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A2010-023 - Assessment: IBM Tivoli Support Provider Tools and Processes - BrainDump Information

Vendor Name : IBM
Exam Code : A2010-023
Exam Name : Assessment: IBM Tivoli Support Provider Tools and Processes
Questions and Answers : 53 Q & A
Updated On : January 16, 2019
PDF Download Mirror : A2010-023 Braindumps
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A2010-023 exam Dumps Source : Assessment: IBM Tivoli Support Provider Tools and Processes

Test Code : A2010-023
Test Name : Assessment: IBM Tivoli Support Provider Tools and Processes
Vendor Name : IBM
Q&A : 53 Real Questions

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IBM Assessment: IBM Tivoli Support

IBM grants one hundred+ SAP S/4HANA enterprise Transformations | killexams.com Real Questions and Pass4sure dumps

IBM functions leads the manner in assisting consumers speed up modernization of commercial enterprise programs, with more than one hundred valued clientele now are living 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 speed up their digital reinventions.

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

extra

As agencies look to simplify increasingly complicated company approaches and improve their know-how infrastructure, SAP S/4HANA allows businesses to enable new 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 financial backbone, a primary digital platform which optimizes fiscal strategies and harmonizes information centrally. Coupled with their e-commerce transformation,  these new capabilities will help 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 right approach to SAP S/4HANA that helped make sure a continuous direction to enhanced company efficiency, greater worker experience and operational efficiencies to support future increase.  

shoppers throughout industries are deciding on pre-configured trade options. in keeping with IBM research, pre-configured industry options have 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 have an effect on industry solutions – designed to compile and raise present IBM and SAP functions to support accelerate SAP S/4HANA adoption. These options, mixed with IBM's influence assessment, support groups increase satisfactory and success within the change method.

"SAP S/4HANA can represent a big shift in a company's entire business mannequin, enabling them to transform approaches, combine new know-how and right away flip their focus on new market alternatives. the way corporations put in force the platform is essential and has a big have an impact on on their enterprise down the road," pointed out Mark Foster, Senior vp, IBM world company functions.  "All valued clientele have different starting points and necessities to pressure their digital transformations. Having informed hundreds of purchasers and accomplished a hundred transformations, our 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 support pressure their digital transformation, including:

  • Cleco, a regulated utility business, embarked on the intelligent commercial enterprise event leveraging SAP S/4HANA as a method 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 equipment to raise manufacturing effectivity.
  • Logoplaste, a leading plastics packaging manufacturer, mandatory to put in force a global company administration device that would carry its records right into a single automated records platform across procurement, production and planning in order that the enterprise could take 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 new strategy gave the business 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 business 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 our investments into business cost property support our joint purchasers to make the intelligent commercial enterprise a fact. Aligning the SAP mannequin company and IBM have an effect 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 speed up valued clientele' digital transformations across many industries.  The partners proceed to enhance their clever commercial enterprise platform to bring new insights and capabilities that speed innovation. lately, IBM added an accelerated Bluefield migration strategy that automates the technique and conversion to deliver a fast and versatile path to SAP S/4HANA transformation. furthermore, IBM have an effect on business 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 our boom with SAP's S/4HANA digital core and IBM as our transformation partner," spoke of Edward Wong, SVP CIO, smart & last. 

    "a major a part of our resolution to flow to SAP S/4HANA now factored on our overview of the IBM have an effect on business options," talked about Mark Northrup, frequent manager and Chief suggestions Officer, Cleco. "From our analysis, the extent of pre-configured industry procedures and accelerators has allowed us to start birth our implementation, show our stakeholders a working equipment on day one and will speed up our typical time to price."

    "SAP S/4HANA offers the enabling know-how for our enterprise method. we are able to take into account how our processes are operating, increase first-rate and reduce the volume of wastage. in the future, we will for example show that bottles have handed purchasers' requisites by using displaying them how we manage the creation process in real 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 new equipment that will power company operations into the longer term. because of SAP and IBM, Logoplaste features method transparency from shop-floor to accurate-flooring that permit us to make enhanced counsel-primarily based selections that we couldn't make before."

    "We at the moment are dwelling in an international the place buyers are stronger-advised than ever. We see that the ultimate option to win sales and nurture 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 turn into the frightened system that collects and analyzes data from throughout the business, and transforms that records into actionable insight. Our determination-makers will have up-to-the-minute counsel at their fingertips to make stronger-recommended strategic selections, improving the accuracy of our earnings orders and offering the optimum stage of client service. because of our IBM and SAP options, we are reaching the digital transformation a good way to support us make stronger our competitiveness in a quick-moving industry." 

    About IBMFor extra guidance about IBM capabilities, consult with https://www.ibm.com/capabilities.For extra information about IBM's SAP functions, discuss with https://www.ibm.com/features/sap.

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

    Media Contact:

    Marisa ConwayIBM Media Relationsconwaym@us.ibm.com

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    Cyber security organizations throughout the five Eyes intelligence neighborhood have 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 State safety.

    In a concerted world public relations push set up on Friday, corporations across the U.S., Britain and Australia trotted out a refrain of senior officers to bang the financial espionage drum towards chinese state 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 charge in the neighborhood, taking to ABC radio to clarify the urgency and gravity of the chinese state sponsored hacking threat, advising organizations and the community to overview protection after they “come back from a well-earned Christmas destroy”.

    Pressed on the awkward timing of the big 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 noted 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 effort 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 include an expanding number of arrests and indictments, most especially Huawei's Chief financial Officer Meng Wanzhou.

    in a single 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 State security’s Tianjian State 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 refrain 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 separate commentary by means of the ACSC, MacGibbon said the Cloudhopper incident demonstrated the should end “complacency in boardrooms round Australia when it comes to ensuring enterprises have more suitable cyber safety protections in region”.

