevOps and auditing processes that enable a company to incorporate AI and data pipelines at scale across the enterprise”—Nima Negahban, CTO and Co-founder, Kinetica
“AI will fundamentally automate the order-taking side of sales and empower successful reps to become consultants to buyers, helping both parties learn the censorious resources needed to inform their buying and selling decisions. AI-powered innovation will anticipate sales challenges and buyer objections and extract insights to better forecast success during the buyer-seller engagement. In the post-sales phase, AI can pinpoint best practices and identify factors affecting customer experience to attend augment both upselling and word-of-mouth selling. Finally, AI will rapidly bear a more coachable, customer-informed sales rep who is smarter, nimbler and better prepared to sell successfully”—Yuchun Lee, CEO and Co-founder, Allego
“Over the next few years, AI will live increasingly used to dynamically modify and serve creative content based on what’s material in a given context, for a given audience. The goal and break is to meet the audience where they are—whether being served content in a browser, interacting with a physical product and launching a digital experience by scanning packaging, or at home conversing with branded content using a voice assistant. While creative teams and designers will silent determine the aesthetic and tone for a given piece of content, their role becomes even more crucial as the designers of generative frameworks, determining which elements in an experience to accomplish flexible while silent maintaining the core of the creative concept”—Claire Mitchell, Director, VaynerSmart
“While 2018 saw many retailers and brands gain more familiarity with AI and its potential consume cases, 2019 will espy those applications establish into practice. AI will fundamentally change the passage consumers interact with brands, and I await that to become abundantly lucid in 2019 through original levels of personalization. Brands that adopt the consume of AI to optimize the customer experience will espy the implementation inaugurate to repercussion their bottom line”—Adam Goldenberg, Co-CEO and Co-founder, TechStyle fashion Group
“Thus far, the capabilities of AI Have been zeroed in on solving the problems they know—more efficiently extracting patterns and insights from massive data sets we’ve always been close with historically. Next year will bring the greater potential of AI into focus, demonstrating its capacity to digitize things that previously couldn’t live digitized and interject completely original data sets that change the status quo and solve problems they didn’t know they could. Video AI will live a august example of this, helping spin physical settings into actionable data that companies in retail and other sectors can utilize to strengthen customer experiences affection never before—and unlock original services and customer value they may not Have even thought about bringing to market”—Michael Adair, President and CEO, abysmal North
“Personalization has long been the holy grail for marketers and everyone agrees results better by knowing what customers custody about and engage with. Today’s marketers Have more behavioral data than ever, but often don’t Have the time, resources or learning to properly consume it to tailor their approach. In 2019, AI technology will address this issue, ultimately benefiting customers and traffic results. As marketers test machine learning, creative strategy will exigency to evolve”—Cody Bender, Chief Product Officer, crusade Monitor
“2019 will live a pivotal year for AI in the workplace—it will live the year they coast from conversation to impact. We’ll inaugurate seeing AI integrated more deeply into the day-to-day employee experience through things affection digital assistants, whether it’s voice, SMS or another channel. I deem we’ll too espy AI-based digital assistants more front-and-center for original employees, taking a larger role in processes affection onboarding or skills training”—Gretchen Alarcon, GVP of HCM Strategy, Oracle
"One of the biggest challenges in translating lab performance into the clinical setting is the talent to consistently replicate results over time, location and assay—hence the exigency for rock-solid quality systems and standards that provide quantifiable reliability over cohorts. As they coast into 2019, they are genesis to espy true results on how they can apply simulated intelligence to a traditionally painfully laborious and human-driven process that used to prefer weeks and bring it down to real-time monitoring. When applied properly, streamlining and expediting this process ensures that any variability in the workflow—from the sample collection, processing, and total the passage to instrument ingestion—is drastically minimized and hence the results become supremely reproducible, and where potentially actionable and clinically material information is derived in mere seconds”—Aldo Carrasco, CEO, InterVenn Biosciences
“Our fascination with the consume of computing power to augment human decision-making has likely outgrown even the tremendous advances made in algorithmic approaches. In reality, the successful consume of AI and related techniques is silent limited to areas around image recognition and natural language understanding, where input/output scenarios can live reasonably constructed, and that will not change drastically in 2019. The thought that any traffic can ‘turn on AI’ to become successful or more successful is preposterous, no matter how much data is being collected. But the collection of data to advocate humans and algorithms continues and raises Important ethical questions and is something they exigency to pay close attention to over the next few years. Data is human and therefore is just as messy as humans. Data does not create objectivity. It is well established that data and algorithms perpetuate existing biases and automated decisions are—at best—difficult to interpret and justify. Appealing such decisions is even harder when they tumble into the trap of thinking data and algorithms combine to create objective truth. With greater decision-making power comes much greater responsibility, and humans will increasingly live held accountable for the repercussion of decisions their traffic makes”—Christian Beedgen, Co-founder and CTO, Sumo Logic
“In 2018, they saw many examples of adversarial AI algorithms attempting to fool humans, affection Buzzfeed’s video of President Obama delivering fake sentences in a convincing fashion. Soon they can await to espy this concept evolve into a original class of cybercrime in which malicious content is automatically generated by AI algorithms—a original category they define as ‘DeepAttacks.’ DeepAttacks can manifest themselves at scale by generating code within malware files, creating fake network traffic in botnets, or in the figure of fake URLs or HTML webpages. Next year, I await hackers to deploy DeepAttacks more frequently in an attempt to evade both human eyes and smart defenses”—Rajarshi Gupta, Head of AI, Avast Software
