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A2160-667 exam Dumps Source : Assessment: IBM Architectural Design of SOA Solutions

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IBM Assessment: IBM Architectural Design

IBM Bets On Samsung Fabs For Power10 Chips | killexams.com true Questions and Pass4sure dumps

When Globalfoundries determined to cease its building and rollout of each immersion lithography and severe ultraviolet (EUV) lithography on the 7 nanometer technique node again in August, it appeared as if IBM, 2d only to AMD as a server chip client for its most advanced fab in Malta, spacious apple, could be left in a lurch with its future vigour processors.

but that become by no means definitely the case anymore than with AMD, which is switching from Globalfoundries to Taiwan Semiconductor Manufacturing Corp for its subsequent-generation “Rome” Epyc processors. As they suspected, IBM did not proceed along with TSMC, as most server, networking, and custom ASIC chip makers achieve in the datacenter enviornment at the present time, however rather selected long-time chip analysis and construction companion Samsung as its wafer baker.

We observed on the time that you didn’t precisely necessity a supercomputer operating computing device studying inference to device this out. spacious Blue stopped being its own fab four years ago when it paid Globalfoundries $1.5 billion to pick IBM Microelectronics off its palms. at the moment, IBM furthermore dedicated itself to the former AMD in-apartment foundry to pick over its personal foundry on East Fishkill, ny to proceed making Power8 and Power8’ chips in response to 14 nanometer processes that absorb been co-developed by way of IBM and Globalfoundries. That East Fishkill foundry become in the technique of being transformed over from 45 nanometer gadget and procedures that were used to produce the Power7 chip from 2010 and the 32 nanometer processes that absorb been used to produce the Power7+ in 2012.

(incidentally, this is a first-rate sign there and it designates a transformation within the I/O and probably reminiscence subsystems in an influence processor; it's distinctive from a plus signal, which potential a transformation in procedure or structure or both in an influence chip, but neatly wanting an gigantic edition which has massive changes.) Globalfoundries furthermore took over the manufacturing of IBM’s device z mainframe processors, which absorb some standard features with the vigor chip line but which absorb a distinct instruction set and memory and i/O structure from the vigor line.

significantly, the power chip roadmap that they discovered in August 2015 and that IBM talked greater above entire about in early 2018 known as for Globalfoundries to produce IBM’s future Power10 processor, which absorb a fine possibility of being installed in at least one and perhaps two exascale-classification supercomputer methods within the united states in the 2021 to 2022 timeframe.

The expectation lower back in 2015 turned into that the Power10 chip would be made the usage of 10 nanometer tactics at Globalfoundries, now not 7 nanometer transistor gate geometries. pick a glance:

This specific roadmap above became now not public on the time they wrote about it. prior this 12 months on the OpenPower Summit, IBM station out a roadmap that offered greater insight into what salient features across the Power7 through Power10 had been principal as a hint of how the architecture of the processors and techniques would exchange:

you are going to word that the Power10 column best promises a “new microarchitecture” and a “new expertise” and doesn't give a specific dimension for the techniques used to produce the transistors. It says neither 10 nanometers nor 7 nanometers, and they believe it's because IBM did not absorb tall confidence in the yields with the 7 nanometer procedure node (despite the two-pronged approach that Fab8 in Malta become using to find to 7 nanometers on approach or the other) or the dedication from other chip designers to employ Globalfoundries at either the 10 nanometer node, which turned into scrapped in favor of going all-in on 7 nanometers at some element in the past few years.

The common deal between IBM and Globalfoundries changed into to Run from 2014 through 2024 and on out to the 10 nanometer node. here's probably the most explanation why great Blue paid $1.5 billion to find IBM Microelectronics out of its earnings pace and, with a $four.7 billion writeoff back in 2014 for its fabs in Vermont and long island, out of its books. however the deal most effectual made it via 5 years, in case you weigh number the Power9’ processor supplant that's coming in 2019 according to a sophisticated 14 nanometer processors from Globalfoundries. The Power9’ is expected to absorb enhancements to the I/O and reminiscence circuits, a excellent deal as the comply with-on Power8’ brought NVLink assist to the Power8 design.

In some roadmaps we've seen, IBM changed into going to double up the cores on Power10 to 48 per monolithic die the usage of 10 nanometer strategies sometime between 2019 and 2020 and then pace to 7 nanometers to find even more cores on the die via Power11 out beyond that. The chip manufacturing nodes are getting more durable for each server chip maker, and it is wreaking havoc on the roadmaps.

The alternative of Samsung turned into an obtrusive one. Samsung is the biggest semiconductor manufacturing enterprise on the planet – bigger even than Intel – and it makes its personal Arm processors for smartphones, drugs, and other embedded gadgets, and even flirted with the theory of constructing Arm server chips at some point. Samsung has engaged with IBM in a chip manufacturing and design partnership for the past 15 years, and some wonderful achievements were the first deployment of excessive-k/steel gate transistors in foundry manufacturing method again in 2008, originally for 32 nanometer strategies, which is likely one of the causes that this procedure turned into in a position to carry around 35 % extra performance and between 30 p.c and 50 p.c power reduction over 45 nanometer approaches of the time. back in July 2015, IBM, Globalfoundries, and Samsung worked together during the chip analysis core on the State institution of manhattan’s Polytechnic Institute to note a 7 nanometer goosed via silicon germanium channel transistors and using EUV lithography that could, in theory, cram 20 billion transistors on a single die.

Samsung has no option but to invest in wafer baking options and the foundries that station in obligate them – similar to Intel – as a result of Taiwan Semiconductor Manufacturing Corp, the simplest other fab engaged on 7 nanometer manufacturing and the clear winner thus far within the fab race, can not absorb the volumes of both Intel or Samsung. Samsung is using EUV lithography to find to 7 nanometers, and TSMC is doing 7 nanometer initially with universal water immersion lithography to rise however fairly swiftly affecting to EUV, which should be in production in early 2020 via Samsung.

“We await that we'll proceed into the market as they firstly planned in late 2021 or early 2022 with their 7 nanometer product family,” Bob Picciano, senior vice chairman in can freight of IBM’s Cognitive techniques division, tells The subsequent Platform. “That continues to be unchanged, and they are capable of retain their roadmap and retain the schedules their purchasers predict. They be awake of Samsung in fact well throughout some diverse areas, and this offers Samsung a excellent random to build out a brand unique competency within the foundry enterprise.”

incidentally, the subsequent era IBM mainframe processor, most likely known as the z15, could be using the identical up-to-date 14 nanometer system from Globalfoundries it really is being used on the Power9’ chip, after which the successor z16 processor for mainframes might be in accordance with the same 7 nanometer processes from Samsung that the Power10 chip will use.


Assessing IBM’s unique company focuses and vulnerability | #IBMEdge | killexams.com true Questions and Pass4sure dumps

As IBM repositions itself, shedding its networking and x86 server divisions, there’s fairly slightly of curiosity concerning the specifics of its shift in company headquarters of attention, in addition to the way it will absorb an consequence on the company’s many partners and valued clientele.

Dave Vellante (@dvellante) and Stu Miniman (@stu), cohosts of theCUBE, from the SiliconANGLE Media team, met to determine and examine the implications of a brace of bulletins, presentations and interviews from the primary day of this 12 months’s IBM edge conference, along with a glance forward to anticipations for the relaxation of the week.

The necessities

in the introductory overview of the opening day to what Vellante called a “classic IBM experience,” the hosts picked out what appeared to be the underlying drivers of innovations and market thrust showcased at IBM side.