    “here's a catalytic adventure for Australia and a chance for all parts of our financial system to elevate the stages of cyber protection for all Australians, to make Australia the most secure place to reside, work and play on-line,” he stated.

    “corporations need to consider the inherent dangers in cyber-enabled know-how and to have the appropriate techniques in place to control these dangers.”

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

    IBM, HPE, DXC on defensive

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

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

    while cybersecurity enterprises and government companies have issued multiple warnings in regards to the Cloudhopper probability because 2017, they haven't publicly disclosed the identification of technology corporations whose networks have 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 manipulate their advice expertise operations, together with servers, storage, networking and support-desk guide.

    Cloudhopper targeted MSPs to access customer networks and steal 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 have been breached.

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

    “IBM has taken wide counter measures global as a part of its continuous efforts to offer protection to itself and its consumers towards at all times evolving threats,” the business noted in an emailed statement.

    “We take accountable stewardship of client data very severely and don't have 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 new business, DXC technology.

    “The safety of HPE customer records is our true 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 confirm the names of different breached know-how firms or establish any affected customers.

    The sources, who have 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 attack as currently as this summer, and HPE conducted a big breach investigation in early 2017, the supply said.

    The attackers have 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 new challenging drives and clean working techniques on infected computers, noted the person established with the effort.

    One senior intelligence professional, who declined to identify any victims who have 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 get 30 distinct items for my browsing list, I may go to 15 diverse stores or I could go 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 branch 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 have an impact on of these breaches.

    “a number of MSPs had been affected, and naming them would have 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 | killexams.com Real Questions and Pass4sure dumps

    information

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

    huge Blue claims these options and capabilities will support consumers manipulate 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 promise of SANs for our customers -- interoperability between dealer programs and actual records sharing," mentioned Linda Sanford, regularly occurring manager, IBM Storage Subsystems Division in a statement.

    As a part of the initiative, IBM (www.ibm.com) is setting up more than 50 SAN answer facilities with its business partners, SAN testing facilities in Montpellier, France in addition to in Makuhari, Japan, and a SAN and Storage capabilities consulting observe inside IBM global services.

    IBM world capabilities is delivering new capabilities to aid consumers enforce SANs and different storage solutions. These include business Storage evaluation, Planning and Design capabilities, Implementation features, and aid features

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

    the brand new 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 new processor to gain efficiency benefits. The greater Shark utility will support advanced copy functions and native fibre channel connectivity as these features develop into purchasable.

    IBM is additionally announcing new 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. (www.tivoli.com) will announce Tivoli LAN-free SAN administration software, enabling suggestions to be shared throughout distinct application courses, servers and storage gadgets.

    IBM also introduced a SAN answer using a cluster of two Netfinity servers with fibre channel connections and Legato methods Inc. (www.legato.com) 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 all medium and big companies. – Thomas Sullivan

    concerning the creator

    Scott Bekker is editor in chief of Redmond Channel associate magazine.




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    120 AI Predictions For 2019 | killexams.com real questions and Pass4sure dumps

    Me: “Alexa, tell me what will happen 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 state of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably get the correct action the human intelligence behind it programmed it to perform.

    What will be the state of AI in 2019?

    The following list features 120 senior executives involved with AI, all 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 form or another by millions of bank customers around the globe and will only get better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I see a big uptake in the number of customers that will rely on AI to ‘drive’ their finances and take automated actions to help them reach their financial goals. To deliver effective Self-Driving Finance, financial institutions will require specialized forms of AI for each of their customer segments such as retail, small business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed subject matter knowledge 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 have only limited amounts of data, but also require specialized data, organizations will come to realize that they need tools to easily create quality AI data internally. This quality over quantity approach will require organizations to take stock of the data they have and ask 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 new 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 real world”—Max Versace, PhD, CEO and co-founder, Neurala

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

    "In 2019, we will start to see technology that will allow designers to talk to computer programs powered by AI to redesign, optimize and lightweight parts made by 3D printers in real time. The designer will simply articulate the design goals and material parameters and the AI will do the rest—exploring nearly infinite design permutations based on existing design concepts. More power will be put 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 begin to see AI deliver meaningful value to the enterprise and get us closer to the Holy Grail of AI, which is helping people at all levels of an organization do what they do more effectively and efficiently, while uncovering new opportunities and new ways to work”—Josh James, Founder and CEO, Domo

    “While B2B providers have been slow to adapt to the high 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 need to keep pace by using machine learning and AI to offer a personalized experience beyond the first impression, which extends to other assets such as technical documentation, community portals, and chatbots”—Gal Oron, CEO, Zoomin

    “In 2018 we saw a great deal of hype around AI in healthcare but we also saw it become a reality—in everything from predictive analytics for chronic disease management, to workflow enhancement in radiology as well as administrative and financial use cases that bring operational efficiency.  In 2019 we are going to see voice and video, coupled with AI, being used to help accelerate the shift of the point of care from the hospital, to the patient, wherever they are. The convergence of AI with 5G will also accelerate the development of digital therapeutics that are more personalized, adaptive and take advantage of AR and VR. Mental health and substance abuse treatment will be where we see 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, General 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, we expect 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 part of the everyday shopping experience as existing stores will become automated, driving supply chain processes, delivering seamless checkout and enhancing customer engagement”—Michael Gabay, CEO, Trigo Vision

    “AI will accelerate the end of ownership.” Today, we don’t own movies or music anymore—we subscribe to Netflix or Spotify. Tomorrow, we 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 see that trend happening in transportation and consumer electronics—cars, scooters, washing machines, coffee makers, thermostats, etc. But soon you’ll start seeing it happen everywhere—tables, chairs, floors, walls, clothes. As a result, we won’t need to own anything. We’ll simply subscribe to services: housing services, food services, transportation services, furniture services, clothing services. We’ll be living in a true Subscription Economy”– Tien Tzuo, CEO & Founder, Zuora

