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A2010-023 exam Dumps Source : Assessment: IBM Tivoli advocate Provider Tools and Processes

Test Code : A2010-023
Test name : Assessment: IBM Tivoli advocate Provider Tools and Processes
Vendor name : IBM
: 53 actual Questions

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IBM Assessment: IBM Tivoli Support

IBM grants one hundred+ SAP S/4HANA enterprise Transformations | actual Questions and Pass4sure dumps

IBM functions leads the manner in assisting consumers accelerate up modernization of commercial enterprise programs, with more than one hundred valued clientele now are vital with SAP S/4HANA

ARMONK, N.Y., Dec. 13, 2018 /PRNewswire/ -- IBM (NYSE: IBM) nowadays announced it has accomplished more than 100 a hit SAP S/4HANA implementations which are enabling companies to accelerate up their digital reinventions.

IBM industry enterprise brand. (PRNewsFoto/IBM corporation) (PRNewsFoto/) (PRNewsfoto/IBM)


As agencies peek to simplify increasingly complicated company approaches and ameliorate their know-how infrastructure, SAP S/4HANA allows businesses to enable current capabilities now not available before, assisting them lay the foundation for more straightforward adoption of imaginative expertise equivalent to AI and blockchain.

sensible & last outlets, a worth-oriented meals and frequent staples retailer, these days grew to become to IBM functions as the company set out to reinvent their operational enterprise processes, beginning with modernizing their economic methods and systems. through adopting SAP S/4HANA and SAP company Planning & Consolidation (BPC), smart & final has created a monetary backbone, a primary digital platform which optimizes fiscal strategies and harmonizes information centrally. Coupled with their e-commerce transformation,  these current capabilities will succor the retailer gain a better realizing of their purchasers and bring an superior in-store adventure. Key to embarking on this adventure become to adopt the prerogative approach to SAP S/4HANA that helped configuration positive a continuous direction to enhanced company efficiency, greater worker savor and operational efficiencies to advocate future increase.  

shoppers throughout industries are deciding on pre-configured trade options. in keeping with IBM research, pre-configured industry options fill accelerated implementation velocity up to 30 percent1.  Drawing on its long term relationship with SAP and deep understanding of IT environments, IBM functions created pre-configured trade specific accelerators – IBM fill an consequence on industry solutions – designed to compile and raise present IBM and SAP functions to advocate accelerate SAP S/4HANA adoption. These options, mixed with IBM's influence assessment, advocate groups expand satisfactory and success within the change method.

"SAP S/4HANA can limn a majestic shift in a company's entire industry mannequin, enabling them to transform approaches, combine current know-how and prerogative away flip their focus on current market alternatives. the course corporations consequence in obligate the platform is essential and has a majestic fill an impact on on their enterprise down the road," pointed out notice Foster, Senior vp, IBM world company functions.  "All valued clientele fill different starting points and necessities to pressure their digital transformations. Having informed hundreds of purchasers and accomplished a hundred transformations, their consultants carry this deep insight and abilities to streamline transformation journeys and free up the merits for valued clientele as straight away as possible."

With greater than a hundred transformations finished, IBM functions is guiding greater than 200 leading world companies of their SAP S/4HANA implementations to advocate pressure their digital transformation, including:

  • Cleco, a regulated utility business, embarked on the intellectual commercial enterprise event leveraging SAP S/4HANA as a fashion to seriously change. IBM features is assisting Cleco to replace its core expertise by shifting it from multiple methods to at least one simple device on SAP S/4HANA. This transformation, while improving the enterprise's techniques in practically each enviornment, is seeing actual advantages in terms of velocity of execution because of IBM's trade certain method.
  • Toyota Indus Motor business, a manufacturer, assembler, distributor and importer of Toyota cars, spare materials and add-ons in Pakistan, obligatory to compete with a surge of international entrants within the country's auto market. via reworking front-to-back operations with SAP S/4HANA on excessive-performance IBM POWER8 servers, its choices had been empowered with true-time records-pushed gear to raise manufacturing effectivity.
  • Logoplaste, a leading plastics packaging manufacturer, mandatory to consequence in obligate a global company administration device that would carry its records prerogative into a separate automated records platform across procurement, production and planning in order that the enterprise could pick capabilities of an IoT approach. IBM capabilities upgraded Logoplaste from SAP ERP to SAP S/4HANA instantly with out a downtime for the manufacturing vegetation. the current strategy gave the industry the skill to deliver real-time assistance to its give-chain partners and cleared the path for the digital innovation according to extra SAP options.
  • "a success Digital Transformations requires a robust industry value case, and a neatly-defined technical roadmap that's closely aligned with the enterprise's present and future method," referred to Michael Kleinemeier, Member of the executive Board of SAP SE, Digital company services. "the numerous successful SAP S/4HANA initiatives delivered by means of SAP and IBM are the splendid proof aspects, that their investments into industry cost property advocate their joint purchasers to configuration the intellectual commercial enterprise a fact. Aligning the SAP mannequin company and IBM fill an consequence on solutions accelerators are respectable examples of how the partnership offers in-depth trade functionality, and at the equal time accelerates time to value."

    Story continues

    together, IBM services and SAP are assisting to accelerate up valued clientele' digital transformations across many industries.  The partners proceed to enhance their ingenious commercial enterprise platform to bring current insights and capabilities that accelerate innovation. lately, IBM added an accelerated Bluefield migration strategy that automates the technique and conversion to deliver a snappily and multifaceted path to SAP S/4HANA transformation. furthermore, IBM fill an consequence on industry options are now attainable on diverse cloud environments, together with IBM Cloud inner most, and IBM is working intently with SAP to boost trade Cloud solutions on IBM Cloud private that can enable clients to soundly faucet into potent technologies comparable to AI, Blockchain and others.

    client charges:

    "sensible & ultimate is realizing operational efficiency and enterprise capabilities to sustain their boom with SAP's S/4HANA digital core and IBM as their transformation partner," spoke of Edward Wong, SVP CIO, smart & last. 

    "a major a section of their resolution to current to SAP S/4HANA now factored on their overview of the IBM fill an consequence on industry options," talked about notice Northrup, frequent manager and Chief suggestions Officer, Cleco. "From their analysis, the extent of pre-configured industry procedures and accelerators has allowed us to start birth their implementation, disclose their stakeholders a working gear on day one and will accelerate up their typical time to price."

    "SAP S/4HANA offers the enabling know-how for their enterprise method. they are able to pick into account how their processes are operating, expand first-rate and reduce the volume of wastage. in the future, they will for example disclose that bottles fill handed purchasers' requisites by using displaying them how they manage the creation process in actual time, resulting in quicker beginning, more advantageous customer provider and decreased prices," observed Conceição Menezes, Chief Digital Officer at Logoplaste. "IBM features is an essential associate for Logoplaste, offering superior SAP options that give us agility and adaptability. Finance, production and executive groups can harness current gear that will power company operations into the longer term. because of SAP and IBM, Logoplaste features fashion transparency from shop-floor to accurate-flooring that permit us to configuration enhanced counsel-primarily based selections that they couldn't configuration before."

    "We at the instant are dwelling in an international the site buyers are stronger-advised than ever. They remark that the ultimate option to win sales and cultivate loyalty is through building a reputation because the most relied on, optimum-pleasant automobile brand available in the market,"talked about Faizan Mustafa, CIO/Head of IT at Indus Motor company Ltd. "SAP S/4HANA will spin into the frightened system that collects and analyzes data from throughout the business, and transforms that records into actionable insight. Their determination-makers will fill up-to-the-minute counsel at their fingertips to configuration stronger-recommended strategic selections, improving the accuracy of their earnings orders and offering the optimum stage of client service. because of their IBM and SAP options, they are reaching the digital transformation a friendly course to advocate us configuration stronger their competitiveness in a quick-moving industry." 

    About IBMFor extra guidance about IBM capabilities, consult with extra information about IBM's SAP functions, argue with

    Sources:[1] in keeping with analysis of venture estimates and actuals with the aid of IBM's impact stint Estimation group

    Media Contact:

    Marisa ConwayIBM Media

    View common content to down load multimedia: hundred-sap-s4hana-enterprise-transformations-300764698.html

    secret agent chiefs fret over outsourcers IBM and HPE after chinese industry hacks | actual Questions and Pass4sure dumps

    Cyber security organizations throughout the five Eyes intelligence neighborhood fill sent their compatriots in Beijing season’s greetings via shaming outsourcers HPE and IBM for being compromised and formally attributing the Cloudhopper data hoovering crusade to the APT10 hacking unit associated China’s Ministry of status safety.