“It’s entire about analytics,” Vellante stated, with the OpenPOWER foundation, meant to promote and extend vigour architecture RISC processing, spotlighted as a section of this push. “When individuals first heard about OpenPOWER, they concept, ‘Oh, there’s IBM’s Hail Mary,’” Vellante said, notwithstanding he felt that by way of this point, “It looks like, consistent as she goes.”

For his half, Miniman felt that whereas analytics were important, they weren’t lonely in IBM’s foremost plans. “IBM does a excellent job with the breadth and the depth of americans at this conference,” Miniman noted. “We referred to one of the vital bits and bytes, and a few of the items that IBM has, however’s in reality about … how cognitive computing, IoT, entire of these developments … are going to repercussion company,” he persevered.

Hidden troubles

however nonetheless, there were facets to up to date tendencies on which IBM didn’t appear to absorb such an organization hold close. “[They were] sort of dancing around hyper-converged … in order that’s type of a query mark,” Vellante referred to. And Miniman agreed, pointing to the likelihood of hyper-converged’s future dominance. “whereas nowadays converged is fairly a exiguous bit better than hyper-converged, hyper-converged has a pretty excellent growth rate,” Miniman defined.

“the brand unique stuff isn’t spacious adequate … to offset the decline within the frail stuff,” Vellante brought. “The change with IBM is … [it has] been capable of continue to hit its earning, throw off satisfactory cash to achieve some fundamental stock purchase-backs. … If [IBM’s strategy] starts taking off … then IBM is an undervalued company.”

still, searching ahead, both hosts noticed the longer term as an universal superb one for IBM. “each time there’s been a spacious exchange, IBM’s nonetheless there,” Miniman referred to.

And in adapting to the latest tech upheavals, they felt that IBM changed into doing an outstanding job of involving itself, in station of making an attempt to withstand trade. “You’re seeing an entire unique benign of wave of storage innovations. … IBM wants to be a player there,” Vellante spoke of, giving IBM an assessment as: “massive company, still particularly principal and supportive of the cognitive [computing initiative].”

Watch the finished video interview beneath, and be sure to try more of SiliconANGLE and theCUBE’s coverage of IBM aspect 2016.

image by means of SiliconANGLE given that you’re perquisite here … … We’d fondness to order you about their mission and the way which you can assist us fulfill it. SiliconANGLE Media Inc.’s company mannequin is in response to the intrinsic cost of the content material, not advertising. in contrast to many on-line publications, they don’t absorb a paywall or Run banner advertising, as a result of they are looking to retain their journalism open, with out affect or the necessity to chase traffic.

The journalism, reporting and commentary on SiliconANGLE — together with live, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — pick loads of arduous work, time and money. maintaining the property tall requires the support of sponsors who are aligned with their imaginative and prescient of advert-free journalism content.

if you fondness the reporting, video interviews and different ad-free content material perquisite here, please pick a second to try a sample of the video content material supported by way of their sponsors, tweet your assist, and retain coming lower back to SiliconANGLE.


IBM commerce companions enrich property and effectivity of utility and techniques birth | killexams.com true Questions and Pass4sure dumps

supply: IBM

December 05, 2006 08:01 ET

offerings Validated on unique IBM Rational application start Platform 7.0

ARMONK, spacious apple -- (MARKET WIRE) -- December 5, 2006 -- IBM (NYSE: IBM) today announced the combination of IBM company associate offerings with the brand unique Rational application birth Platform 7.0 computing device items. The utility solutions, validated through the able for IBM Rational utility offering, aid shoppers accelerate SOA adoption and pick abilities of sound architectural design to carry utility and features with more advantageous effectivity and exceptional.

The IBM Rational software start Platform 7.0 computing device items is a finished set of Eclipse-based mostly choices and ideal-practices approaches that support shoppers govern the procedure of application and techniques birth and tighten the relationship between IT and line of company. Many IBM enterprise companions absorb validated that their items meet IBM's necessities for interoperability and consumer undergo in the course of the equipped for IBM Rational utility offering.

These companions are additionally eligible for the IBM SOA zone of expertise. The IBM SOA zone of expertise is a selective software featuring technical enablement, skill-constructing roadmaps, and revenue and advertising back for these IBM commerce companions who effectively complete IBM's rigorous SOA technical and enterprise requirements.

In aid of IBM's utility delivery strategy, here IBM enterprise partners absorb validated their choices on the IBM Rational utility delivery Platform:

service Oriented architecture (SOA)

-- Exaltec extends the power of the Rational software rise Platform (SDP) with legacy modernization solutions that back customers know the cost advantages of recent architectures, fondness SOA, while eliminating dependencies on legacy RPG, visible primary and Oracle forms programs. Governance -- Black Duck software's protexIP allows builders, prison advice, and company determination-makers to control and ply the open source and 3rd party software accessories in use, making certain that accessories are appropriately licensed and enabling constructive intellectual property (IP) governance. The integrated providing allows for users to reckon their employ of those add-ons from within Rational application Developer and Rational software Architect and to produce an introductory assessment of the compliance with enterprise IP coverage. -- Ounce Labs' flagship product, Ounce 4, integrates with Rational utility Developer 7.0, featuring vulnerability analysis and remediation assistance on the developer computing device. -- SPI Dynamics DevInspect™ combines blackbox trying out and source code evaluation to immediately find and repair security defects, helping Rational software start Platform builders meet governance objectives to construct relaxed internet functions perquisite away and simply devoid of impacting schedules or requiring security competencies. satisfactory administration -- BSD neighborhood's Oracle functions Extension for Rational performance Tester broadens Rational's nice administration back for packaged software lead by extending Rational efficiency Tester to supply Oracle software support. Simplifying methods building -- EmbeddedPlus SysML and Simulation Toolkits are add-ins to Rational techniques Developer, Rational utility Modeler and Rational utility Architect that support modeling of systems the usage of the OMG SysML generic and simulation/execution of UML 2 and SysML fashions. EmbeddedPlus DOORKeeper allows for linking between Telelogic doorways® necessities and UML/SysML model elements, Java and C++ code in Rational utility Modeler, software Architect, and methods Developer. -- Galorath SEER-SEM's integration to the Rational SDP enables challenge estimates the usage of the SEER components to be developed from employ case data in Rational methods Developer and utility Modeler. -- Klocwork K7 is confirmed static evaluation expertise for C, C++ and Java, built-in with Rational utility rise Platform, enabling software evolution corporations to carve back their expenses and enhance their application fine. Simplifying options -- Agitar's AgitarOne 4.0 is the latest generation of unit-trying out technology for Java, broadening the Rational utility birth Platform developer's capabilities to provide excellent code it truly is simple to retain, notwithstanding automated JUnit generation and interactive exploratory checking out. -- commerce Objects Crystal reports for Eclipse, a 100% Java-primarily based edition of the defacto mediocre for document design and deployment, is without delay embedded in IBM Rational application delivery Platform 7.0, featuring builders with handy entry to a magnificent, primary, elastic reporting solution that makes it possible for them to correctly create stories directly inside their purposes. furthermore, the brand unique Crystal experiences facets in Rational application Developer and Rational utility Architects provide advanced administration capabilities for enterprise report server administration. -- Gorilla excellent judgment - The Gorilla eXecution Engine minimizes construction remodel via letting commerce stakeholders validate necessities by means of test using a excessive-constancy utility simulation generated directly from UML models in Rational software Architect or software Modeler earlier than a single line of code has been written. other accomplice products validated for the Rational utility start Platform 7.0 computing device products consist of Pathfinder options Pathmate, leavening programs OpenMake, Reischmann Informatik Toolbus, and secure software CodeAssure.