    “Automation plays into the hands of a cyber attacker, allowing him to use simpler tools to gain access and infiltrate networks. However, automation used in defense is not creating anywhere near the same 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 false positive problem is resolved, automation is not full-proof. Instead, automation should primarily be leveraged pre-breach, serving as a proactive defense mechanism to help 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 our 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 begin transitioning to distributed and autonomous systems closer to the source of inspections, making inspection data collection more efficient and safer”—Ashish Jain, Managing Director of Data Sciences, GE Ventures

    “Artificial Intelligence (AI) and Machine Learning have been hot topics for a while, but that will begin 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. We will see the focus shift from AI to 'AI-driven' results as companies look for real business impact from AI tools. The technology will be less important than the business insights it delivers”—Sean Byrnes, CEO and co-founder, Outlier

    “The consumer's understanding around AI will shift dramatically. We will no longer associate AI with futuristic robots and self-driving cars, but rather productivity tools and predictions to help 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 we can’t rely on them to lead an industrial revolution. Everyone within an organization needs to have AI skills, from product managers to business analysts. The death of the data scientist is the pinnacle of this revolution”—Aman Naimat, CTO, Demandbase

    “Some of our AI emperors have no clothes. For years, hot 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 new wave is on the horizon—AI startups that generate proprietary data every time they're used. These startups, which leverage what we call Coaching Networks, are powered by algorithms that forever improve 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, General 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 help 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 big leap in unsupervised machine learning in the near future. Finally, I we will see companies using AI to train AI. Instead of data scientists trying to experiment on which AI models work better for real world problems, companies will let AI do the work for them. This will help AI outperform humans in many new tasks”—Yaron Hadad, Chief Scientist and Co-Founder, Nutrino

    “If we want to create AI which is actually adopted by humans, it will have to be less and less ‘artificial,’ and more and more ‘intelligent,’ meaning it will have to take 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 have to become more and more anthropomorphized. And just as the human body is able to heal itself, we will also expect 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 idea 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 we are skeptical about broad, systems-based uses of artificial intelligence promising unspecified insights”—Yonatan Adiri, Founder and CEO, Healthy.io

    “In 2019, not only will developing more robust and sophisticated AI algorithms take center stage, but as these AI algorithms become more unique and effective, they will also grow in value and owners will have to protect their substantial investment. Companies are spending millions to develop AI, and they are often at the heart of business growth, yet new 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, we will have to be deeply intelligent about protecting our Artificial Intelligence”—Alon Kaufman, Co-founder and CEO, Duality Technologies

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

    "In 2019, the global lending sector will see an uptick in AI that can predict financial 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 new financing opportunities that arise throughout a business’s lifespan, as it grows and improves. This same 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 analyze predictionary data differently. The Autonomous Vehicle industry will move away from object fusion and towards raw data fusion, which enables AVs to better interpret movement, speed, angle, and trajectory, and provides rich data to predict 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 real estate are comprised of an intricate web of interactions that affect every decision, and AI technology is now mature 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 new industries that were previously off limits. We see asset managers looking to develop new 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) still aren’t commercially available, 2019 will be the year that they take 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 improve to a level suitable for all road conditions. Simultaneously, the types of data collected for AI will be broadened to include non-visual data. Better data means better AI and safer AVs”—Boaz Mizrachi, Founder & CTO, Tactile Mobility

    "As more businesses rely on AI to fuel their own products, services and data-driven marketing innovations, bad actors across the digital ecosystem will utilize similar capabilities to increase 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 business decisions—leading to a significant competitive advantage"—Ran Avrahamy, VP, Global Marketing, AppsFlyer

    “AI research and applications are proving increasingly important in healthcare, improving patient outcomes through a more personalized, data-driven approach. Just as big 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 small data that can optimize an individual’s personal care and the big data that can uncover solutions with a global impact”—Dana Chanan, CEO and Co-Founder, Sweetch

    “2019 will be a pivotal year in the way 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 severe challenges such as traffic, pollution and lack of parking space, in 2019 they will have far better visibility into the root cause—inefficiency of movement in urban areas. Understanding how people are 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 our need to move around, encouraging people to move together, and creating multimodality. In order to get there, cities will need visibility into such data, and AI is precisely the tool that will enable such visibility, fostering prediction capabilities and action points to significantly improve the way we 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 rely 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 lack of expertise. The demand 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 need to pay close 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 improve customer experience, profitability and remain competitive. In 2019, we will see emergence of new data sources (surveillance cameras, on-the-shelf-cameras, robots) and AI models for inventory management, better customer retail experiences, targeted marketing, and adding new capabilities such as self-checkout. The key challenge, however, is to develop and scale AI operations to thousands of retail stores that differ in planograms, camera models, and network infrastructure capabilities”—Atif Kureishy, Vice President Global Emerging Practices, Teradata

    "I expect we'll see AI-based attribution tools hitting their stride in 2019. In today’s digital environment, attribution continues to be a challenge—businesses are still piecing together data points from different platforms and many are still struggling to understand the full path to purchase—which marketing channels are driving revenue? What kinds of content help retain customers and at which stage of the customer journey? Where are customers falling out of the funnel? AI can sequence the customer journey together and identify when a customer comes to a company's site and leaves without converting. It's the businesses that adopt AI-powered attribution tools that will have a leg up on the competition"—Carl Schmidt, CTO and co-founder, Unbounce