    In a concerted world public relations push set up on Friday, corporations across the U.S., Britain and Australia trotted out a abstain of senior officers to bang the monetary espionage drum towards chinese status subsidized hacking.

    both IBM and HPE are two of the biggest know-how features and hardware suppliers to the Australian government, with the Digital Transformation company this 12 months signing off on a $1 billion multi-yr contend with massive Blue.

    Australian Cyber protection Centre chief Alastair MacGibbon led the freight in the neighborhood, taking to ABC radio to clarify the urgency and gravity of the chinese status sponsored hacking threat, advising organizations and the community to overview protection after they “come back from a well-earned Christmas destroy”.

    Pressed on the clumsy timing of the majestic campaign launch and his assessment that remedial action might wait except after the vacations, MacGibbon mentioned that the launch date had been “chosen for us”.

    “here's now not just common espionage,” MacGibbon renowned on ABC Radio Sydney. “here is stealing commercial secrets and techniques,”  happening to evaluate intellectual property theft to stealing meals from Australians.

    Tempo increases

    The coordinated overseas pains to name and shame chinese state-backed hacking brigades that purpose to exfiltrate highbrow property from groups, the analysis and construction sector and universities follows a collection of international manoeuvres to check China’s efforts.

    They comprehend an expanding number of arrests and indictments, most especially Huawei's Chief monetary Officer Meng Wanzhou.

    in a separate day US prosecutors additionally unsealed indictments towards two chinese language guys, Zhu Hua (aka ‘Godkiller’) and Zhang Shilongin, for his or her alleged involvement within the group on the grounds that 2006.

    they've been charged with “conspiracy to commit computing device intrusions, conspiracy to commit wire fraud, and aggravated identification theft”, the indictment from the USA Justice department states.

    each men labored at Huaying Haitai Science and technology construction enterprise and “acted in affiliation with the chinese language Ministry of status security’s Tianjian status safety Bureau”.

    youngsters hacking actions are alleged so far back to 2006, APT10 begun its ‘MSP Theft crusade’ “in or about 2014”, successfully acquiring access to sufferer businesses in 12 nations.

    An previous ‘technology theft crusade’ secured access “to the computers of more than forty five expertise corporations and US executive companies bases in at least 12 states”.

    Following the indictment, Australia known as on “all international locations - including to uphold commitments to abstain from cyber-enabled theft of intellectual property, alternate secrets and techniques and personal enterprise counsel with the intent of acquiring a competitive expertise.”

    “These commitments were agreed through G20 Leaders in 2015. Australia and China reaffirmed them bilaterally in 2017,” it said.

    In a part commentary by means of the ACSC, MacGibbon said the Cloudhopper incident demonstrated the should proximate “complacency in boardrooms round Australia when it comes to ensuring enterprises fill more suitable cyber safety protections in region”.

    “here's a catalytic adventure for Australia and a desultory for complete parts of their monetary system to elevate the stages of cyber protection for complete Australians, to configuration Australia the most secure site to reside, toil and play on-line,” he stated.

    “corporations necessity to account the inherent dangers in cyber-enabled know-how and to fill the commandeer techniques in site to control these dangers.”

    The ACSC has released assistance for MSPs in the aftermath of the compromise.

    IBM, HPE, DXC on defensive

    international advice company Reuters has mentioned five personal sources as confirming IBM and HPE, now known as DXC, were penetrated by course of chinese language assaults.

    The goal of the Cloudhopper attacks turned into the valued clientele of the outsourcers.

    while cybersecurity enterprises and government companies fill issued multiple warnings in regards to the Cloudhopper probability because 2017, they haven't publicly disclosed the identification of technology corporations whose networks fill been compromised.

    IBM spoke of it had no proof that sensitive company records had been compromised. HPE observed it couldn't comment on the Cloudhopper campaign.

    agencies and governments are increasingly seeking to technology groups referred to as managed carrier providers (MSPs) to remotely exploit their advice expertise operations, together with servers, storage, networking and support-desk guide.

    Cloudhopper targeted MSPs to access customer networks and swipe company secrets from agencies around the globe, in line with a US federal indictment of two chinese nationals unsealed on Thursday. Prosecutors didn't establish any of the MSPs that fill been breached.

    both IBM and HPE declined to finger upon the particular claims made by using the sources.

    “IBM has taken wide counter measures global as a section of its continuous efforts to tender protection to itself and its consumers towards at complete times evolving threats,” the industry renowned in an emailed statement.

    “We pick accountable stewardship of client data very severely and don't fill any evidence that sensitive IBM or client information has been compromised.”

    HPE stated in a statement that it had spun out a huge managed-services enterprise in a 2017 merger with CSC that formed a brand current business, DXC technology.

    “The safety of HPE customer records is their accurate precedence,” HPE pointed out. “we are unable to comment on the specific details described in the indictment, but HPE’s managed services company enterprise moved to DXC technology in reference to HPE’s divestiture of its enterprise features company in 2017.”

    Representatives with DXC technology couldn't be reached instantly for remark.

    Reuters became unable to corroborate the names of different breached know-how firms or establish any affected customers.

    The sources, who fill been not approved to comment on personal assistance gleaned from investigations into the hacks, said that HPE and IBM had been no longer the simplest well known technology corporations whose networks had been compromised through Cloudhopper.

    Cloudhopper, which has been targeting technology features suppliers for a number of years, infiltrated the networks of HPE and IBM diverse times in breaches that lasted for weeks and months, in response to an additional of the sources with capabilities of the matter.

    IBM investigated an assault as currently as this summer, and HPE conducted a majestic transgression investigation in early 2017, the supply said.

    The attackers fill been persistent, making it difficult to ensure that networks had been secure, referred to an additional source.

    IBM has handled some infections through setting up current challenging drives and immaculate working techniques on infected computers, renowned the person established with the effort.

    One senior intelligence professional, who declined to identify any victims who fill been breached, mentioned attacks on MSPs were a major possibility as a result of they just about turned know-how organizations into launchpads for hacks on valued clientele.

    “by means of gaining access to an MSP, that you can in lots of cases profit access to anyone of their consumers,” stated the respectable. “name it the Walmart approach: If I mandatory to pick up 30 several items for my browsing list, I may fade to 15 diverse stores or I could fade to the one which has every thing.”

    Representatives with the FBI and department of native land protection declined to comment. officers with the USA Justice offshoot and the chinese embassy in Washington couldn't automatically be reached for comment.

    A British govt spokeswoman declined to comment on the identities of agencies affected by the Cloudhopper campaign or the fill an impact on of these breaches.

    “a number of MSPs had been affected, and naming them would fill capabilities commercial penalties for them, placing them at an unfair disadvantage to their competitors,” she spoke of.

    With Reuters

    IBM Spends $four hundred Million on SAN Intiative | actual Questions and Pass4sure dumps


    IBM Spends $four hundred Million on SAN Intiative
  • by course of Scott Bekker
  • March 28, 2000
  • IBM Corp. nowadays introduced a $four hundred million initiative to tender items, services and international and regional checking out facilities to the storage enviornment network (SAN) market.

    huge Blue claims these options and capabilities will advocate consumers exploit assistance and transactions effectively across increasingly advanced, multi-seller networks.

    "IBM's SAN initiative is set leveraging every division of the enterprise to carry on the engage of SANs for their customers -- interoperability between dealer programs and actual records sharing," mentioned Linda Sanford, regularly occurring manager, IBM Storage Subsystems Division in a statement.

    As a section of the initiative, IBM ( is setting up more than 50 SAN retort facilities with its industry partners, SAN testing facilities in Montpellier, France in addition to in Makuhari, Japan, and a SAN and Storage capabilities consulting keep inside IBM global services.

    IBM world capabilities is delivering current capabilities to aid consumers enforce SANs and different storage solutions. These comprehend industry Storage evaluation, Planning and Design capabilities, Implementation features, and aid features

    IBM will also tender products as a result of the initiative, together with current fashions of the Shark industry Storage Server, and current fibre channel-based mostly SAN options.

    the brand current models of its Shark commercial enterprise Storage Server feature IBM’s sixty four-bit RISC processor, sixteen gigabytes of cache, and additional PCI buses, resulting in up to a one hundred percent boost in throughput. latest Shark shoppers can upgrade to the current processor to gain efficiency benefits. The greater Shark utility will advocate advanced copy functions and native fibre channel connectivity as these features develop into purchasable.

    IBM is additionally announcing current stronger, business-regular, fibre channel-based routers, gateways, switches and managed hubs that boost SAN connectivity in an enterprise. additionally, IBM Magstar tape items can now join in a SAN using the IBM SAN records Gateway, permitting them to aid the sharing of tape drives within a SAN.