"As corporations seriously change, it is principal for entire elements of the enterprise to be neatly-governed from enterprise strategy through necessities, software construction, checking out and deployment," noted Michael Loria, vp enterprise development, IBM Rational application. "When IBM enterprise partners validate their offerings on the Rational application rise Platform, their customers are guaranteed their software and techniques are an built-in section of the whole end-to-end enterprise processes of software evolution and birth."

The equipped for IBM Rational utility validation providing is handy to access with faraway, web-based validation. IBM has made it even more straightforward for ISVs to participate with the aid of offering streamlined necessities along with further technical enablement support, together with sample plug-ins and validation documentation, FAQs, articles and entry to the Rational ISV enablement crew. Validated products suffer the equipped for IBM Rational software stamp as an assurance to customers of their compliance.

company companions are increasingly turning to IBM to aid customers win within the marketplace. With more than 65 validated options to this point, the able for IBM Rational application program provides IBM commerce companions with a great attain of complementary capabilities to lengthen the attain of the Rational software rise Platform. in the past two years, Rational has recruited and developed greater than one hundred fifty unique value-added resellers worldwide into the IBM value talents Plus (VAP) resell program expanding the value-added associate group to more than 250. The total Rational portfolio is accessible in IBM application community's Passport potential offering, and Rational makes practicing and enablement hobbies available to IBM commerce companions at no can charge.

For more suggestions, please seek recommendation from: www.ibm.com/application/rational


A2160-667 Assessment: IBM Architectural Design of SOA Solutions

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A2160-667 exam Dumps Source : Assessment: IBM Architectural Design of SOA Solutions

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Assessment: IBM Architectural Design of SOA Solutions

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Service-oriented architecture: a way of life | killexams.com true questions and Pass4sure dumps

Feb 1, 2006

Judith Lamont, Ph.D.

Service-oriented architecture (SOA) mirrors the goals of information management in synthesizing information from disparate sources into a meaningful view. It can integrate multiple functions into complex, end-to-end processes, both within and beyond an organization, more easily than other forms of integration. In addition, it allows for more flexible, rapid and inexpensive incorporation of unique functions. Rather than connecting the functions through code that directly links one application to another, SOA relies on a standardized software interface to which many applications can connect.

From the user viewpoint, the undergo is correspondingly improved. Rather than having to shift from one application to another in order to accomplish different tasks, the user can stay in a single interface—often a browser—and launch a process, submit content to a Web site or archive a record. The different services are activated as needed. The same unified consequence can be achieved without service-oriented architecture, but requires much greater effort.

Catalysts for change

Enterprise decision-makers may conclude they necessity a unique approach for a variety of reasons. "Sometimes when an organization needs to enhance the functionality of its applications, using current technology is either too expensive or too difficult," says Nikhil Shah, lead technical architect for the global technology practice at Kanbay. Kanbay specializes in systems integration for companies in the monetary services industry, where connecting customers, data and processes is imperative.

"Now that the traditional vertical distinctions are being broken down in monetary services, for example," continues Shah, "the companies necessity to tug information together about a customer's activities across multiple domains, such as credit cards, insurance and mortgages, to find a full understanding of that customer." Legacy systems are not well suited to providing a comprehensive view of the customer because they often achieve not interact well with each other.

"Customers who seek us out are not asking for a service-oriented architecture," concurs Paul Hernacki, CTO of Definition 6, an Internet consulting firm that develops collaboration and e-commerce solutions. "They are asking for a solution to their commerce problems."

Customers may find that they don't know where to find information, that they necessity better communication with their suppliers or that the cost of developing unique products is too high. "It's when they try to implement a solution that they often find the architecture they absorb in station does not support their goals," Hernacki says. "They are often far away from what they need."

New mindset

The biggest change an enterprise must undergo when it migrates to SOA is not the installation of the software, but creating a unique vision of how enterprise applications are used. With SOA, it is principal to pick a more comprehensive view, looking at which other departments might employ the same information or process. Designing the service to meet multiple needs allows for its reuse, capitalizing on one of the advantages of SOA. However, getting an overview of the interrelationships can be challenging.

Design tools that lay out the services in graphical figure can be useful. "People may not initially understand why the design process is so critical," says Trevor Naidoo, managing director of commerce process management at IDS Scheer (ids-scheer.com/us). "When the commerce users observe how the processes are aligned, they can pick ownership for their parts, and observe how those activities relate to others in the enterprise."

IDS Scheer's ARIS Platform for Process Excellence models and monitors commerce processes. Graphical tools such as ARIS are helpful in displaying activities and roles (for example, the role of an accounts payable clerk in processing an invoice). If commerce users can observe that both the accounts payable clerk and the customer service representative necessity to observe billing information, the case coordination among services becomes stronger.

Response from IT

Many organizations seek outside back in implementing an SOA because the initial application is significant. In general, IT departments are receptive to the unique architecture. "A few years ago, it was more of a challenge to talk about these concepts, but now they are well accepted," says Hernacki. A spacious incentive is that once the unique technology is in place, meeting the needs of commerce users becomes much easier. "With SOA, the conversation is better," he adds, "because the IT department can order commerce users that the project can be done more quickly and at a lower cost."

That forward-looking perspective does not always hold true, however. "We sometimes still observe a point-to-point mindset," says Shah. "Rather than taking a broader view, the IT department may still be thinking about how to add a data bailiwick or two in order to solve the problem with minimal upfront effort." Along with the commerce users, the IT staff needs to pace to a vision where they reckon where the data might be used downstream, or what coordination challenges might arise later.

The selection of a particular technology for SOA is usually dictated by what is already in place. "If the company has an IBM stack, you work with that," says Shah, "or if they are already using an enterprise service bus, you build on that." The Microsoft (microsoft.com) .net technology is gaining in popularity with small to midsize companies, although Shah reports that some great monetary services firms absorb furthermore selected it as the basis for their SOA architectures.

Definition 6 leans toward the Microsoft platform. "Most users already absorb XP, Internet Explorer and other Microsoft products," says Hernacki. Visual Studio 2005 allows for rapid building and deployment of applications, and technologies fondness SharePoint portal service can render and display information. "But the beauty of SOA," he emphasizes, "is that it doesn't matter if the user has an Oracle (oracle.com) human resources system, and a backend inventory system from Microsoft. SOA allows the management of processes across entire these applications with much less custom code."

Measures of success

Being able to keep a competitive edge in a fast-paced world is one of the rewards of SOA. "The biggest thing is that both the technical folks and the commerce users are looking for agility," says Naidoo, "because they necessity to react so quickly in today's competitive market." IDS Scheer is helping to build a repository of enterprise services models for SAP due to be released in the near future. "These services will be available ahead of time and can be selected from an inventory," he says, "and then strung together to figure composite applications."

Refinements to existing applications will furthermore back improve commerce performance. "A credit card system may easily allow a customer service representative to bump up a customer's credit limit," says Shah, "but you might furthermore want a finer-grained application to discharge a risk assessment to note that the enlarge was justified." SOA allows a secondary application to Run along with the original one, without disrupting its operation.

Among the users that are affecting most rapidly toward SOA are those with a significant number of external partners, according to Hernacki. "If an organization must be able to interchange data with a great number of providers, entire of whom absorb their own technology, it makes sense to pace quickly in the direction of SOA," he says.

Judith Lamont is a research analyst with Zentek Corp., e-mail jlamont@sprintmail.com.