    “The future of third-party data is critical for marketers to stay actionable and competitive in a fast-moving technology landscape. The culmination of high-profile corporate privacy scandals and new wide-sweeping data legislation has forced consumers to get 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 help marketers gather more insights surrounding how consumers use emerging technologies such as voice, location-based search and AI, so they can target them in a way 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 form is drowning out the fact that today, there is real value in AI tools that collect, organize and make 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 make people happier in their jobs – especially IT professionals. For enterprise IT, 2019 will be the year that AI will enable teams to move beyond simple task automation, to empower the robotization of entire processes. By tapping the applied collective knowledge 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 knowledge and experience than any single human could bring to bear”—Neil Kinson, Chief of Staff, Redwood Software

    “We are still far from having a bonafide ‘smart home’ and the primary roadblock is the lack of the essential link between sensing and action. Currently, we have a variety of technologies that offer a compelling vision of the future, but that vision is impeded by the fact that the devices are isolated, lacking context, and are thus unable to act autonomously: the consumer must still 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. We will see 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 see 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 ability to perceive and understand all things human. The ability to understand human emotions and cognitive states will become part of the criteria for evaluating AI, as companies make decisions on which AI solution to select for their workplace, and even as consumers decide between systems like virtual assistants or smart speakers to have in their homes”—Rana el Kaliouby, PhD, CEO and co-founder, Affectiva

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

    “As businesses increase their use of AI to extract greater value from their digital assets, metadata tagging will become an even more critical element of enterprise storage. This will bring more attention to object 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 single view of all 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 use 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 like Hadoop. The merger of Hortonworks and Cloudera was a first look into the projected value for Hadoop in 2019. Technology that was designed twenty years ago in an era of ‘small’ data will no longer support the modern, global, and dynamic enterprise. Data will still 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 have thrust the application layer under the security spotlight. As applications become increasingly sophisticated, their development also opens up increased vulnerabilities. While DevOps is racing to keep up with accelerated application development, it is becoming increasingly impossible to manually keep 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 begin to open source their internal AI projects and stacks, and I expect to see this accelerate in the coming year. The impetus for this is the same as in other industries such as the cloud that have moved strongly to open source—increased innovation, faster time to market and lower costs. The cost of building a platform is high, and organizations are realizing the real value is in the models, training data and applications. We’re going to see 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 help elevate in-store customer experiences. AI will be used to help stores elevate customer experiences and build loyalty in ways that were previously impossible. When customers shop online, they often receive personalized recommendations and offers. Retailers have tried in the past to use beacon technology to enable the same level of personalization, but beacons are largely considered a failure because they require specific app downloads, Bluetooth connections or other factors that vastly limit their usability. This problem will 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 offer customers the same 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 knowledge workers where AI and data analytics will play an increasing role in supporting and even making decisions. At the same time, the current misconception about all data analytics being AI will be more widely discussed, particularly with regards to the availability of sufficient, relevant and specific data to train algorithms and keep them ‘learning.’ This will lead to an increased focus on more advanced methodologies that can learn and adapt 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 turn to specialized providers that sit on crucial data resources to help them understand their unstructured data. For example, Bloomberg is building NLP libraries that are specific to the financial domain”—Gideon Mann, Head of Data Science, Office of CTO, Bloomberg

    “In 2019 we expect a significant move forward with frameworks and standards for measuring and testing bias in AI. We will see an increase in need for human judgement and, consequently, an increase in these types of jobs, standards, and protocols. My prediction is that momentum behind this will build as a result of enterprises seeking to mitigate risk in the wake of high-profile scenarios of things going wrong”—Jake Tyler, CEO, Finn AI

    “The traditional ‘break-fix’ approach to maintaining network quality of service (QoS) is no longer enough. End customers are now so dependent 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 see artificial intelligence (AI) emerge as the role of a fixer and optimizer to enhance IT operations. Initial applications will tend to focus on security functions, like DDoS attack mitigation and real-time automated path selection. Eventually, uses will include AI-defined network topologies and basic operations, which will help 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 get close any time soon due to the current applications of the technology. However, as AI starts to erode the need for humans in the IT helpdesk, we will see those ITDMs that wish to survive do what they should be doing anyway—grow, expand into higher value areas and maintain a close relationship with the business. Failing to evolve into this strategic leadership position will lead to ITDM’s extinction”—Ian Pitt, Chief Information Officer, LogMeIn

    “AI-powered bank ‘tellers’ will become the norm. Bank branch consolidation will give way to the next big trend—interactive kiosks. Using AI and data analytics, these ‘tellers’ will deliver personalized experiences matching users with the appropriate teller based on life-stage, transaction history and more. Many banks have already seen success with virtual assistants in their mobile apps. In 2019 we predict 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 get down to work beyond the hype and headlines. Practical AI will rule and be focused on making shopping easier, patient engagement better, lawyers smarter and cybersecurity stronger. We won't see autonomous cars that never crash but AI will augment workplace productivity in new and interesting ways in 2019”—Ram Menon, Founder and CEO, Avaamo

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

    “AI and machine learning (ML) have been the ‘silver bullets’ of the security industry for the past few years. Malicious actors are taking note. For instance, just like 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 same exact algorithms. Attackers can also poison the data that ML models use in training. Because algorithms need massive amounts of data to work, it can be difficult to weed out efforts to poison your learning set with false information. We believe a significant attack 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, we 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, we can expect 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 have been shown to be vulnerable to imperceptible perturbations in data, that dupe models into making wrong predictions or classifications. With the growing reliance on large datasets, AI systems will need to guard against such attacks data, and the savviest advertisers will increasingly look 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 see 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, we can expect AI to take supply chains from reactive in nature to prescriptive levels, helping companies get 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 decision support 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 small data (such as unusual genetic signatures) hidden in vast reams of big 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 take a split approach—more aggressive use of AI to automate repetitive agent after-call work and a more targeted approach with simple and high-volume self-service use cases”—Chris Bauserman, VP of Segment and Product Marketing, NICE inContact