    On April four, IBM’s Tivoli techniques Inc. ( will proclaim Tivoli LAN-free SAN administration software, enabling suggestions to be shared throughout several application courses, servers and storage gadgets.

    IBM also introduced a SAN retort using a cluster of two Netfinity servers with fibre channel connections and Legato methods Inc. ( mirroring extension software. The cluster can be separated via as plenty as 10 kilometers (6.2 miles). IBM's SAN Fibre Channel Managed Hub creates excessive-speed interconnections for such purposes as high-availability clustering, storage consolidation, and LAN-free backup.

    business analysts estimate that with the aid of 2002, SANs may be used through 70 % of complete medium and majestic companies. – Thomas Sullivan

    concerning the creator

    Scott Bekker is editor in chief of Redmond Channel associate magazine. A2010-023 Dumps and actual Questions

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    A2010-023 exam Dumps Source : Assessment: IBM Tivoli advocate Provider Tools and Processes

    Test Code : A2010-023
    Test name : Assessment: IBM Tivoli advocate Provider Tools and Processes
    Vendor name : IBM
    : 53 actual Questions

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    120 AI Predictions For 2019 | actual questions and Pass4sure dumps

    Me: “Alexa, repeat me what will befall 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 status of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably pick up the redress action the human intelligence behind it programmed it to perform.

    What will be the status of AI in 2019?

    The following list features 120 senior executives involved with AI, complete 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 configuration or another by millions of bank customers around the globe and will only pick up better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I remark a majestic uptake in the number of customers that will depend on AI to ‘drive’ their finances and pick automated actions to succor them reach their monetary goals. To deliver efficacious Self-Driving Finance, monetary institutions will require specialized forms of AI for each of their customer segments such as retail, miniature business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed theme matter scholarship and expertise”—David Sosna, Co-founder and CEO, Personetics

    “2019 will be the year of specialized AI systems built by organizations based on their own data. Given the realization that organizations sometimes fill only limited amounts of data, but also require specialized data, organizations will arrive to realize that they necessity tools to easily create character AI data internally. This character over quantity approach will require organizations to pick stock of the data they fill and put a question to 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 balance between repeatability of images and variation? Is my dataset diverse? Taking current approaches to data strategy will be make-or-break for overcoming the challenges of AI’s data problem, to develop AI that works in the actual world”—Max Versace, PhD, CEO and co-founder, Neurala

    “AI will enable greater process discovery.  Process discovery is dote a sensor embedded in the application that learns complete of the user journeys, using AI to foretell 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 exercise a system, providing a scope of possibilities based on what the individual needs to do”—Rephael Sweary, Co-founder and President, WalkMe

    "In 2019, they will start to remark technology that will allow designers to talk to computer programs powered by AI to redesign, optimize and lightweight parts made by 3D printers in actual time. The designer will simply articulate the design goals and material parameters and the AI will carry out the rest—exploring nearly eternal design permutations based on existing design concepts. More power will be consequence into the hands of designers who will be 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 originate to remark AI deliver meaningful value to the enterprise and pick up us closer to the Holy Grail of AI, which is helping people at complete levels of an organization carry out what they carry out more effectively and efficiently, while uncovering current opportunities and current ways to work”—Josh James, Founder and CEO, Domo

    “While B2B providers fill been gradual to fit to the towering standard 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 necessity to hold pace by using machine learning and AI to tender a personalized savor 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 majestic deal of hype around AI in healthcare but they also 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 exercise cases that bring operational efficiency.  In 2019 they are going to remark voice and video, coupled with AI, being used to succor accelerate the shift of the point of supervision from the hospital, to the patient, wherever they are. The convergence of AI with 5G will also accelerate the progress of digital therapeutics that are more personalized, adaptive and pick edge of AR and VR. Mental health and substance misuse treatment will be where they remark early adoption. Clinicians that embrace AI as an augmenter or assistant, not as a threat of replacement or obsolescence, will be able to differentiate themselves both to their patients and their peers”—Jennifer Esposito, generic Manager, Health & Life Sciences, Intel

    “AI plays an increasing critical role in several industries from translating text and powering industrial drones to patient diagnosis. In 2019, they hope AI, and more precisely image recognition, to be integrated into everyday life tasks such as helping those with disabilities and automating cars. AI will also become section of the everyday shopping savor 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 proximate 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 remark that trend happening in transportation and consumer electronics—cars, scooters, washing machines, coffee makers, thermostats, etc. But soon you’ll start seeing it befall everywhere—tables, chairs, floors, walls, clothes. As a result, they won’t necessity to own anything. We’ll simply subscribe to services: housing services, food services, transportation services, furniture services, clothing services. We’ll be vital in a accurate Subscription Economy”– Tien Tzuo, CEO & Founder, Zuora

    “Automation plays into the hands of a cyber attacker, allowing him to exercise simpler tools to gain access and infiltrate networks. However, automation used in defense is not creating anywhere near the very impact. Two core factors can be 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 counterfeit positive problem is resolved, automation is not full-proof. Instead, automation should primarily be leveraged pre-breach, serving as a proactive defense mechanism to succor 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 critical 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 be 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 originate 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 fill been passionate topics for a while, but that will originate to decline in 2019. With many enterprises once having built an 'AI strategy,' today we’re already finding that more and more are moving away from the hype and into solving real-world problems. They will remark the focus shift from AI to 'AI-driven' results as companies peek for actual industry impact from AI tools. The technology will be less primary than the industry 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 succor everyday menial tasks”—Josh Poduska, Chief Data Scientist, Domino Data Lab

    “2019 will be the year of the death of the data scientist. In 2019, everybody is going to start learning artificial Intelligence (AI) and the domain of data science will no longer be a purist data scientist. There are only about 5,000 folks who are data scientists and they can’t depend on them to lead an industrial revolution. Everyone within an organization needs to fill AI skills, from product managers to industry analysts. The death of the data scientist is the pinnacle of this revolution”—Aman Naimat, CTO, Demandbase

    “Some of their AI emperors fill no clothes. For years, passionate 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 current wave is on the horizon—AI startups that generate proprietary data every time they're used. These startups, which leverage what they convoke Coaching Networks, are powered by algorithms that forever ameliorate because they're fueled by the creative inputs and successes of millions of workers. These focused networks will be 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 succor 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 be a majestic leap in unsupervised machine learning in the near future. Finally, I they will remark companies using AI to train AI. Instead of data scientists trying to experiment on which AI models toil better for actual world problems, companies will let AI carry out the toil for them. This will succor AI outperform humans in many current tasks”—Yaron Hadad, Chief Scientist and Co-Founder, Nutrino

    “If they want to create AI which is actually adopted by humans, it will fill to be less and less ‘artificial,’ and more and more ‘intelligent,’ sense it will fill to pick on human traits. For people to feel a connection to AI-powered services and be willing to adopt them into every aspect of their lives, these services will fill to become more and more anthropomorphized. And just as the human body is able to heal itself, they will also hope 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 be slowly retired in 2019. As digitization of the industry matures, the concept 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 alone are ineffective in the face of unstructured medical data and the complex realities of patient care. For 2019 they are skeptical about broad, systems-based uses of artificial intelligence promising unspecified insights”—Yonatan Adiri, Founder and CEO,

    “In 2019, not only will developing more robust and sophisticated AI algorithms pick headquarters stage, but as these AI algorithms become more unique and effective, they will also grow in value and owners will fill to protect their substantial investment. Companies are spending millions to develop AI, and they are often at the heart of industry growth, yet current security challenges have emerged around protecting these AI models—securing their intellectual property from being stolen while also ensuring that no one is tampering with the model. In 2019, they will fill to be deeply intellectual about protecting their artificial Intelligence”—Alon Kaufman, Co-founder and CEO, Duality Technologies

    “Until now, the exercise of AI has been focused on making their lives more automated and their industries smarter. In 2019, they are going to remark a shift toward utilizing AI for companionable friendly and making their lives more sustainable. AI is going to be used to configuration their cities and industries more environmentally friendly and their world a better place. From agritech and crop optimization to utilities and alternative energy, the majestic data analytics and machine learning behind AI will be leveraged to completely change the course consumers interact with their surroundings”—Natan Barak, CEO and Founder, mPrest

    "In 2019, the global lending sector will remark an uptick in AI that can foretell 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 current financing opportunities that arise throughout a business’s lifespan, as it grows and improves. This very 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 be ‘remodeled’ to access and resolve predictionary data differently. The Autonomous Vehicle industry will journey away from demur fusion and towards raw data fusion, which enables AVs to better interpret movement, speed, angle, and trajectory, and provides rich data to foretell 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 actual estate are comprised of an intricate web of interactions that move 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 impact felt across current industries that were previously off limits. They remark asset managers looking to develop current 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 level 4 and 5 autonomous vehicles (AVs) silent aren’t commercially available, 2019 will be the year that they pick 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 ameliorate to a level suitable for complete road conditions. Simultaneously, the types of data collected for AI will be broadened to comprehend non-visual data. Better data means better AI and safer AVs”—Boaz Mizrachi, Founder & CTO, Tactile Mobility