IBM commerce Partners improve property and Efficiency of Software and Systems Delivery | killexams.com true questions and Pass4sure dumps

SOURCE: IBM

December 05, 2006 08:01 ET

Offerings Validated on unique IBM Rational Software Delivery Platform 7.0

ARMONK, NY -- (MARKET WIRE) -- December 5, 2006 -- IBM (NYSE: IBM) today announced the integration of IBM commerce partner offerings with the unique Rational Software Delivery Platform 7.0 desktop products. The software solutions, validated through the Ready for IBM Rational software offering, back customers accelerate SOA adoption and pick advantage of sound architectural design to deliver software and services with greater efficiency and quality.

The IBM Rational Software Delivery Platform 7.0 desktop products is a comprehensive set of Eclipse-based offerings and best-practices processes that back customers govern the process of software and systems delivery and tighten the relationship between IT and line of business. Many IBM commerce Partners absorb validated that their products meet IBM's requirements for interoperability and user undergo through the Ready for IBM Rational software offering.

These partners are furthermore eligible for the IBM SOA Specialty. The IBM SOA Specialty is a selective program providing technical enablement, skill-building roadmaps, and sales and marketing support for those IBM commerce Partners who successfully complete IBM's rigorous SOA technical and commerce requirements.

In support of IBM's software delivery strategy, the following IBM commerce Partners absorb validated their offerings on the IBM Rational Software Delivery Platform:

Service Oriented Architecture (SOA)

-- Exaltec extends the power of the Rational Software Delivery Platform (SDP) with legacy modernization solutions that back customers realize the cost benefits of unique architectures, fondness SOA, while removing dependencies on legacy RPG, Visual Basic and Oracle Forms programs. Governance -- Black Duck Software's protexIP enables developers, legal counsel, and commerce decision-makers to manage and control the open source and 3rd party software components in use, ensuring that components are properly licensed and enabling effectual intellectual property (IP) governance. The integrated offering allows users to evaluate their employ of these components from within Rational Application Developer and Rational Software Architect and to produce an initial assessment of the compliance with company IP policy. -- Ounce Labs' flagship product, Ounce 4, integrates with Rational Application Developer 7.0, providing vulnerability analysis and remediation recommendation on the developer desktop. -- SPI Dynamics DevInspect™ combines blackbox testing and source code analysis to automatically find and fix security defects, helping Rational Software Delivery Platform developers meet governance targets to build secure Web applications quickly and easily without impacting schedules or requiring security expertise. Quality Management -- BSD Group's Oracle Applications Extension for Rational Performance Tester broadens Rational's property management support for packaged application support by extending Rational Performance Tester to provide Oracle application support. Simplifying Systems Development -- EmbeddedPlus SysML and Simulation Toolkits are add-ins to Rational Systems Developer, Rational Software Modeler and Rational Software Architect that support modeling of systems using the OMG SysML standard and simulation/execution of UML 2 and SysML models. EmbeddedPlus DOORKeeper allows linking between Telelogic DOORS® requirements and UML/SysML model elements, Java and C++ code in Rational Software Modeler, Software Architect, and Systems Developer. -- Galorath SEER-SEM's integration to the Rational SDP enables project estimates using the SEER method to be developed from employ case data in Rational Systems Developer and Software Modeler. -- Klocwork K7 is proven static analysis technology for C, C++ and Java, integrated with Rational Software Delivery Platform, allowing software evolution organizations to reduce their costs and improve their software quality. Simplifying Solutions -- Agitar's AgitarOne 4.0 is the latest generation of unit-testing technology for Java, broadening the Rational Software Delivery Platform developer's capabilities to produce excellent code that is simple to maintain, though automated JUnit generation and interactive exploratory testing. -- commerce Objects Crystal Reports for Eclipse, a 100 percent Java-based version of the defacto standard for report design and deployment, is directly embedded in IBM Rational Software Delivery Platform 7.0, providing developers with simple access to a powerful, simple, elastic reporting solution that enables them to efficiently create reports directly within their applications. In addition, the unique Crystal Reports features in Rational Application Developer and Rational Software Architects provide advanced management capabilities for enterprise report server administration. -- Gorilla Logic - The Gorilla eXecution Engine minimizes development rework by letting commerce stakeholders validate requirements by test driving a high-fidelity application simulation generated directly from UML models in Rational Software Architect or Software Modeler before a single line of code has been written. Other partner products validated for the Rational Software Delivery Platform 7.0 desktop products embrace Pathfinder Solutions Pathmate, leavening Systems OpenMake, Reischmann Informatik Toolbus, and Secure Software CodeAssure.

"As businesses transform, it is critical for entire aspects of the commerce to be well-governed from commerce strategy through requirements, application development, testing and deployment," said Michael Loria, vice president commerce development, IBM Rational Software. "When IBM commerce Partners validate their offerings on the Rational Software Delivery Platform, their customers are assured their software and systems are an integrated section of the full end-to-end commerce processes of software evolution and delivery."

The Ready for IBM Rational software validation offering is simple to access with remote, web-based validation. IBM has made it even easier for ISVs to participate by offering streamlined requirements along with further technical enablement support, including sample plug-ins and validation documentation, FAQs, articles and access to the Rational ISV enablement team. Validated products suffer the Ready for IBM Rational software stamp as an assurance to customers of their compliance.

Business partners are increasingly turning to IBM to back customers win in the marketplace. With more than 65 validated solutions to date, the Ready for IBM Rational software program provides IBM commerce Partners with a broad attain of complementary capabilities to extend the attain of the Rational Software Delivery Platform. In the past two years, Rational has recruited and developed more than 150 unique value-added resellers worldwide into the IBM Value advantage Plus (VAP) resell program increasing the value-added partner community to more than 250. The entire Rational portfolio is available in IBM Software Group's Passport advantage offering, and Rational makes training and enablement events available to IBM commerce Partners at no charge.

For more information, please visit: www.ibm.com/software/rational


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

Me: “Alexa, order me what will betide in 2019.”

Amazon AI: “Do you want to open ‘this day in history'?"

Me: “Alexa, give me a prediction for 2019.”

Amazon AI: “The crystal ball is clouded, I can’t tell.”

My conversation with Amazon’s “smart speaker” or “intelligent voice assistant” just about sums up the present state of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably find the amend 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, entire peering into their not-so-clouded crystal ball, and promising less hype and more practical, precise, and narrow AI.

“Self-Driving Finance is a practical implementation of AI that is already used in one figure or another by millions of bank customers around the globe and will only find better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I observe a spacious uptake in the number of customers that will depend on AI to ‘drive’ their finances and pick automated actions to back them attain their monetary goals. To deliver effectual Self-Driving Finance, monetary institutions will require specialized forms of AI for each of their customer segments such as retail, small business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed subject matter information 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 absorb only limited amounts of data, but furthermore require specialized data, organizations will promote to realize that they necessity tools to easily create property AI data internally. This property over quantity approach will require organizations to pick stock of the data they absorb and put a question to themselves key questions: is this data representative of what I’m looking for, and does it match my goal? Will the production data match this training data? Did I strike a equipoise between repeatability of images and variation? Is my dataset diverse? Taking unique 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 true world”—Max Versace, PhD, CEO and co-founder, Neurala

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

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

“While B2B providers absorb been Slow to reconcile to the tall standard of personalized digital experiences set by Amazon and Google, the industry has at least acknowledged the value of personalized home and landing pages. As customer expectations increase, enterprises will necessity to keep pace by using machine learning and AI to present a personalized undergo beyond the first impression, which extends to other assets such as technical documentation, community portals, and chatbots”—Gal Oron, CEO, Zoomin