“Concerns about AI and privacy were a tropical topic in 2018 – businesses are increasingly seeking insights into their data through the power of AI, but in order to gain those insights, they must share the data with third parties. Ensuring data privacy, and in spin customer privacy, is a challenge they must solve to realize the benefits of AI. In 2019 we’ll espy more solutions emerge to enable AI applications while maintaining airtight privacy using cryptography. One of the most exciting emerging encryption technologies is homomorphic encryption (HE), which is a specific passage of encrypting data so that third parties can operate on the encrypted data and silent consume privacy-preserving machine learning techniques to glean valuable insights. We’re seeing this technique emerge in discussions at NeurIPS and in some public solutions already, such as Microsoft SEAL and HE-Transformer, and await innovations around AI privacy and encryption to explode next year”--Casimir Wierzynski, Senior Director, Office of the CTO, simulated Intelligence Products Group, Intel
"AI will accomplish a huge repercussion on cybersecurity by increasing exponentially the talent to detect rogue patterns and foul play, and in time will better significantly on human talent to analyse data effectively, which will lead to even faster detection and response capabilities via machine learning. Being realistic, however, it is not going to live possible for AI to eradicate security breaches entirely. This is a classic case of the trade-off between the acceptable rate of fraudulent positives (where a legitimate activity is blocked because it’s erroneously assessed to live malign) and fraudulent negatives (where a vilify activity isn’t identified as such). To drive the fraudulent negative rate close to zero, an unacceptably towering rate of legitimate activities would Have to gain blocked”—Richard Anton, Co-founder, Oxx
“In the automotive world, leading automakers and component suppliers are constantly looking for differentiation through AI, and as a result, there is currently a major shift underway from the rigid hardware solutions that started the AI revolution to more flexible, software-based ones that can live easily tailored to customer needs. In 2019 and beyond, AI will increasingly exist on the edge, as concerns around privacy, security and latency accomplish edge-AI preferable over the traditional approach that relies on centralized AI systems. Manufacturers, however, are struggling with the consequences of adding AI to their edge-based products, mainly due to the expensive, bulky and power-consuming hardware required for running them. They’re seeking slimmer, battery friendly, and more cost-effective embedded solutions. This is why we’ll too witness a growing exact for more practical AI that can live mainstreamed affordably, without requiring massive hardware or cloud, and without compromising on quality or performance”—Adi Pinhas, Co-founder and CEO, Brodmann17
Retail modularity based on data and AI-driven insights could literally lead to dynamic rearrangements within the store. This already happens to a degree with seasonal changes such as stirring barbecue items to prominent positions as summer approaches. But now it will live possible for more granular changes. For example, the baby food and Hamburger Helper moves to the discontinuance cap on Sunday-Tuesday, but chips and beer coast to the discontinuance cap on Thursday-Saturday. Roll away a yoke of center-store fixtures on the weekend to accomplish margin for the olive bar installation. Flip the store layout by day of week”—Tony Rodriguez, CTO, Digimarc
“Artificial and augmented intelligence will attend address their nation’s mental health crisis. According to the National Institute of Health, nearly one in five American adults suffers from a figure of mental illness. There are significant barriers to seeking care, including stigma, affordability and access. In 2018, the U.S. tidings cycle was dominated by towering profile celebrity suicides, the constant drumbeat of emotionally charged stories in the news, and divisive midterm elections. That brought Important conversations about mental health and depression to light for many people, thereby reducing the stigma. AI will live able to attend scale access to qualified providers and accomplish it affordable for people to gain the right flat of care. Combined with technologies affection teletherapy and telepsychiatry, it will play an increasingly Important role in improving collaborative care. AI tools and data-driven algorithms will attend clinicians track patient histories, identify times of crisis, and provide personalized custody for individuals to reduce symptoms and better outcomes”—Karan Singh, Co-Founder, Ginger.io
“AI will power cyberattacks more and more. In fact, it is reasonable to assume that armies of AI hackers will Have greater, faster penetration with more automation, allowing hackers to achieve greater success executing cyberattacks. Cyber defense must peer to AI for the faster analytics needed to find malicious activities. With machine learning and AI-driven response, security teams can automate triage and prioritization while reducing fraudulent positives by up to 91%. Enterprises will search innovative solutions that enable them to tarry ahead of the next unknown threat”—Gilad Peleg, CEO, SecBI
“In 2019, AI technology will finally live able to attend not just identify attacks, but too provide evidence-based guidance on how security teams can and should respond to threats. In many situations, AI will live able to respond without the intervention of SOC teams at all. Because AI is constantly learning, the technology is poised to tarry in step with attackers ever-changing tools and techniques. Overall, AI expedites the time from attack identification to remediation by eliminating many of the challenges and burdens that Have traditionally slowed-down the process. The implementation of such AI-driven technology will result in a major risk reduction for enterprises of total sizes”—Eyal Benishti, Founder & CEO, IRONSCALES
“Machines will inaugurate to understand antecedent and effect—today, when machines (such as chatbots and virtual assistants affection Siri and Alexa) respond to us, it’s purely based on correlations. They carry out not Have an understanding of causation. But as machines are getting more disparate sources of data, they will inaugurate to better understand the causal relationship between a large set of variables. As humans, they learn about antecedent and sequel over time through pure common sense. In 2019, we’ll espy this advance to fruition with machines as they collect and feed them more disparate data sources that enable them to build conditional probability distribution to understand the direction of causality”—Michael Wu, Ph.D., Chief AI Strategist, PROS
See too 60 Cybersecurity predictions for 2019 and 20 More AI Predictions For 2019