    "As more businesses depend on AI to fuel their own products, services and data-driven marketing innovations, sinful actors across the digital ecosystem will utilize similar capabilities to expand 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 be able to clearly ‘see’ the entire ecosystem and protect themselves from fraud and the polluted data that impacts industry decisions—leading to a significant competitive advantage"—Ran Avrahamy, VP, Global Marketing, AppsFlyer

    “AI research and applications are proving increasingly primary in healthcare, improving patient outcomes through a more personalized, data-driven approach. Just as majestic 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 be 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 be the linchpin of digital health’s application to the prevention and treatment of disease, specifically chronic illnesses, connecting the dots between the miniature data that can optimize an individual’s personal supervision and the majestic data that can uncover solutions with a global impact”—Dana Chanan, CEO and Co-Founder, Sweetch

    “2019 will be a pivotal year in the course 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 ascetic challenges such as traffic, pollution and necessity of parking space, in 2019 they will fill far better visibility into the root cause—inefficiency of movement in urban areas. Understanding how people are moving 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 necessity to journey around, encouraging people to journey together, and creating multimodality. In order to pick up there, cities will necessity visibility into such data, and AI is precisely the appliance that will enable such visibility, fostering prediction capabilities and action points to significantly ameliorate the course they move”—Liad Itzhak, SVP Head, HERE Mobility

    “There is no shortage of angst when it comes to the impact of AI on jobs, especially within the agricultural industry. However, the future of precision agriculture and the key to growing a better crop will depend on AI, imagery and sensors that will be able to learn from collecting information cultivated from 1000-acre farms. Agronomists and farmers are facing a major labor shortage and necessity of expertise. The require 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 necessity to pay proximate attention to labor initiatives and employee management. Farms across the world are moving 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 ameliorate customer experience, profitability and remain competitive. In 2019, they will remark emergence of current data sources (surveillance cameras, on-the-shelf-cameras, robots) and AI models for inventory management, better customer retail experiences, targeted marketing, and adding current capabilities such as self-checkout. The key challenge, however, is to develop and scale AI operations to thousands of retail stores that vary in planograms, camera models, and network infrastructure capabilities”—Atif Kureishy, Vice President Global Emerging Practices, Teradata

    "I hope we'll remark AI-based attribution tools hitting their stride in 2019. In today’s digital environment, attribution continues to be 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 succor 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 fill a leg up on the competition"—Carl Schmidt, CTO and co-founder, Unbounce

    “The future of third-party data is critical for marketers to tarry actionable and competitive in a fast-moving technology landscape. The culmination of high-profile corporate privacy scandals and current wide-sweeping data legislation has forced consumers to pick up to grips with their digital footprints and has caused them to be more critical over how they are targeted. moving forward, third party data will succor marketers congregate more insights surrounding how consumers exercise emerging technologies such as voice, location-based search and AI, so they can target them in a course 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 configuration is drowning out the fact that today, there is actual value in AI tools that collect, organize and configuration actionable the collective human experience. AI is not HAL 9000 from Space Odyssey. In 2019, AI will be about making people smarter, more effective, and more productive. It will also configuration people happier in their jobs – especially IT professionals. For enterprise IT, 2019 will be the year that AI will enable teams to journey beyond simple stint automation, to empower the robotization of entire processes. By tapping the applied collective scholarship of thousands of users and millions of process executions with AI, IT teams will be able to preemptively streamline application development, troubleshooting and even one-off daily requests. AI will bring them much needed help, backed by more scholarship and savor than any separate 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 necessity of the essential link between sensing and action. Currently, they fill a variety of technologies that tender 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 remark this convergence entering the market in 2019, led by forward-thinking tech players who will build out this visionary ecosystem to satisfy the demands of consumers who want to remark a Jetson—esqe future, now.”—Nebu Mathai, EVP Product Engineering, Cognitive Systems Corp.

    “As AI increasingly takes on roles in the workplace, it will be judged not only on its IQ, but EQ—emotional intelligence—and faculty to perceive and understand complete things human. The faculty to understand human emotions and cognitive states will become section of the criteria for evaluating AI, as companies configuration decisions on which AI solution to select for their workplace, and even as consumers pick between systems dote virtual assistants or smart speakers to fill in their homes”—Rana el Kaliouby, PhD, CEO and co-founder, Affectiva

    “The focus of AI will shift from intelligence to empathy—we’re moving 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, conclusion Management and Analytics, Pegasystems

    “As businesses expand their exercise of AI to extract greater value from their digital assets, metadata tagging will become an even more critical factor of enterprise storage. This will bring more attention to demur storage, which is centered on metadata, and the key will be integrating well with AI tools”—Jon Toor, CMO, Cloudian

    “Centralized data will be replaced by a separate view of complete 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 exercise 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 dote Hadoop. The merger of Hortonworks and Cloudera was a first peek 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 be eliminated with the rise of artificial Intelligence and machine learning”—Roman Stanek, CEO, GoodData

    “High-profile breaches this past year fill thrust the application layer under the security spotlight. As applications become increasingly sophisticated, their progress also opens up increased vulnerabilities. While DevOps is racing to hold up with accelerated application development, it is becoming increasingly impossible to manually hold up with, much less anticipate, threats. Machine learning and AI will continue to be used to mitigate vulnerabilities much more efficiently and with more accurate results”—Ivan Novikov, CEO, Wallarm

    “2019 is going to be the year of open source AI. We’re already seeing companies originate to open source their internal AI projects and stacks, and I hope to remark this accelerate in the coming year. The impetus for this is the very as in other industries such as the cloud that fill moved strongly to open source—increased innovation, faster time to market and lower costs. The cost of building a platform is high, and organizations are realizing the actual value is in the models, training data and applications. We’re going to remark harmonization around a set of critical projects creating a comprehensive open source stack for AI, machine learning, and deep learning”—Ibrahim Haddad, Director of Research, The Linux Foundation

    “AI will succor elevate in-store customer experiences. AI will be used to succor 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 fill tried in the past to exercise beacon technology to enable the very level of personalization, but beacons are largely considered a failure because they require specific app downloads, Bluetooth connections or other factors that vastly circumscribe their usability. This problem will be solved by AI-trained face recognition algorithms. In 2019, customers that opt-into face recognition programs will gain numerous in-store benefits including personalized discounts, white glove service and shorter wait times. Retailers will finally be able to tender customers the very level 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 scholarship workers where AI and data analytics will play an increasing role in supporting and even making decisions. At the very time, the current misconception about complete data analytics being AI will be more widely discussed, particularly with regards to the availability of sufficient, germane and specific data to train algorithms and hold them ‘learning.’ This will lead to an increased focus on more advanced methodologies that can learn and fit based on actual real-time data”—Mikael Johnsson, Co-founder, Oxx

    “Because companies are recognizing that AI cannot be built without high-quality data, they will increasingly spin to specialized providers that sit on crucial data resources to succor them understand their unstructured data. For example, Bloomberg is building NLP libraries that are specific to the monetary domain”—Gideon Mann, Head of Data Science, Office of CTO, Bloomberg

    “In 2019 they hope a significant journey forward with frameworks and standards for measuring and testing prejudice in AI. They will remark an expand in necessity for human judgement and, consequently, an expand 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 character of service (QoS) is no longer enough. proximate customers are now so relative upon always-on connectivity and so sensitive to service outages that even short service interruptions are now deal-breakers. moving forward, we’re going to remark artificial intelligence (AI) emerge as the role of a fixer and optimizer to enhance IT operations. Initial applications will attend to focus on security functions, dote DDoS assault mitigation and real-time automated path selection. Eventually, uses will comprehend AI-defined network topologies and basic operations, which will succor us forge a network that runs on auto-pilot”—Kailem Anderson, Vice President of Software and Services, Ciena

    “The explosion of artificial 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 replace the entire IT team overnight, nor will it pick up proximate any time soon due to the current applications of the technology. However, as AI starts to erode the necessity for humans in the IT helpdesk, they will remark those ITDMs that wish to survive carry out what they should be doing anyway—grow, expand into higher value areas and maintain a proximate 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 offshoot consolidation will give course to the next majestic trend—interactive kiosks. Using AI and data analytics, these ‘tellers’ will deliver personalized experiences matching users with the commandeer teller based on life-stage, transaction history and more. Many banks fill already seen success with virtual assistants in their mobile apps. In 2019 they foretell 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 pick up down to toil beyond the hype and headlines. Practical AI will rule and be focused on making shopping easier, patient rendezvous better, lawyers smarter and cybersecurity stronger. They won't remark autonomous cars that never crash but AI will augment workplace productivity in current and captivating ways in 2019”—Ram Menon, Founder and CEO, Avaamo