    “The key word is cognitive load and how do companies reduce it by providing better guidance and overall automation that helps make it easier to use—RPA (Robotic process automation) is a great example of this and continues to heat up. As we move into 2019, RPA will become even more disruptive in how industries like retail, manufacturing, supply chain and even finance operate from the ground up. In 2019, we can expect to see more widespread introduction of software robots and artificial intelligence (AI) workers as organizations look 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 ability to process larger data sets constantly being updated with operational data. Fast 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 right data currency and quality, AI will move from special projects into production”—Raghu Chakravarthi, SVP of R&D and Support Services, Actian

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

    “Intelligent robotic process automation will emerge as business critical, as companies will require the high automation level necessary to become intelligent enterprises in 2019. Additionally, conversational AI will take automation a step further to automate businesses’ customer support with more intelligent chatbots. These two technologies combined are the next big milestones to achieve faster, more effective and more intelligent AI”—Markus Noga, SVP Machine Learning, SAP

    “Artificial intelligence (AI) will make it possible to remotely monitor our health and automatically suggest lifestyle changes that could help prevent diseases or spot them at the onset when they are much more treatable. We're already starting to see this with FitBits reminding us to hit our daily steps or diabetes technologies monitoring our blood sugar, but this is just the beginning. In 2019 we’ll see an increase in health wearables hitting the market that use AI to track a vast number of conditions like 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, type of actions conducted etc.). If these elements are factored in, this will help 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 we move into 2019, every telco operator in the US will have a strategy defined, and budget allocated, toward monetizing machine learning in operations. However, there is a shortage in talent that will affect everyone and strain companies’ ability to deliver, unless they have strong scaling strategies. There is a large pool of junior data scientists that will be the key to addressing these shortages and will do so in the coming years, but the learning curve will be felt in 2019. As a result of the current knowledge gap, applications democratizing AI and ML will see a large increase in demand but will likely fall short on their ROI due to misinterpretation of data”—Johnny Ghibril, VP of Data Science & Solution Architecture, B.Yond

    “Machine learning will continue to work 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, state manipulation, priming, and catastrophic forgetting will come (back) to light. Associated security issues will be fun to explore. On the societal side, some inherent social norms exposed by AI/ML will continue to shock. When machines learn from humans, they can pick up some bad habits and some morally suspect habits. Who knew we 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 business 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 tool to the set of approaches that companies can now deploy off the shelf and ontologies ability to link together diverse sets of data and draw conclusions from them, make an ontology-based system an easy start for enterprise and business organizations in 2019”—David Keane, Co-founder and CEO, Bigtincan

    “Enterprises have been so focused on the potential benefits of AI, that it’s become more buzz phrase than reality. Rather than focus on the buzz in 2019, businesses must focus on adopting AI applications and projects that offer near-term value to their organizations. To ensure success, they will need to put a plan in place, including identifying the groups and tools that can actually pilot or incubate new AI technologies to allow adoption enterprise wide. Gradual rollout after testing will help 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 see a huge spike in the exploration and adoption of ML/AI tools that can help develop mobile and web test scenarios without coding (codeless testing), to speed up the process of code validation and to provide a greater stability for the test code. These tools enable smart test recording with high degree of stability that is a huge boost to organizational productivity and agility. On the front of smart decision making and quality analysis, we will see 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 see an exponential increase in the number of research projects and companies building solutions that leverage AI to increase developer productivity. We expect that by 2020, all development will be assisted by AI co-developers that understand developer intent, suggest next best patterns and detect problems before applications go into production. This will enable companies to continuously improve 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 bad actors targeting employees’ and consumers’ inboxes (e.g. spam, phishing, etc.). As the technology advances in the coming year, it will work pretty well for the most part. However, its occasional mistakes will cause significant issues, like financial and reputational damage, for businesses. Most users will find slips in security utterly incomprehensible and security companies will have an especially hard time explaining the matter to customers”—Nathaniel Borenstein, Chief Scientist, Mimecast

    “Enterprises will focus seriously on data privacy initiatives to comply with EU laws (GDPR) or state laws (e.g., CCPA) in 2019, but probably for less obvious reasons. It is not so much the fines per se which can range 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 prevent such severe fines, which could produce significant financial distress or reputational damage. Separately, it should be noted that the usual risk-deflection method 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 moral foundation of their service. How they collect data, with whom they share that data, and what they end up doing with that data will increasingly need a litmus test for what is acceptable and not. That litmus test needs to be part of the culture of the vendor—it needs to come from the inside out. While this will feel too ‘touchy-feely’ and constraining to some vendors, it is absolutely necessary for long-term business viability to establish trust credibly across their user communities. Without transparency, there is no trust. Without trust, there is no data. Without data, there is no AI”—Ojas Rege, Chief Strategy Officer, MobileIron

    “2019 is the year that AI unlocks the tremendous value of productivity in the industrial world. More companies are coming to market with vertical solutions that require little know-how in training models or interpreting results. This focused approach can be used by anyone, and enables very quick time-to-value at large scale. This shift will increase productivity and safety and will open the doors for new business models throughout the industry, like Outcome-as-a-Service”—Saar Yoskovitz, Co-Founder and CEO, Augury

    “The biggest benefit of AI will turn out to be something that we think of as quintessentially human: being ‘good team players.’ While previous years have focused on individual algorithms doing things better than individuals, 2019 is about collections of algorithms starting to collaborate on complex tasks. With their speed, absence of ego and built-in altruistic tendencies, the early indications are that AI team performance will quickly outdistance their human counterparts”—Timo Elliott, Innovation Evangelist, SAP