“In 2018 they saw a mighty deal of hype around AI in healthcare but they furthermore saw it become a reality—in everything from predictive analytics for confirmed disease management, to workflow enhancement in radiology as well as administrative and monetary employ cases that bring operational efficiency.  In 2019 they are going to observe voice and video, coupled with AI, being used to back accelerate the shift of the point of trust from the hospital, to the patient, wherever they are. The convergence of AI with 5G will furthermore accelerate the evolution of digital therapeutics that are more personalized, adaptive and pick advantage of AR and VR. Mental health and substance ill-treat treatment will be where they observe early adoption. Clinicians that embrace AI as an augmenter or assistant, not as a threat of replacement or obsolescence, will be able to differentiate themselves both to their patients and their peers”—Jennifer Esposito, generic Manager, Health & Life Sciences, Intel

“AI plays an increasing critical role in several industries from translating text and powering industrial drones to patient diagnosis. In 2019, they await AI, and more precisely image recognition, to be integrated into everyday life tasks such as helping those with disabilities and automating cars. AI will furthermore become section of the everyday shopping undergo 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 stay of ownership.” Today, they don’t own movies or music anymore—we subscribe to Netflix or Spotify. Tomorrow, they won’t own products anymore—we’ll subscribe to them. AI platforms are in the midst of turning every manufactured product on the planet into a connected ‘smart’ product. Today you can observe that trend happening in transportation and consumer electronics—cars, scooters, washing machines, coffee makers, thermostats, etc. But soon you’ll start seeing it betide everywhere—tables, chairs, floors, walls, clothes. As a result, they won’t necessity 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 honest Subscription Economy”– Tien Tzuo, CEO & Founder, Zuora

“Automation plays into the hands of a cyber attacker, allowing him to employ 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 unseemly positive problem is resolved, automation is not full-proof. Instead, automation should primarily be leveraged pre-breach, serving as a proactive defense mechanism to back organizations outmaneuver the attacker at the earliest stage and minimize the potential damage”—Nadav Zafrir, CEO, Team8

“Robotics and AI are increasingly used hand-in-hand to inspect and ensure the proper functioning of critical infrastructure that their society is built on—power lines, railroad tracks, flare stacks etc. Next year, the convergence of these two technologies is poised to accelerate, with 2019 serving as a breakout year for Distributed AI, in which intelligence will decentralize and be embedded closer to the assets and devices carrying out the inspections. Today’s cloud systems that remotely control Industrial IoT and AI - often at significant distances from inspection sites - will initiate 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 absorb been seared topics for a while, but that will initiate to decline in 2019. With many enterprises once having built an 'AI strategy,' today we’re already finding that more and more are affecting away from the hype and into solving real-world problems. They will observe the focus shift from AI to 'AI-driven' results as companies observe for true commerce repercussion from AI tools. The technology will be less principal than the commerce insights it delivers”—Sean Byrnes, CEO and co-founder, Outlier

“The consumer's understanding around AI will shift dramatically. They will no longer associate AI with futuristic robots and self-driving cars, but rather productivity tools and predictions to back 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 synthetic Intelligence (AI) and the domain of data science will no longer be a purist data scientist. There are only about 5,000 folks who are data scientists and they can’t depend on them to lead an industrial revolution. Everyone within an organization needs to absorb AI skills, from product managers to commerce analysts. The death of the data scientist is the pinnacle of this revolution”—Aman Naimat, CTO, Demandbase

“Some of their AI emperors absorb no clothes. For years, seared 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 unique wave is on the horizon—AI startups that generate proprietary data every time they're used. These startups, which leverage what they convoke Coaching Networks, are powered by algorithms that forever improve because they're fueled by the creative inputs and successes of millions of workers. These focused networks will be very arduous for companies that leverage static data sets and commodity APIs to compete with”—Gordon Ritter, generic Partner, Emergence

“AI is already outperforming humans in many domain-specific tasks; now comes the age of real-world applications. In 2019, AI will fundamentally disrupt diabetes management, thereby improving the lives of millions. Moreover, AI will back 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 spacious leap in unsupervised machine learning in the near future. Finally, I they will observe companies using AI to train AI. Instead of data scientists trying to experiment on which AI models work better for true world problems, companies will let AI achieve the work for them. This will back AI outperform humans in many unique tasks”—Yaron Hadad, Chief Scientist and Co-Founder, Nutrino

“If they want to create AI which is actually adopted by humans, it will absorb to be less and less ‘artificial,’ and more and more ‘intelligent,’ meaning it will absorb to pick on human traits. For people to feel a connection to AI-powered services and be willing to adopt them into every aspect of their lives, these services will absorb to become more and more anthropomorphized. And just as the human carcass is able to heal itself, they will furthermore await these systems to self-diagnose problems in their code and self-heal, correcting software issues on their own”—Zohar Fox, CEO and Co-Founder, Aurora Labs

“We believe AI as an all-purpose buzzword in healthcare will be slowly retired in 2019. As digitization of the industry matures, the notion of the all-knowing machine replacing doctors is clearly being debunked. The challenges of IBM Watson’s healthcare efforts, for example, illustrate that powerful computational tools lonely are ineffective in the countenance of unstructured medical data and the intricate realities of patient care. For 2019 they are skeptical about broad, systems-based uses of synthetic intelligence promising unspecified insights”—Yonatan Adiri, Founder and CEO, Healthy.io

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

“Until now, the employ of AI has been focused on making their lives more automated and their industries smarter. In 2019, they are going to observe a shift toward utilizing AI for social excellent and making their lives more sustainable. AI is going to be used to produce their cities and industries more environmentally friendly and their world a better place. From agritech and crop optimization to utilities and alternative energy, the spacious 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 observe an uptick in AI that can call monetary eligibility and funding opportunities. With AI, lenders can foresee which of today’s unviable applicants will become creditworthy in the future, thus open funding opportunities to businesses previously locked behind low-tech assessment processes. The dynamic and real-time nature of AI will provide continuous and automatic access to and updates about unique 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 resolve predictionary data differently. The Autonomous Vehicle industry will pace away from expostulate fusion and towards raw data fusion, which enables AVs to better interpret movement, speed, angle, and trajectory, and provides affluent data to call the direction and future movement of an object, pedestrian, or vehicle”—Ronny Cohen, CEO and Co-founder, VAYAVISION

“Multi-trillion-dollar markets such as commercial true estate are comprised of an intricate web of interactions that affect every decision, and AI technology is now mature enough to tackle these highly intricate transactions. As industry leaders are opening up to the potential of integrating advanced technology into core operations, AI is making its repercussion felt across unique industries that were previously off limits. They observe asset managers looking to develop unique 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 plane 4 and 5 autonomous vehicles (AVs) still aren’t commercially available, 2019 will be the year that they pick a giant leap forward. The data that AI relies on will become more readily accessible thanks to data-sharing alliances that must become a reality in order for automotive AI to improve to a plane suitable for entire road conditions. Simultaneously, the types of data collected for AI will be broadened to embrace non-visual data. Better data means better AI and safer AVs”—Boaz Mizrachi, Founder & CTO, Tactile Mobility

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

“AI research and applications are proving increasingly principal in healthcare, improving patient outcomes through a more personalized, data-driven approach. Just as spacious 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 trust and the spacious 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 want of parking space, in 2019 they will absorb far better visibility into the root cause—inefficiency of movement in urban areas. Understanding how people are affecting in urban areas, from where to where, when, with which means of transportation, and understanding why—that’s the core that will allow cities to build more efficient mobility, reducing their necessity to pace around, encouraging people to pace together, and creating multimodality. In order to find there, cities will necessity 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 they move”—Liad Itzhak, SVP Head, HERE Mobility