    “2018 was the year of bots, and over the next year we’ll remark pervasive analytics and intent-based AI pick this a leap further, highlighting the importance of specialized service desks that streamline IT advocate management and allow for instant scholarship delivery”—Phani Nagarjuna, Chief Analytics Officer, Sutherland

    “AI and machine learning (ML) fill been the ‘silver bullets’ of the security industry for the past few years. Malicious actors are taking note. For instance, just dote 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 very exact algorithms. Attackers can also poison the data that ML models exercise in training. Because algorithms necessity massive amounts of data to work, it can be difficult to weed out efforts to poison your learning set with counterfeit information. They believe a significant assault or strain of malware will leverage AI in 2019”—Nir Gaist, CTO, Nyotron

    “AI has the potential to impact 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 hope more and more companies to implement such solutions, changing the face of retail in 2019”—Brad Taylor, Senior Director, Engineering and Facilities, Radial


    “Deep Learning models fill been shown to be vulnerable to imperceptible perturbations in data, that dupe models into making wrong predictions or classifications. With the growing reliance on great datasets, AI systems will necessity to guard against such attacks data, and the savviest advertisers will increasingly peek into Adversarial ML techniques to train models to be robust against such attacks”—Prasad Chalasani, Chief Scientist, MediaMath

    “AI will add an extra layer of predictability, allowing organizations to remark 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 hope AI to pick supply chains from reactive in nature to prescriptive levels, helping companies pick up 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 conclusion 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 miniature data (such as unusual genetic signatures) hidden in vast reams of majestic 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 pick a split approach—more aggressive exercise of AI to automate repetitive agent after-call toil and a more targeted approach with simple and high-volume self-service exercise 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 configuration it easier to use—RPA (Robotic process automation) is a majestic example of this and continues to heat up. As they journey into 2019, RPA will become even more disruptive in how industries dote retail, manufacturing, supply chain and even finance operate from the ground up. In 2019, they can hope to remark more widespread introduction of software robots and artificial intelligence (AI) workers as organizations peek to leverage automation to enhance their overall commerce ecosystem”—Rob Maille, Head of Strategy and Customer Experience, CommerceCX

    “As artificial intelligence applications grow in popularity, one key enabling technology will be the faculty to process larger data sets constantly being updated with operational data. snappily access to not just historical data but also current transactions and real-time inputs will be critical to delivering more value to the enterprise. With the prerogative data currency and quality, AI will journey from special projects into production”—Raghu Chakravarthi, SVP of R&D and advocate Services, Actian

    “A major hurdle in the customer savor space is users are silent wary of how brands collect, store, secure and exercise their information. Heading into 2019, businesses should be looking to security in AI, using emerging technologies as a course to protect their customers—both from a purchasing standpoint and from potential digital threats that hunt to swipe the information customers are sharing with brands”—Dan Kiely, CEO, Voxpro

    “Intelligent robotic process automation will emerge as industry critical, as companies will require the towering automation level necessary to become intellectual enterprises in 2019. Additionally, conversational AI will pick automation a step further to automate businesses’ customer advocate with more intellectual chatbots. These two technologies combined are the next majestic milestones to achieve faster, more efficacious and more intellectual AI”—Markus Noga, SVP Machine Learning, SAP

    “Artificial intelligence (AI) will configuration it viable to remotely monitor their health and automatically hint lifestyle changes that could succor preclude diseases or spot them at the onset when they are much more treatable. We're already starting to remark 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 remark an expand in health wearables hitting the market that exercise AI to track a vast number of conditions dote 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 be taken into consideration—things such as the number of users for any given process, handle time and complexity (i.e. number of apps involved, nature of actions conducted etc.). If these elements are factored in, this will succor ensure that the processes being automated will yield 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 journey into 2019, every telco operator in the US will fill a strategy defined, and budget allocated, toward monetizing machine learning in operations. However, there is a shortage in talent that will move everyone and strain companies’ faculty to deliver, unless they fill stout scaling strategies. There is a great pool of junior data scientists that will be the key to addressing these shortages and will carry out so in the coming years, but the learning curve will be felt in 2019. As a result of the current scholarship gap, applications democratizing AI and ML will remark a great expand in require but will likely descend short on their ROI due to misinterpretation of data”—Johnny Ghibril, VP of Data Science & Solution Architecture, B.Yond

    “Machine learning will continue to toil 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, status manipulation, priming, and catastrophic forgetting will arrive (back) to light. Associated security issues will be fun to explore. On the societal side, some inherent companionable norms exposed by AI/ML will continue to shock. When machines learn from humans, they can pick up some sinful 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 industry in 2019, and to set the standard for how these tools can drive the performance of workers in both efficiency and effectiveness. Ontologies add an additional appliance to the set of approaches that companies can now deploy off the shelf and ontologies faculty to link together diverse sets of data and draw conclusions from them, configuration an ontology-based system an effortless start for enterprise and industry organizations in 2019”—David Keane, Co-founder and CEO, Bigtincan

    “Enterprises fill 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 tender near-term value to their organizations. To ensure success, they will necessity to consequence a course in place, including identifying the groups and tools that can actually pilot or incubate current AI technologies to allow adoption enterprise wide. Gradual rollout after testing will succor 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 remark a huge spike in the exploration and adoption of ML/AI tools that can succor develop mobile and web test scenarios without coding (codeless testing), to accelerate 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 conclusion making and character analysis, they will remark 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 remark an exponential expand in the number of research projects and companies building solutions that leverage AI to expand developer productivity. They hope that by 2020, complete progress will be assisted by AI co-developers that understand developer intent, hint next best patterns and detect problems before applications fade into production. This will enable companies to continuously ameliorate 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 be used to detect sinful actors targeting employees’ and consumers’ inboxes (e.g. spam, phishing, etc.). As the technology advances in the coming year, it will toil pretty well for the most part. However, its occasional mistakes will cause significant issues, dote monetary and reputational damage, for businesses. Most users will find slips in security utterly incomprehensible and security companies will fill 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 status laws (e.g., CCPA) in 2019, but probably for less obvious reasons. It is not so much the fines per se which can scope up to 4% of global sales, since it’s uncertain whether such hefty fines will be levied so early; rather, top management and board directors are concerned about their fiduciary responsibility to ensure that proper measures are taken to preclude such ascetic fines, which could bear significant monetary distress or reputational damage. Separately, it should be renowned that the customary 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 ethical foundation of their service. How they collect data, with whom they partake that data, and what they proximate up doing with that data will increasingly necessity a litmus test for what is acceptable and not. That litmus test needs to be section of the culture of the vendor—it needs to arrive from the inside out. While this will feel too ‘touchy-feely’ and constraining to some vendors, it is absolutely necessary for long-term industry viability to establish reliance 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 perpendicular solutions that require tiny know-how in training models or interpreting results. This focused approach can be used by anyone, and enables very quick time-to-value at great scale. This shift will expand productivity and safety and will open the doors for current industry models throughout the industry, dote Outcome-as-a-Service”—Saar Yoskovitz, Co-Founder and CEO, Augury

    “The biggest profit of AI will spin out to be something that they account of as quintessentially human: being ‘good team players.’ While previous years fill 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 supervision is the digital future—the next iteration of the industry, and AI will play a great role in this transformation. For example, complex algorithms can parse patient information, helping to direct them to the most commandeer level of care; natural language processing is advancing in a course that will configuration online interactions simpler and more effective; and smart systems can congregate patient allergy, prescription history and health information to advocate safer and more efficacious prescribing. Best of all, with these AI tools in the hands of providers and healthcare organizations, the digital savor can enhance, rather than supplant, the patient-provider relationship”—Jon Pearce, CEO and Co-founder, Zipnosis

    “2019 is the year where they fill everything in their hands to exercise digital technology; it will be the year that will differentiate the laggards and the leaders, providing competitive edge to the forward-thinking organizations. The laggards silent believe there is time, and will hold developing solutions in silos, making miniature 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 majestic Data and AI to deploy solutions that fundamentally move the full drug progress life cycle; they will reverse the current trend—growth of drug progress 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 push for the demystification of AI and require 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 dote 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 horror of a machine takeover and greater acceptance of current innovation”—Josh Feast, CEO and Co-founder, Cogito