    “AI offers healthcare a truly transformational opportunity, particularly in the arena of virtual care. What we’ve known as telemedicine is quickly becoming the analog past, while virtual care is the digital future—the next iteration of the industry, and AI will play a large role in this transformation. For example, complex algorithms can parse patient information, helping to direct them to the most appropriate level of care; natural language processing is advancing in a way that will make online interactions simpler and more effective; and smart systems can gather patient allergy, prescription history and health information to support safer and more effective prescribing. Best of all, with these AI tools in the hands of providers and healthcare organizations, the digital experience can enhance, rather than supplant, the patient-provider relationship”—Jon Pearce, CEO and Co-founder, Zipnosis

    “2019 is the year where we have everything in our hands to use digital technology; it will be the year that will differentiate the laggards and the leaders, providing competitive advantage to the forward-thinking organizations. The laggards still believe there is time, and will keep developing solutions in silos, making small 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 Big Data and AI to deploy solutions that fundamentally affect the full drug development life cycle; they will reverse the current trend—growth of drug development timelines by 25%, reaching a startling 12 years on average—and bring much-needed therapies to the market sooner”—Isabelle deZegher, Vice President, Integrated Solutions, PAREXEL

    “In 2019, society will push for the demystification of AI and demand 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 like a complete human, but rather a more explicit set of functionalities that can better automate simple tasks and augment people executing more complex actions. This will result in less fear of a machine takeover and greater acceptance of new 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 have always been available, but possibly leveraged a bit slower than needed over cloud platforms or traditional data centers. We’re already seeing this in the way airlines build and service airplanes, government defense agencies respond to hackers and how personal assistants make 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 take up has often been delayed by a failure to match these new capabilities with appropriate new workflows and SOC practices. Next year should see some of the pretenders—those claiming to use these techniques but actually using last generation's correlation and alert techniques in disguise—fall away, allowing the real innovators in this field to begin to dominate.  This is likely to lead to some acquisitions, as the large incumbents, who have struggled to develop this technology, seek to buy it instead. 2019 is the year to invest in machine learning security start-ups demonstrating real capabilities”—Stephen Gailey, Solutions Architect, Exabeam

    “Some existing applications that we may see 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 big 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 new breed of security data scientists will emerge in 2019. Preparing, processing, and interpreting data require data scientists to be polymath. They need to know computer science, data science, and above all, need to have domain expertise to be able to tell bad data from good data and bad results from good results. What we have already begun seeing is the need for security experts who understand data science and computer science to be able to first make 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 real 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 quality of software. In the past, we’ve designed delivery processes to be lean and reduce or eliminate waste but to me, that’s an outdated, glass-half-empty way of viewing the process. In 2019, if we want to fully leverage ML/AI, we need to understand that the opposite of waste is value and take 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 make AI tools and platforms easier to implement and put in place, and the difference 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 take over entire markets at the cost of businesses like Sears. But that’s just the beginning. Big tech companies are already beginning to use their advantages in AI and data to reach beyond their traditional markets into entirely new 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 see this trend continue to accelerate next year. If companies are foolish enough to be caught off guard, they’ll quickly follow in Sears’ footsteps, unable to adapt to the new 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 begin dismissing efforts to modify broken hardware and processes. Instead, they’ll set their sights on holistic ecosystems that reimagine and reshape the way we design processes altogether. While the technological aspects of this process overhaul will be what drives the necessary sea change, we’ll come to realize that an even larger opportunity lies in using advanced technologies to optimize human behaviors anywhere they intersect with business process flow”—Alan O’Herliy, CEO, Everseen

    “In 2019, we’ll stop doubting humans’ role in the fourth industrial revolution—nor fear they don’t have 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 produce the best outcomes and experience rapid adoption, as a result”—Or Shani, CEO, Albert Technologies

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

    “Almost all software companies know every click that a user makes in their applications. What's been missing is a true 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 begin understanding the difference between user intent and basic software functionality. Armed with this information, companies can target individual, team, and function improvement efforts. And software companies can intervene proactively with customers who are on the path to sub-optimal outcomes. Additionally, this will inform software companies and their customers of the potential need for application or business 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 have seen promising results, it’s clear that the technology is still in its early adoption phase and AI is being used to inform better, faster and smarter hiring decisions, not make them. However, we may see more widespread adoption of AI to reduce the amount of time recruiters spend on mundane tasks so they can use their time on more meaningful candidate interactions”—Kurt Heikkinen, CEO, Montage

    “We expect to see AI used more in higher education in 2019 as institutions continue their digital transformation journeys and look to appeal to students’ preferences for adaptive, engaging learning experiences. Particularly necessary Gen Z, universities and professors need 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 Development and President of Digital Solutions, Barnes & Noble Education

    “As automated technologies shape the workplace in 2019, it’s important for companies to think 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 need to understand employee perceptions from the start. Before rolling out any new technology platforms, businesses need to be prepared to communicate the value the product will bring to the organization, how it will affect employees for the better, and the positive impact it will have on productivity and engagement. In doing this, companies will set their organizations up for success when implementing new technologies”—Andee Harris, President, HighGround/YouEarnedIt

    “We predict artificial intelligence will become more prominent in the insurance industry in 2019 as more insurtech companies and carriers utilize the technology in their customer experience strategies. At the same time, we also don’t believe that AI will replace the human insurance agent in the new year or in years to come. Though machine-learning models can be used to help agents become better advisors to their customers, the human touch will always be important 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 financial crime. This is distinct from Robotic Process Automation (RPA), which simply emulates human decisioning. Instead, true AI systems will go beyond human capability. We can also expect to see greater understanding in the boardroom about what AI really means—including hard-nosed figures around competitive advance, reducing costs of operations and removing headcount. Expect to see this C-suite understanding trigger issues around unions and job security as a result of significant operational changes”—Imam Hoque, COO & Head of Product, Quantexa