“There is no shortage of angst when it comes to the repercussion of AI on jobs, especially within the agricultural industry. However, the future of precision agriculture and the key to growing a better crop will depend on AI, imagery and sensors that will be able to learn from collecting information cultivated from 1000-acre farms. Agronomists and farmers are facing a major labor shortage and want of expertise. The require for food is increasing, yet farming is not valued as an attractive or profitable career, particularly in commodity crops. Due to the size and diversity of farming operation demands, farmers necessity to pay near attention to labor initiatives and employee management. Farms across the world are affecting 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, they will observe emergence of unique data sources (surveillance cameras, on-the-shelf-cameras, robots) and AI models for inventory management, better customer retail experiences, targeted marketing, and adding unique capabilities such as self-checkout. The key challenge, however, is to develop and scale AI operations to thousands of retail stores that vary in planograms, camera models, and network infrastructure capabilities”—Atif Kureishy, Vice President Global Emerging Practices, Teradata

"I await we'll observe 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 back 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 absorb 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 unique wide-sweeping data legislation has forced consumers to find to grips with their digital footprints and has caused them to be more critical over how they are targeted. affecting forward, third party data will back marketers accumulate more insights surrounding how consumers employ 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 figure is drowning out the fact that today, there is true value in AI tools that collect, organize and produce 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 furthermore produce people happier in their jobs – especially IT professionals. For enterprise IT, 2019 will be the year that AI will enable teams to pace beyond simple task automation, to empower the robotization of entire processes. By tapping the applied collective information 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 information and undergo 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 want of the essential link between sensing and action. Currently, they absorb a variety of technologies that present 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. They will observe 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 observe 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 entire things human. The ability to understand human emotions and cognitive states will become section of the criteria for evaluating AI, as companies produce decisions on which AI solution to select for their workplace, and even as consumers choose between systems fondness virtual assistants or smart speakers to absorb in their homes”—Rana el Kaliouby, PhD, CEO and co-founder, Affectiva

“The focus of AI will shift from intelligence to empathy—we’re affecting beyond the point where basic intelligence suffices for consumer-facing AI, as customers want to know that they are being viewed as individuals and not just as customer data records. In 2019, vendors will focus more on increasingly humanizing AI with empathy—including picking up on clues on customer motivation, how they feel in the moment, how they act in certain situations, and even what is happening around them”—Dr. Rob Walker, Vice President, determination Management and Analytics, Pegasystems

“As businesses enlarge their employ 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 expostulate 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 entire 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 employ 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 fondness Hadoop. The merger of Hortonworks and Cloudera was a first observe 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 synthetic Intelligence and machine learning”—Roman Stanek, CEO, GoodData

“High-profile breaches this past year absorb thrust the application layer under the security spotlight. As applications become increasingly sophisticated, their evolution furthermore 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 initiate to open source their internal AI projects and stacks, and I await to observe this accelerate in the coming year. The impetus for this is the same as in other industries such as the cloud that absorb 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 true value is in the models, training data and applications. We’re going to observe harmonization around a set of critical projects creating a comprehensive open source stack for AI, machine learning, and abysmal learning”—Ibrahim Haddad, Director of Research, The Linux Foundation

“AI will back elevate in-store customer experiences. AI will be used to back 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 absorb tried in the past to employ beacon technology to enable the same plane of personalization, but beacons are largely considered a failure because they require specific app downloads, Bluetooth connections or other factors that vastly circumscribe their usability. This problem will be solved by AI-trained countenance recognition algorithms. In 2019, customers that opt-into countenance recognition programs will gain numerous in-store benefits including personalized discounts, white glove service and shorter wait times. Retailers will finally be able to present customers the same plane 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 information 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 entire data analytics being AI will be more widely discussed, particularly with regards to the availability of sufficient, pertinent 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 reconcile 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 back them understand their unstructured data. For example, Bloomberg is building NLP libraries that are specific to the monetary domain”—Gideon Mann, Head of Data Science, Office of CTO, Bloomberg

“In 2019 they await a significant pace forward with frameworks and standards for measuring and testing jaundice in AI. They will observe an enlarge in necessity for human judgement and, consequently, an enlarge 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 property of service (QoS) is no longer enough. stay customers are now so subject upon always-on connectivity and so sensitive to service outages that even short service interruptions are now deal-breakers. affecting forward, we’re going to observe synthetic intelligence (AI) emerge as the role of a fixer and optimizer to enhance IT operations. Initial applications will tend to focus on security functions, fondness DDoS assault mitigation and real-time automated path selection. Eventually, uses will embrace AI-defined network topologies and basic operations, which will back us forge a network that runs on auto-pilot”—Kailem Anderson, Vice President of Software and Services, Ciena

“The explosion of synthetic 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 supplant the entire IT team overnight, nor will it find near any time soon due to the current applications of the technology. However, as AI starts to erode the necessity for humans in the IT helpdesk, they will observe those ITDMs that wish to survive achieve what they should be doing anyway—grow, expand into higher value areas and maintain a near 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 fork consolidation will give way to the next spacious trend—interactive kiosks. Using AI and data analytics, these ‘tellers’ will deliver personalized experiences matching users with the usurp teller based on life-stage, transaction history and more. Many banks absorb already seen success with virtual assistants in their mobile apps. In 2019 they call 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 find down to work beyond the hype and headlines. Practical AI will rule and be focused on making shopping easier, patient date better, lawyers smarter and cybersecurity stronger. They won't observe autonomous cars that never crash but AI will augment workplace productivity in unique and entertaining ways in 2019”—Ram Menon, Founder and CEO, Avaamo

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

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

“AI has the potential to repercussion the retail sector in a number of ways, but most notably in 2019, they can anticipate increased product innovation in the supply chain. As AI product innovations in the supply chain reduce overall costs through risk mitigation, improved forecasting, sped up deliveries and customer service capabilities, they can await more and more companies to implement such solutions, changing the countenance of retail in 2019”—Brad Taylor, Senior Director, Engineering and Facilities, Radial

 

“Deep Learning models absorb been shown to be vulnerable to imperceptible perturbations in data, that dupe models into making wrong predictions or classifications. With the growing reliance on great datasets, AI systems will necessity to guard against such attacks data, and the savviest advertisers will increasingly observe 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 observe patterns and gain insights from IoT devices and past customer behaviors—ultimately making supply chains smarter, leading to faster, more efficient production and fulfillment, and happier customers. In 2019 and beyond, they can await AI to pick supply chains from reactive in nature to prescriptive levels, helping companies find one step ahead of consumers’ rising expectations”—Hala Zeine, President of Digital Supply Chain, SAP

“In 2019 AI will ‘cross the chasm’ in healthcare as mainstream non-pioneering institutions apply AI-fueled clinical determination 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 spacious data”—Frank Ingari, Board Member, Quest Analytics

“AI for customer self-service isn’t as successful (yet) as the hype would indicate. Many organizations in 2019 will pick a split approach—more aggressive employ of AI to automate repetitive agent after-call work and a more targeted approach with simple and high-volume self-service employ cases”—Chris Bauserman, VP of Segment and Product Marketing, NICE inContact

“The key word is cognitive load and how achieve companies reduce it by providing better guidance and overall automation that helps produce it easier to use—RPA (Robotic process automation) is a mighty sample of this and continues to heat up. As they pace into 2019, RPA will become even more disruptive in how industries fondness retail, manufacturing, supply chain and even finance operate from the ground up. In 2019, they can await to observe more widespread introduction of software robots and synthetic intelligence (AI) workers as organizations observe to leverage automation to enhance their overall commerce ecosystem”—Rob Maille, Head of Strategy and Customer Experience, CommerceCX