    "In 2019 artificial Intelligence (AI) and Machine Learning (ML) will nearly reach its full potential by connecting and processing data faster over a global distribution of edge computing platforms. AI and ML insights fill 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 course airlines build and service airplanes, government defense agencies respond to hackers and how personal assistants configuration 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 be the year of analytics, machine learning and AI.  These tools are already available, though their pick up has often been delayed by a failure to match these current capabilities with commandeer current workflows and SOC practices. Next year should remark some of the pretenders—those claiming to exercise these techniques but actually using last generation's correlation and alert techniques in disguise—fall away, allowing the actual innovators in this field to originate to dominate.  This is likely to lead to some acquisitions, as the great incumbents, who fill struggled to develop this technology, hunt to buy it instead. 2019 is the year to invest in machine learning security start-ups demonstrating actual capabilities”—Stephen Gailey, Solutions Architect, Exabeam

    “Some existing applications that they may remark more than others in 2019 will be chatbots and increasingly autonomous vehicles. The improvement in chatbot AI capabilities, will create an opportunity for innovative customer service groups to step up in 2019 over competitors. 2019 will also be a majestic 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 current breed of security data scientists will emerge in 2019. Preparing, processing, and interpreting data require data scientists to be polymath. They necessity to know computer science, data science, and above all, necessity to fill domain expertise to be able to repeat sinful data from friendly data and sinful results from friendly results. What they fill already begun seeing is the necessity for security experts who understand data science and computer science to be able to first configuration sense of the security data available to us today. Once this data is prepared, processed and interpreted, it can then be used by AI and ML techniques to automate security in actual time”—Setu Kulkarni, Vice President of Corporate Strategy, WhiteHat Security

    “A top tech trend of 2019 will be the impact machine learning/AI on the character of software. In the past, we’ve designed delivery processes to be lean and reduce or eliminate fritter but to me, that’s an outdated, glass-half-empty course of viewing the process. In 2019, if they want to fully leverage ML/AI, they necessity to understand that the opposite of waste is value and pick 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 be turned on to magically fix inefficiencies. On the vendor side, technology providers will configuration AI tools and platforms easier to implement and consequence in place, and the incompatibility 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 pick over entire markets at the cost of businesses dote Sears. But that’s just the beginning. majestic tech companies are already beginning to exercise their advantages in AI and data to reach beyond their traditional markets into entirely current 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 remark this trend continue to accelerate next year. If companies are fatuous enough to be caught off guard, they’ll quickly ensue in Sears’ footsteps, unable to fit to the current 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 be the year that artificial intelligence companies originate dismissing efforts to modify broken hardware and processes. Instead, they’ll set their sights on holistic ecosystems that reimagine and reshape the course they design processes altogether. While the technological aspects of this process overhaul will be what drives the necessary sea change, we’ll arrive to realize that an even larger opportunity lies in using advanced technologies to optimize human behaviors anywhere they intersect with industry process flow”—Alan O’Herliy, CEO, Everseen

    “In 2019, we’ll stop doubting humans’ role in the fourth industrial revolution—nor horror they don’t fill one. It will become clear 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 reach 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 savor rapid adoption, as a result”—Or Shani, CEO, Albert Technologies

    “Most early industry AI applications fill revolved around predictive and prescriptive analytics, using AI to augment human conclusion making. In 2018, AI began going deeper, not just forecasting but actually taking industry actions. 2019 will remark more adoption of deep vertical-specific AI that will autonomously pick high-value industry actions across the supply chain—from purchasing and warehousing to messaging and customer service management”—Fayez Mohamood, CEO, Bluecore

    “Almost complete software companies know every click that a user makes in their applications. What's been missing is a accurate understanding of what the user was trying to accomplish and whether they succeeded or failed. 2019 will be the year that AI-driven technologies will originate understanding the incompatibility between user intent and basic software functionality. Armed with this information, companies can target individual, team, and office 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 necessity for application or industry process optimization”—Michael Graham, CEO, Epilogue Systems

    “When it comes to using artificial intelligence in recruiting in 2019, talent acquisition teams will be adopting it with cautious optimism. While organizations using AI earlier in the hiring process fill seen promising results, it’s clear that the technology is silent in its early adoption facet and AI is being used to inform better, faster and smarter hiring decisions, not configuration them. However, they may remark more widespread adoption of AI to reduce the amount of time recruiters expend on mundane tasks so they can exercise their time on more meaningful candidate interactions”—Kurt Heikkinen, CEO, Montage

    “We hope to remark AI used more in higher education in 2019 as institutions continue their digital transformation journeys and peek to appeal to students’ preferences for adaptive, engaging learning experiences. Particularly necessary Gen Z, universities and professors necessity 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 be used more frequently across campuses”—Kanuj Malhotra, EVP of Corporate progress and President of Digital Solutions, Barnes & Noble Education

    “As automated technologies shape the workplace in 2019, it’s primary for companies to account about how the onslaught of technology will impact 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 be encountering AI on a daily basis, companies necessity to understand employee perceptions from the start. Before rolling out any current technology platforms, businesses necessity to be prepared to communicate the value the product will bring to the organization, how it will move employees for the better, and the positive impact it will fill on productivity and engagement. In doing this, companies will set their organizations up for success when implementing current technologies”—Andee Harris, President, HighGround/YouEarnedIt

    “We foretell artificial intelligence will become more prominent in the insurance industry in 2019 as more insurtech companies and carriers utilize the technology in their customer savor strategies. At the very time, they also don’t believe that AI will replace the human insurance agent in the current year or in years to come. Though machine-learning models can be used to succor agents become better advisors to their customers, the human finger will always be primary in insurance”—Jeff Somers, President, Insureon

    “As AI continues to be more prevalent, it is undeniable that automated decisioning will replace traditional white-collar workers. This means AI systems will be making the decisions instead of humans for anything from approving loans or deciding whether a customer should be onboarded to identifying corruption and monetary crime. This is several from Robotic Process Automation (RPA), which simply emulates human decisioning. Instead, accurate AI systems will fade beyond human capability. They can also hope to remark greater understanding in the boardroom about what AI really means—including hard-nosed figures around competitive advance, reducing costs of operations and removing headcount. hope to remark 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 great focus of machine learning and its superset artificial intelligence will be on understanding content. AI will be used to filter out what is actual and what is not, what is commandeer and what is not. And while strides will be 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 fill a lot of attention in 2019”—Sameer Kamat, CEO, Filestack

    “Alongside the expand in require for AI within companies, we’ve also seen a continued shortage of trained data scientists. To expand the adoption of AI, AI platforms will necessity to empower traditional developers with tools to enable them to create machine learning models faster, as well as ensure they fill an integrated platform that will allow developers to annotate and label the data needed to ameliorate the accuracy of their models”—Dale Brown, VP of industry Development, figure 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 miniature amounts of monetary value / perks. For better or for worse, this gives companies who operate in the country a massive edge over companies here. If they want to compete, they necessity a solution to the data problem, and fast”—Hanns Wolfram Tappeiner, Co-Founder and President, Anki

    “The necessity for AI-enabled search and analytics solutions will become more prevalent in 2019. Traditional search functions will give course to the emergence of cognitive search, resulting in AI-driven solutions to succor enterprises un-trap their data and derive more valuable scholarship and insights. By 2020, cognitive search will streamline information to the point of reducing reactive searching by 20%--and organizations necessity to be ready for this in the year ahead”—Kamran Khan, Managing Director of Search and Content Analytics, Accenture Applied Intelligence

    “In 2019, we’ll remark 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 current retail opportunity, it also uncovers how that opportunity was identified in the data. It also provides retailers with an opportunity to check their data—and any public or aggregate data they pull in—to ensure AI isn’t making sinful assumptions under the adage ‘garbage in, garbage out’”—Nikki Baird, Vice President of Retail Innovation, Aptos

    “With an increasing availability of artificial Intelligence (AI) capabilities driven by cloud computing, AI will configuration its course into video conferencing in 2019 in everything from meeting room activity analysis and efficiency, understanding participants’ reactions to given messaging, automated joining procedures, and platform utilization. As organizations hunt to optimize their services and toil 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 remark the lines between audio content and written content disappear. complete audio will be searchable in the very manner the text-based web is today, and complete text will be 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 be able to fill a human-like conversation with your assistant, who has instant access to complete the scholarship in the world”—Johan Billgren, Co-founder and Chief Product Officer, Acast

    “In 2019, I foretell that it will become clear that the information and analytics systems that are on the bleeding edge of creating and policing truth—particularly AI-based technologies—are themselves section of the ‘bias’ problem. This will lead to the start of a fundamental shift in how they account 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 enforce the integrity of their underlying data sets and analytics methods”—Kris Lovejoy, CEO, BluVector