    “While smart virtual assistants and conversational AI will gain a lot of traction in 2019, a large focus of machine learning and its superset artificial intelligence will be on understanding content. AI will be used to filter out what is real and what is not, what is appropriate 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 have a lot of attention in 2019”—Sameer Kamat, CEO, Filestack

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

    “The need for AI-enabled search and analytics solutions will become more prevalent in 2019. Traditional search functions will give way to the emergence of cognitive search, resulting in AI-driven solutions to help enterprises un-trap their data and derive more valuable knowledge and insights. By 2020, cognitive search will streamline information to the point of reducing reactive searching by 20%--and organizations need 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 see 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 new 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 bad 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 make its way 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 seek to optimize their services and work 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 we know it”—Jordan Owens, VP of Architecture, Pexip

    “We will in the near future see the lines between audio content and written content disappear. All audio will be searchable in the same manner the text-based web is today, and all 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 have a human-like conversation with your assistant, who has instant access to all the knowledge in the world”—Johan Billgren, Co-founder and Chief Product Officer, Acast

    “In 2019, I predict 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 part of the ‘bias’ problem. This will lead to the start of a fundamental shift in how we think 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 expect 2019 will be the year we’ll see 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 all sizes to deploy intelligent applications. Along with that, we’ll also see further soul-searching and advocacy around what role firms providing machine learning services should play in ensuring the ethical use of their products. AI experts carry a great deal of clout in that conversation, since the services ultimately won’t work without their help. It will be interesting to see what norms emerge out of that process”—Blair Hanley Frank, Principal Analyst, ISG

    “For enterprises, 2019 is the year early adopters of an AI platform strategy will experience a leap ahead of their less innovative competitors. There will be clear winners, and clear losers in terms of both market share and margin growth. The investments made in automating data ingestion, and building machine learning algorithms will kick into the high 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 experience further disillusionment with all the vague hype around machine learning and AI. They’ll increasingly realize that accurate predictions require not just a large volume of training data, but a particular type—behavioral metadata. Analysis of this data can be mined to better shine a spotlight on  what’s used and what’s useful. This is the same 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 see a strong appetite emerge for this type 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 high demand—they specialize in translating the work 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 predict success during the buyer-seller engagement. In the post-sales phase, AI can pinpoint best practices and identify factors affecting customer experience to help increase both upselling and word-of-mouth selling. Finally, AI will rapidly produce 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 relevant 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 experience by scanning packaging, or at home conversing with branded content using a voice assistant. While creative teams and designers will still determine the aesthetic and tone for a given piece of content, their role becomes even more crucial as the designers of generative frameworks, determining which elements in an experience to make flexible while still 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 use cases, 2019 will see those applications put into practice. AI will fundamentally change the way consumers interact with brands, and I expect that to become abundantly clear in 2019 through new levels of personalization. Brands that adopt the use of AI to optimize the customer experience will see the implementation begin to impact their bottom line”—Adam Goldenberg, Co-CEO and Co-founder, TechStyle Fashion Group

    “Thus far, the capabilities of AI have been zeroed in on solving the problems we 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 introduce completely new data sets that change the status quo and solve problems we didn’t know we could. Video AI will be a great example of this, helping turn physical settings into actionable data that companies in retail and other sectors can utilize to strengthen customer experiences like never before—and unlock new services and customer value they may not have 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 improve by knowing what customers care about and engage with. Today’s marketers have more behavioral data than ever, but often don’t have the time, resources or knowledge to properly use it to tailor their approach. In 2019, AI technology will address this issue, ultimately benefiting customers and business results. As marketers test machine learning, creative strategy will need 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 we move from conversation to impact. We’ll begin seeing AI integrated more deeply into the day-to-day employee experience through things like digital assistants, whether it’s voice, SMS or another channel. I think we’ll also see AI-based digital assistants more front-and-center for new employees, taking a larger role in processes like 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 ability to consistently replicate results over time, location and assay—hence the need for rock-solid quality systems and standards that provide quantifiable reliability over cohorts. As we move into 2019, we are beginning to see real results on how we can apply artificial intelligence to a traditionally painfully laborious and human-driven process that used to take 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 all the way to instrument ingestion—is drastically minimized and hence the results become supremely reproducible, and where potentially actionable and clinically relevant information is derived in mere seconds”—Aldo Carrasco, CEO, InterVenn Biosciences

    “Our fascination with the use of computing power to augment human decision-making has likely outgrown even the tremendous advances made in algorithmic approaches. In reality, the successful use of AI and related techniques is still 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 idea that any business 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 support humans and algorithms continues and raises important ethical questions and is something we need to pay close attention to over the next few years. Data is human and therefore is just as messy as humans. Data does not create objectivity. It is well established that data and algorithms perpetuate existing biases and automated decisions are—at best—difficult to explain and justify. Appealing such decisions is even harder when we fall 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 business makes”—Christian Beedgen, Co-founder and CTO, Sumo Logic

    “In 2018, we saw many examples of adversarial AI algorithms attempting to fool humans, like Buzzfeed’s video of President Obama delivering fake sentences in a convincing fashion. Soon we can expect to see this concept evolve into a new class of cybercrime in which malicious content is automatically generated by AI algorithms—a new category we define as ‘DeepAttacks.’ DeepAttacks can manifest themselves at scale by generating code within malware files, creating fake network traffic in botnets, or in the form of fake URLs or HTML webpages. Next year, I expect 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 hot topic in 2018 – businesses are increasingly seeking insights into their data through the power of AI, but in order to get those insights, they must share the data with third parties. Ensuring data privacy, and in turn customer privacy, is a challenge we must solve to realize the benefits of AI. In 2019 we’ll see 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 way of encrypting data so that third parties can operate on the encrypted data and still use 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 expect 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 make a huge impact on cybersecurity by increasing exponentially the ability to detect rogue patterns and foul play, and in time will improve significantly on human ability 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 possible for AI to eliminate security breaches entirely. This is a classic case of the trade-off between the acceptable rate of false positives (where a legitimate activity is blocked because it’s erroneously assessed to be malign) and false negatives (where a malign activity isn’t identified as such). To drive the false negative rate close to zero, an unacceptably high rate of legitimate activities would have to get 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 make 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 demand for more practical AI that can be mainstreamed affordably, without requiring massive hardware or cloud, and without compromising on quality or performance”—Adi Pinhas, Co-founder and CEO, Brodmann17