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

“A major hurdle in the customer undergo space is users are still wary of how brands collect, store, secure and employ 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 commerce critical, as companies will require the tall automation plane necessary to become intellectual enterprises in 2019. Additionally, conversational AI will pick automation a step further to automate businesses’ customer support with more intellectual chatbots. These two technologies combined are the next spacious milestones to achieve faster, more effectual and more intellectual AI”—Markus Noga, SVP Machine Learning, SAP

“Artificial intelligence (AI) will produce it possible to remotely monitor their health and automatically suggest lifestyle changes that could back obviate diseases or spot them at the onset when they are much more treatable. We're already starting to observe this with FitBits reminding us to hit their daily steps or diabetes technologies monitoring their blood sugar, but this is just the beginning. In 2019 we’ll observe an enlarge in health wearables hitting the market that employ AI to track a vast number of conditions fondness 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, ply time and complexity (i.e. number of apps involved, type of actions conducted etc.). If these elements are factored in, this will back ensure that the processes being automated will yield a significant ROI for the company. Automating the wrong processes will only lead to frustration and halt an organization’s journey to successful automation”—Oded Karev, VP, Head of Robotic Process Automation, NICE

“As they pace into 2019, every telco operator in the US will absorb 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 absorb strong scaling strategies. There is a great pool of junior data scientists that will be the key to addressing these shortages and will achieve so in the coming years, but the learning curve will be felt in 2019. As a result of the current information gap, applications democratizing AI and ML will observe a great enlarge in require but will likely drop 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 promote (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 tainted habits and some morally suspect habits. Who knew they were so terrible as a species?”—Gary McGraw, VP of Security Technology, Synopsys

“Look out for ontology-based data science projects to complement existing bots and machine learning programs to round out the data science and AI approaches for commerce 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, produce an ontology-based system an simple start for enterprise and commerce organizations in 2019”—David Keane, Co-founder and CEO, Bigtincan

“Enterprises absorb 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 present near-term value to their organizations. To ensure success, they will necessity to station a way in place, including identifying the groups and tools that can actually pilot or incubate unique AI technologies to allow adoption enterprise wide. Gradual rollout after testing will back 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 observe a huge spike in the exploration and adoption of ML/AI tools that can back 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 tall degree of stability that is a huge boost to organizational productivity and agility. On the front of smart determination making and property analysis, they will observe 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 observe an exponential enlarge in the number of research projects and companies building solutions that leverage AI to enlarge developer productivity. They await that by 2020, entire evolution will be assisted by AI co-developers that understand developer intent, suggest next best patterns and detect problems before applications proceed 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 tainted 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 antecedent significant issues, fondness monetary and reputational damage, for businesses. Most users will find slips in security utterly incomprehensible and security companies will absorb an especially arduous 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 attain 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 obviate such severe fines, which could produce significant monetary 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 ethical foundation of their service. How they collect data, with whom they share that data, and what they stay up doing with that data will increasingly necessity a litmus test for what is acceptable and not. That litmus test needs to be section of the culture of the vendor—it needs to promote from the inside out. While this will feel too ‘touchy-feely’ and constraining to some vendors, it is absolutely necessary for long-term commerce 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 exiguous know-how in training models or interpreting results. This focused approach can be used by anyone, and enables very quick time-to-value at great scale. This shift will enlarge productivity and safety and will open the doors for unique commerce models throughout the industry, fondness Outcome-as-a-Service”—Saar Yoskovitz, Co-Founder and CEO, Augury

“The biggest benefit of AI will turn out to be something that they believe of as quintessentially human: being ‘good team players.’ While previous years absorb focused on individual algorithms doing things better than individuals, 2019 is about collections of algorithms starting to collaborate on intricate 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 trust is the digital future—the next iteration of the industry, and AI will play a great role in this transformation. For example, intricate algorithms can parse patient information, helping to direct them to the most usurp plane of care; natural language processing is advancing in a way that will produce online interactions simpler and more effective; and smart systems can accumulate patient allergy, prescription history and health information to support safer and more effectual prescribing. Best of all, with these AI tools in the hands of providers and healthcare organizations, the digital undergo can enhance, rather than supplant, the patient-provider relationship”—Jon Pearce, CEO and Co-founder, Zipnosis

“2019 is the year where they absorb everything in their hands to employ 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 eventual 20 years. The leaders are the ones that are set for digital transformation across their organizations, and who will leverage spacious Data and AI to deploy solutions that fundamentally affect the full drug evolution life cycle; they will reverse the current trend—growth of drug evolution 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 thrust for the demystification of AI and require a better understanding of what technology is being built, and greater transparency into how it is being used. As transparency increases people will better understand that AI is not an all-encompassing term for machines that can replicate and act fondness a complete human, but rather a more specific set of functionalities that can better automate simple tasks and augment people executing more intricate actions. This will result in less apprehension of a machine takeover and greater acceptance of unique innovation”—Josh Feast, CEO and Co-founder, Cogito

"In 2019 synthetic Intelligence (AI) and Machine Learning (ML) will nearly attain its full potential by connecting and processing data faster over a global distribution of edge computing platforms. AI and ML insights absorb 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 produce recommendations for future online purchases. This year, thanks to AI and ML, someone will finally know if that special someone really wants a fruitcake or power washer”—Alan Conboy, Office of the CTO, Scale Computing

“2019 seems as if it will be the year of analytics, machine learning and AI.  These tools are already available, though their pick up has often been delayed by a failure to match these unique capabilities with usurp unique workflows and SOC practices. Next year should observe some of the pretenders—those claiming to employ these techniques but actually using eventual generation's correlation and alert techniques in disguise—fall away, allowing the true innovators in this bailiwick to initiate to dominate.  This is likely to lead to some acquisitions, as the great incumbents, who absorb struggled to develop this technology, seek to buy it instead. 2019 is the year to invest in machine learning security start-ups demonstrating true capabilities”—Stephen Gailey, Solutions Architect, Exabeam

“Some existing applications that they may observe more than others in 2019 will be chatbots and increasingly autonomous vehicles. The improvement in chatbot AI capabilities, will create an chance for innovative customer service groups to step up in 2019 over competitors. 2019 will furthermore be a spacious 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 unique breed of security data scientists will emerge in 2019. Preparing, processing, and interpreting data require data scientists to be polymath. They necessity to know computer science, data science, and above all, necessity to absorb domain expertise to be able to order tainted data from excellent data and tainted results from excellent results. What they absorb already begun seeing is the necessity for security experts who understand data science and computer science to be able to first produce 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 true time”—Setu Kulkarni, Vice President of Corporate Strategy, WhiteHat Security

“A top tech trend of 2019 will be the repercussion machine learning/AI on the property of software. In the past, we’ve designed delivery processes to be skinny and reduce or eliminate waste but to me, that’s an outdated, glass-half-empty way of viewing the process. In 2019, if they want to fully leverage ML/AI, they necessity to understand that the antithetical of waste is value and pick a glass-half-full view that becoming more efficient means increasing value, rather than reducing waste”—Bob Davis, CMO, Plutora

“Companies will realize AI is an investment in the transformation of their internal processes, not just a feature that can be turned on to magically fix inefficiencies. On the vendor side, technology providers will produce AI tools and platforms easier to implement and station in place, and the incompatibility between technology leaders who can truly create this change within an organization and those who are trying to capitalize on the hype will become more and more vivid”—Connie Schiefer, VP Product Management, Mya Systems