    “I hope 2019 will be the year we’ll remark an explosion of production applications leveraging artificial intelligence. The tools and models available on the market are ready for prime time, which means it will be far easier for companies of complete sizes to deploy intellectual applications. Along with that, we’ll also remark further soul-searching and advocacy around what role firms providing machine learning services should play in ensuring the ethical exercise of their products. AI experts carry a majestic deal of clout in that conversation, since the services ultimately won’t toil without their help. It will be captivating to remark 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 savor a leap ahead of their less innovative competitors. There will be clear winners, and clear losers in terms of both market partake and margin growth. The investments made in automating data ingestion, and building 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 whole organization”—Dr. Anil Kaul, CEO and Co-Founder, Absolutdata

    “Organizations will savor further disillusionment with complete the vague hype around machine learning and AI. They’ll increasingly realize that accurate predictions require not just a great volume of training data, but a particular type—behavioral metadata. Analysis of this data can be mined to better shine a spotlight on  what’s used and what’s useful. This is the very 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 remark a stout appetite emerge for this nature 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 toil 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 discover the critical resources needed to inform their buying and selling decisions. AI-powered innovation will anticipate sales challenges and buyer objections and extract insights to better foretell success during the buyer-seller engagement. In the post-sales phase, AI can pinpoint best practices and identify factors affecting customer savor to succor expand 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 be increasingly used to dynamically modify and serve creative content based on what’s germane in a given context, for a given audience. The goal and opportunity is to meet the audience where they are—whether being served content in a browser, interacting with a physical product and launching a digital savor 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 savor to configuration elastic 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 exercise cases, 2019 will remark those applications consequence into practice. AI will fundamentally change the course consumers interact with brands, and I hope that to become abundantly clear in 2019 through current levels of personalization. Brands that adopt the exercise of AI to optimize the customer savor will remark the implementation originate to impact their bottom line”—Adam Goldenberg, Co-CEO and Co-founder, TechStyle mode Group

    “Thus far, the capabilities of AI fill been zeroed in on solving the problems they know—more efficiently extracting patterns and insights from massive data sets we’ve always been familiar with historically. Next year will bring the greater potential of AI into focus, demonstrating its capacity to digitize things that previously couldn’t be digitized and interlard completely current data sets that change the status quo and solve problems they didn’t know they could. Video AI will be a majestic example of this, helping spin physical settings into actionable data that companies in retail and other sectors can utilize to strengthen customer experiences dote never before—and unlock current services and customer value they may not fill even thought about bringing to market”—Michael Adair, President and CEO, deep North

    “Personalization has long been the holy grail for marketers and everyone agrees results ameliorate by knowing what customers supervision about and engage with. Today’s marketers fill more behavioral data than ever, but often don’t fill the time, resources or scholarship to properly exercise it to tailor their approach. In 2019, AI technology will address this issue, ultimately benefiting customers and industry results. As marketers test machine learning, creative strategy will necessity to evolve”—Cody Bender, Chief Product Officer, campaign Monitor

    “2019 will be a pivotal year for AI in the workplace—it will be the year they journey from conversation to impact. We’ll originate seeing AI integrated more deeply into the day-to-day employee savor through things dote digital assistants, whether it’s voice, SMS or another channel. I account we’ll also remark AI-based digital assistants more front-and-center for current employees, taking a larger role in processes dote 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 faculty to consistently replicate results over time, location and assay—hence the necessity for rock-solid character systems and standards that provide quantifiable reliability over cohorts. As they journey into 2019, they are beginning to remark actual results on how they can apply artificial intelligence to a traditionally painfully laborious and human-driven process that used to pick 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 complete the course to instrument ingestion—is drastically minimized and hence the results become supremely reproducible, and where potentially actionable and clinically germane information is derived in mere seconds”—Aldo Carrasco, CEO, InterVenn Biosciences

    “Our fascination with the exercise of computing power to augment human decision-making has likely outgrown even the tremendous advances made in algorithmic approaches. In reality, the successful exercise of AI and related techniques is silent limited to areas around image recognition and natural language understanding, where input/output scenarios can be reasonably constructed, and that will not change drastically in 2019. The concept that any industry 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 primary ethical questions and is something they necessity to pay proximate 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 clarify and justify. Appealing such decisions is even harder when they descend 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 be held accountable for the impact of decisions their industry makes”—Christian Beedgen, Co-founder and CTO, Sumo Logic

    “In 2018, they saw many examples of adversarial AI algorithms attempting to fool humans, dote Buzzfeed’s video of President Obama delivering fake sentences in a convincing fashion. Soon they can hope to remark this concept evolve into a current class of cybercrime in which malicious content is automatically generated by AI algorithms—a current 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 configuration of fake URLs or HTML webpages. Next year, I hope 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 passionate topic in 2018 – businesses are increasingly seeking insights into their data through the power of AI, but in order to pick up those insights, they must partake 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 remark 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 course of encrypting data so that third parties can operate on the encrypted data and silent exercise 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 hope innovations around AI privacy and encryption to explode next year”--Casimir Wierzynski, Senior Director, Office of the CTO, artificial Intelligence Products Group, Intel

    "AI will configuration a huge impact on cybersecurity by increasing exponentially the faculty to detect rogue patterns and foul play, and in time will ameliorate significantly on human faculty 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 be viable for AI to eliminate security breaches entirely. This is a classic case of the trade-off between the acceptable rate of counterfeit positives (where a legitimate activity is blocked because it’s erroneously assessed to be malign) and counterfeit negatives (where a defame activity isn’t identified as such). To drive the counterfeit negative rate proximate to zero, an unacceptably towering rate of legitimate activities would fill to pick up 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 be easily tailored to customer needs. In 2019 and beyond, AI will increasingly exist on the edge, as concerns around privacy, security and latency configuration 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 also witness a growing require for more practical AI that can be mainstreamed affordably, without requiring massive hardware or cloud, and without compromising on character 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 moving barbecue items to prominent positions as summer approaches. But now it will be viable for more granular changes. For example, the baby food and Hamburger Helper moves to the proximate cap on Sunday-Tuesday, but chips and beer journey to the proximate cap on Thursday-Saturday. Roll away a couple of center-store fixtures on the weekend to configuration room for the olive bar installation. Flip the store layout by day of week”—Tony Rodriguez, CTO, Digimarc

    “Artificial and augmented intelligence will succor address their nation’s mental health crisis. According to the National Institute of Health, nearly one in five American adults suffers from a configuration of mental illness. There are significant barriers to seeking care, including stigma, affordability and access. In 2018, the U.S. advice cycle was dominated by towering profile notable suicides, the constant drumbeat of emotionally charged stories in the news, and divisive midterm elections. That brought primary conversations about mental health and depression to light for many people, thereby reducing the stigma. AI will be able to succor scale access to qualified providers and configuration it affordable for people to pick up the prerogative level of care. Combined with technologies dote teletherapy and telepsychiatry, it will play an increasingly primary role in improving collaborative care. AI tools and data-driven algorithms will succor clinicians track patient histories, identify times of crisis, and provide personalized supervision for individuals to reduce symptoms and ameliorate outcomes”—Karan Singh, Co-Founder,

    “AI will power cyberattacks more and more. In fact, it is reasonable to assume that armies of AI hackers will fill greater, faster penetration with more automation, allowing hackers to achieve greater success executing cyberattacks. Cyber defense must peek 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 counterfeit positives by up to 91%. Enterprises will hunt innovative solutions that enable them to tarry ahead of the next unknown threat”—Gilad Peleg, CEO, SecBI

    “In 2019, AI technology will finally be able to succor not just identify attacks, but also provide evidence-based guidance on how security teams can and should respond to threats. In many situations, AI will be 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 assault identification to remediation by eliminating many of the challenges and burdens that fill traditionally slowed-down the process. The implementation of such AI-driven technology will result in a major risk reduction for enterprises of complete sizes”—Eyal Benishti, Founder & CEO, IRONSCALES

    “Machines will originate to understand cause and effect—today, when machines (such as chatbots and virtual assistants dote Siri and Alexa) respond to us, it’s purely based on correlations. They carry out not fill an understanding of causation. But as machines are getting more disparate sources of data, they will originate to better understand the causal relationship between a great set of variables. As humans, they learn about cause and consequence over time through sheer common sense. In 2019, we’ll remark this arrive 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 also 60 Cybersecurity predictions for 2019 and 20 More AI Predictions For 2019

    Make the mainframe system section of your industry continuity process | actual questions and Pass4sure dumps

    Mainframes pose a significant challenge for industry continuity planning. In spite of the inherent computing power and resilience core to mainframe availability, the systems can fade down, and it is hard to create a recovery environment.