    Retail modularity based on data and AI-driven insights could literally lead to dynamic rearrangements within the store. This already happens to a degree with seasonal changes such as moving barbecue items to prominent positions as summer approaches. But now it will be possible for more granular changes. For example, the baby food and Hamburger Helper moves to the end cap on Sunday-Tuesday, but chips and beer move to the end cap on Thursday-Saturday. Roll away a couple of center-store fixtures on the weekend to make room for the olive bar installation. Flip the store layout by day of week”—Tony Rodriguez, CTO, Digimarc

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

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

    “In 2019, AI technology will finally be able to help 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 stay in step with attackers ever-changing tools and techniques. Overall, AI expedites the time from attack identification to remediation by eliminating many of the challenges and burdens that have traditionally slowed-down the process. The implementation of such AI-driven technology will result in a major risk reduction for enterprises of all sizes”—Eyal Benishti, Founder & CEO, IRONSCALES

    “Machines will begin to understand cause and effect—today, when machines (such as chatbots and virtual assistants like Siri and Alexa) respond to us, it’s purely based on correlations. They do not have an understanding of causation. But as machines are getting more disparate sources of data, they will begin to better understand the causal relationship between a large set of variables. As humans, we learn about cause and effect over time through pure common sense. In 2019, we’ll see this come to fruition with machines as we 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 part of your business continuity process | killexams.com real questions and Pass4sure dumps

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

    Modern mainframes, like the IBM zEnterprise EC12, host cloud computing, transactional data processing and big data analytics. But many mainframe shops still treat their business continuity (BC) plans like 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 business continuity plan helps businesses recognize potential disasters, take 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 good business 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 close the protection gap.

    The same basic principles of the business 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, go to the cloud, update legacy applications to x86 platforms or take a different approach.

    It's all about the apps

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

    A typical business 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 serious concerns for workload migration or recovery.

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

    Some businesses make 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 business or regulatory breaches from an outage. Consider 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 new mainframe on-site in the DR facility.

    Redesigning mainframe workloads to use x86 servers can be difficult, but is a viable option for BC. The application is converted to run on Unix, Linux or Windows and re-constructed for distributed server architectures. Reverse engineering tools help, but expect to do serious software development for refinements, optimizations and bug fixes. Mainframe data stores must also convert 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 need more planning than average to improve redundancy and minimize disruptions. Mainframe users, or their business partners and customers, frequently fall under regulatory compliance requirements. Regulations impose obligations in data storage, processing and security, and make demands on ways the business operates or protects itself.

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

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

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

    Good BC plans cannot be static. All 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 center may be located on a flood plain, but the risk wasn't serious until a fault occurred in a nearby levy. Even with regular attention, the BC plan must be realistic and cannot accommodate every possible situation cost-effectively.


    Unisys Delivers Vertical Industry Solutions Built on Unisys 3D-VE Methodology and IBM Software | killexams.com real 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 development and delivery of integrated eligibility solutions for state health and human services programs. Also, Unisys will incorporate IBM software platforms and tools into Unisys-integrated business solutions for companies in the insurance industry, as well as identity access and management (IAM) solutions that help enterprises in a broad range of industries manage security for critical business information.

    These new solutions are among the first developed under an expansion of the long-term relationship between IBM Software and Unisys. This includes a new global license agreement for Unisys to add the IBM Rational Software Development Platform to the foundation of the Unisys 3D Visible Enterprise (3D-VE) strategy, integrate IBM WebSphere business 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 see the links among business strategy, processes and IT requirements throughout the entire enterprise and gain unprecedented visibility into the impacts and costs of strategic decisions at all 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 business processes," said Daniel Sabbah, general 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 vertical industries."

    The expanded relationship with IBM Software builds upon Unisys newly announced plan to deliver solutions for secure business operations. To support 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 see tremendous opportunities to leverage the strong alignment and compatibility of the Unisys 3D-VE and IBM service-oriented architecture strategies to help companies achieve more flexible, agile, efficient and secure business and IT operations," said Frederick Dillman, chief technology officer at Unisys. "Unisys and IBM share the same goal: helping companies gain enterprise-wide visibility to more closely align their present and future IT investments with their business processes."

    Key initiatives for Unisys combining 3D-VE and IBM software include 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 range of configurations to help organizations achieve greater IT visibility and business process alignment. The HHS Solution architecture consists of a comprehensive reference application, an application development environment and a component-based reference model.

    -- 3D-VE Blueprint for Insurance. This jointly developed solution covers all 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 business process and systems layers, along with executable code in the form of native J2EE components for deployment in IBM Rational and WebSphere environments. The IBM WebSphere platform allows insurance companies to deploy a flexible 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 ability to integrate federated identity management solutions in customers' IT environments.

    About Unisys

    Unisys is a worldwide technology services and solutions company. Our consultants apply Unisys expertise in consulting, systems integration, outsourcing, infrastructure, and server technology to help our clients achieve secure business operations. We build more secure organizations by creating visibility into clients' business operations. Leveraging Unisys 3D Visible Enterprise, we make visible the impact of their decisions--ahead of investments, opportunities and risks. For more information, visit www.unisys.com.

    RELEASE NO.: 1102/8588

    http://www.unisys.com/about__unisys/news_a_events/11028588.htm

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



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