    Modern mainframes, dote the IBM zEnterprise EC12, host cloud computing, transactional data processing and majestic data analytics. But many mainframe shops silent handle their industry continuity (BC) plans dote it's 1964. Mainframe systems are sophisticated and resilient, and in spite of these characteristics -- or perhaps because of them -- many deployments are ill-prepared to address physical disasters and quickly restore operations.

    A industry continuity course helps businesses recognize potential disasters, pick necessary steps to prepare for them, and outline a scheme to recover and resume operations in a timely manner. BC involves the entire IT infrastructure from mainframe to conventional servers, networks, storage, workload performance and people and processes. Any friendly industry continuity process recognizes the risks, identifies what needs to be protected (such as data or entire systems), determines the current level of protection and how that differs from the needed protection, and takes the steps to mitigate risks or proximate the protection gap.

    The very basic principles of the industry continuity planning process apply to mainframe deployments, but the platform creates more challenges than x86 servers or as-a-service cloud apps. Organizations may add a second mainframe, fade to the cloud, update legacy applications to x86 platforms or pick a different approach.

    It's complete about the apps

    Where will mainframe workloads race if the system is damaged or destroyed? The actual "gotcha" is that a mainframe system is so powerful and responsible that there is nowhere else to migrate or restore critical workloads.

    A typical industry might own hundreds or even thousands of inexpensive x86 servers -- ample opportunity for system redundancy across multiple locations. By comparison, companies rarely deploy more than one mainframe, raising sedate concerns for workload migration or recovery.

    Mainframes are substantially different than x86 servers. Mainframe applications are based on languages dote COBOL with long trails of development. There may not be an effortless target restore platform for industry continuity -- you can't just spin up an IBM EC12 workload on a Dell PowerEdge R920 Windows server.

    Some businesses configuration a strategic investment in a second mainframe for a secondary facility -- this makes sense if the cost of an additional mainframe is less expensive than lost industry or regulatory breaches from an outage. account partnering with a third-party mainframe outsourcing provider for a backup system. This requires extensive testing and refinement to ensure that your current workloads and data stores are fully compatible with the provider's equipment, possibly requiring software revisions or updates. A mainframe provider can ensure the level of security and attention without the capital investment in a current mainframe on-site in the DR facility.

    Redesigning mainframe workloads to exercise x86 servers can be difficult, but is a viable option for BC. The application is converted to race on Unix, Linux or Windows and re-constructed for distributed server architectures. reverse engineering tools help, but hope to carry out sedate software progress for refinements, optimizations and bug fixes. Mainframe data stores must also transform into formats suited to the re-architected application and operating system. No matter how you approach it, transitioning an enterprise application off a mainframe system takes time and money.

    Boost mainframe BC

    Business continuity planning is an increasingly complex endeavor; it's more than just performing and verifying critical backups.

    Mainframes typically host critical applications that necessity more planning than tolerable to ameliorate redundancy and minimize disruptions. Mainframe users, or their industry partners and customers, frequently descend under regulatory compliance requirements. Regulations impose obligations in data storage, processing and security, and configuration demands on ways the industry operates or protects itself.

    All of these complex considerations can be streamlined through tools designed to organize and automate BC. For example, IBM Tivoli industry Continuity Process Manager centralizes the continuity of computing services, helping IT administrators plan, manage and test preparedness. It also simulates issues to succor staff the industry continuity process, and measures the reaction to ensure that continuity performance meets industry goals.

    Other tools dote IBM's Tivoli System Automation (TSA) succor businesses develop and implement automated responses to foreseeable problems, allowing for ongoing monitoring and maintenance processes. Tools dote TSA advocate cross-platform applications, data storage and network devices, with workload procedures that comprehend mainframes and other hardware.

    While experienced staff can configuration productive exercise of these tools, plans and automated responses should be frequently reviewed and revised with a mindful consideration of changing industry needs. Don't exercise these tools as an excuse to avoid recruiting, training or contracting with mainframe experts.

    Good BC plans cannot be static. complete BC plans should be reviewed regularly and thoroughly tested. The process should be updated periodically or as situations change. For example, your long-established data headquarters may be located on a flood plain, but the risk wasn't sedate until a weakness occurred in a nearby levy. Even with regular attention, the BC course must be realistic and cannot accommodate every viable situation cost-effectively.

    Unisys Delivers perpendicular Industry Solutions Built on Unisys 3D-VE Methodology and IBM Software | actual questions and Pass4sure dumps

    LONDON--(BUSINESS WIRE)--Nov. 2, 2005--Unisys Corporation (NYSE:UIS) today announced that it is teaming with IBM in several public sector procurements for the joint progress and delivery of integrated eligibility solutions for status health and human services programs. Also, Unisys will incorporate IBM software platforms and tools into Unisys-integrated industry solutions for companies in the insurance industry, as well as identity access and management (IAM) solutions that succor enterprises in a broad scope of industries manage security for critical industry information.

    These current solutions are among the first developed under an expansion of the long-term relationship between IBM Software and Unisys. This includes a current global license agreement for Unisys to add the IBM Rational Software progress Platform to the foundation of the Unisys 3D Visible Enterprise (3D-VE) strategy, integrate IBM WebSphere industry process modeling capabilities into Unisys 3D-VE solutions and employ IBM's Tivoli software for identity management, access management and federated identity management for Service Oriented Architecture solutions.

    Unisys 3D-VE strategy is designed to enable a client to remark the links among industry strategy, processes and IT requirements throughout the entire enterprise and gain unprecedented visibility into the impacts and costs of strategic decisions at complete levels even before making them.

    "Through its 3D-VE strategy, Unisys is among the first systems integrators to extend the full suite of IBM Rational, WebSphere and Tivoli platforms and tools to apply visual modeling to industry processes," said Daniel Sabbah, generic manager of IBM Rational. "We're excited to team with Unisys in delivering powerful solutions that address the specific needs of customers across a host of perpendicular industries."

    The expanded relationship with IBM Software builds upon Unisys newly announced course to deliver solutions for secure industry operations. To advocate this strategy, Unisys is aligning with an exclusive list of the world's leading technology providers to deliver customer solutions that harness its partners' expertise with the power of 3D-VE.

    "We remark tremendous opportunities to leverage the stout alignment and compatibility of the Unisys 3D-VE and IBM service-oriented architecture strategies to succor companies achieve more flexible, agile, efficient and secure industry and IT operations," said Frederick Dillman, chief technology officer at Unisys. "Unisys and IBM partake the very goal: helping companies gain enterprise-wide visibility to more closely align their present and future IT investments with their industry processes."

    Key initiatives for Unisys combining 3D-VE and IBM software comprehend the following:

    -- Health & Human Services (HHS) Solution. Developed with extensive input from health and human services practitioners, this solution can be deployed in a broad scope of configurations to succor organizations achieve greater IT visibility and industry process alignment. The HHS Solution architecture consists of a comprehensive reference application, an application progress environment and a component-based reference model.

    -- 3D-VE Blueprint for Insurance. This jointly developed solution covers complete commonly used processes for product modeling and administration of insurance policies, particularly in the life and pension and property and casualty markets. The solution consists of Unisys 3D-VE Blueprints covering requirements models at the industry process and systems layers, along with executable code in the configuration of native J2EE components for deployment in IBM Rational and WebSphere environments. The IBM WebSphere platform allows insurance companies to deploy a elastic application architecture while retaining their mainframe and database infrastructure.

    -- Identity and Access Management (IAM) Solutions. building upon the IBM Tivoli security product suite, Unisys delivers an industry-leading IAM integration methodology that helps customers apply technologies such as enterprise directory, meta-directory, single-sign-on and provisioning systems to efficiently and securely provide access to the organization's digital resources. The joint IBM and Unisys methodology provides seamless integration for addressing IAM projects, decreased time-to-deployment, faster realization of benefits and the faculty to integrate federated identity management solutions in customers' IT environments.

    About Unisys

    Unisys is a worldwide technology services and solutions company. Their consultants apply Unisys expertise in consulting, systems integration, outsourcing, infrastructure, and server technology to succor their clients achieve secure industry operations. They build more secure organizations by creating visibility into clients' industry operations. Leveraging Unisys 3D Visible Enterprise, they configuration visible the impact of their decisions--ahead of investments, opportunities and risks. For more information, visit

    RELEASE NO.: 1102/8588

    Unisys is a registered trademark of Unisys Corporation. IBM, IBM WebSphere, Rational and Tivoli are trademarks or registered trademarks of International industry Machines Corporation. complete other brands and products referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders.

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    Publisher : Pearson (Feb 2018)
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    Price : $80.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $77.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $76.00
    By Peter W. Cardon
    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $39.00
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $64.00
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