“For the eventual two decades, the epicenter of the world’s economy has shifted as technology driven companies pick over entire markets at the cost of businesses fondness Sears. But that’s just the beginning. spacious tech companies are already rise to employ their advantages in AI and data to attain beyond their traditional markets into entirely unique 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 observe this trend continue to accelerate next year. If companies are ludicrous enough to be caught off guard, they’ll quickly result in Sears’ footsteps, unable to reconcile to the unique 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 synthetic intelligence companies initiate dismissing efforts to modify broken hardware and processes. Instead, they’ll set their sights on holistic ecosystems that reimagine and reshape the way they design processes altogether. While the technological aspects of this process overhaul will be what drives the necessary sea change, we’ll promote to realize that an even larger chance lies in using advanced technologies to optimize human behaviors anywhere they intersect with commerce process flow”—Alan O’Herliy, CEO, Everseen

“In 2019, we’ll stop doubting humans’ role in the fourth industrial revolution—nor apprehension they don’t absorb 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 attain 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 intricate process. Solutions that are built to capitalize on this give-and-take between man and machine will produce the best outcomes and undergo rapid adoption, as a result”—Or Shani, CEO, Albert Technologies

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

“Almost entire software companies know every click that a user makes in their applications. What's been missing is a honest 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 initiate understanding the incompatibility between user intent and basic software functionality. Armed with this information, companies can target individual, team, and office improvement efforts. And software companies can intervene proactively with customers who are on the path to sub-optimal outcomes. Additionally, this will inform software companies and their customers of the potential necessity for application or commerce process optimization”—Michael Graham, CEO, Epilogue Systems

“When it comes to using synthetic intelligence in recruiting in 2019, talent acquisition teams will be adopting it with cautious optimism. While organizations using AI earlier in the hiring process absorb 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 produce them. However, they may observe more widespread adoption of AI to reduce the amount of time recruiters spend on mundane tasks so they can employ their time on more meaningful candidate interactions”—Kurt Heikkinen, CEO, Montage

“We await to observe AI used more in higher education in 2019 as institutions continue their digital transformation journeys and observe to appeal to students’ preferences for adaptive, engaging learning experiences. Particularly necessary Gen Z, universities and professors necessity to meet students where they are at—online. As Gen Z is fully integrated with a digital era, their learning preferences will reflect differently than generations before them. Using resources with AI components such as AI teaching assistants, online courses and writing centers will start to be used more frequently across campuses”—Kanuj Malhotra, EVP of Corporate evolution and President of Digital Solutions, Barnes & Noble Education

“As automated technologies shape the workplace in 2019, it’s principal for companies to believe about how the onslaught of technology will repercussion their company culture in the short and long-term. Many organizations are already using AI to search for talent, but when it comes to other areas of the workplace where employees will be encountering AI on a daily basis, companies necessity to understand employee perceptions from the start. Before rolling out any unique technology platforms, businesses necessity 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 repercussion it will absorb on productivity and engagement. In doing this, companies will set their organizations up for success when implementing unique technologies”—Andee Harris, President, HighGround/YouEarnedIt

“We call synthetic intelligence will become more prominent in the insurance industry in 2019 as more insurtech companies and carriers utilize the technology in their customer undergo strategies. At the same time, they furthermore don’t believe that AI will supplant the human insurance agent in the unique year or in years to come. Though machine-learning models can be used to back agents become better advisors to their customers, the human touch will always be principal in insurance”—Jeff Somers, President, Insureon

“As AI continues to be more prevalent, it is undeniable that automated decisioning will supplant traditional white-collar workers. This means AI systems will be making the decisions instead of humans for anything from approving loans or deciding whether a customer should be onboarded to identifying corruption and monetary crime. This is distinct from Robotic Process Automation (RPA), which simply emulates human decisioning. Instead, honest AI systems will proceed beyond human capability. They can furthermore await to observe greater understanding in the boardroom about what AI really means—including hard-nosed figures around competitive advance, reducing costs of operations and removing headcount. await to observe this C-suite understanding trigger issues around unions and job security as a result of significant operational changes”—Imam Hoque, COO & Head of Product, Quantexa

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

“Alongside the enlarge in require for AI within companies, we’ve furthermore seen a continued shortage of trained data scientists. To enlarge the adoption of AI, AI platforms will necessity to empower traditional developers with tools to enable them to create machine learning models faster, as well as ensure they absorb 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 commerce Development, device 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 they want to compete, they necessity a solution to the data problem, and fast”—Hanns Wolfram Tappeiner, Co-Founder and President, Anki

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

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

“With an increasing availability of synthetic Intelligence (AI) capabilities driven by cloud computing, AI will produce its way into video conferencing in 2019 in everything from meeting elbowroom 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 they know it”—Jordan Owens, VP of Architecture, Pexip

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

“In 2019, I call that it will become clear that the information and analytics systems that are on the bleeding edge of creating and policing truth—particularly AI-based technologies—are themselves section of the ‘bias’ problem. This will lead to the start of a fundamental shift in how they believe 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 await 2019 will be the year we’ll observe an explosion of production applications leveraging synthetic intelligence. The tools and models available on the market are ready for prime time, which means it will be far easier for companies of entire sizes to deploy intellectual applications. Along with that, we’ll furthermore observe further soul-searching and advocacy around what role firms providing machine learning services should play in ensuring the ethical employ of their products. AI experts carry a mighty deal of clout in that conversation, since the services ultimately won’t work without their help. It will be entertaining to observe 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 undergo 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 tall 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 undergo further disillusionment with entire the vague hype around machine learning and AI. They’ll increasingly realize that accurate predictions require not just a great volume of training data, but a particular type—behavioral metadata. Analysis of this data can be mined to better shine a spotlight on  what’s used and what’s useful. This is the 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 observe 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 tall 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 call success during the buyer-seller engagement. In the post-sales phase, AI can pinpoint best practices and identify factors affecting customer undergo to back enlarge 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 pertinent in a given context, for a given audience. The goal and chance is to meet the audience where they are—whether being served content in a browser, interacting with a physical product and launching a digital undergo 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 undergo to produce elastic 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 employ cases, 2019 will observe those applications station into practice. AI will fundamentally change the way consumers interact with brands, and I await that to become abundantly clear in 2019 through unique levels of personalization. Brands that adopt the employ of AI to optimize the customer undergo will observe the implementation initiate to repercussion their bottom line”—Adam Goldenberg, Co-CEO and Co-founder, TechStyle fashion Group

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

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

“2019 will be a pivotal year for AI in the workplace—it will be the year they pace from conversation to impact. We’ll initiate seeing AI integrated more deeply into the day-to-day employee undergo through things fondness digital assistants, whether it’s voice, SMS or another channel. I believe we’ll furthermore observe AI-based digital assistants more front-and-center for unique employees, taking a larger role in processes fondness 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 necessity for rock-solid property systems and standards that provide quantifiable reliability over cohorts. As they pace into 2019, they are rise to observe true results on how they can apply synthetic intelligence to a traditionally painfully laborious and human-driven process that used to pick weeks and bring it down to real-time monitoring. When applied properly, streamlining and expediting this process ensures that any variability in the workflow—from the sample collection, processing, and entire the way to instrument ingestion—is drastically minimized and hence the results become supremely reproducible, and where potentially actionable and clinically pertinent information is derived in mere seconds”—Aldo Carrasco, CEO, InterVenn Biosciences

“Our fascination with the employ of computing power to augment human decision-making has likely outgrown even the tremendous advances made in algorithmic approaches. In reality, the successful employ 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 notion that any commerce 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 principal ethical questions and is something they necessity to pay near attention to over the next few years. Data is human and therefore is just as messy as humans. Data does not create objectivity. It is well established that data and algorithms perpetuate existing biases and automated decisions are—at best—difficult to interpret and justify. Appealing such decisions is even harder when they drop 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 repercussion of decisions their commerce makes”—Christian Beedgen, Co-founder and CTO, Sumo Logic

“In 2018, they saw many examples of adversarial AI algorithms attempting to fool humans, fondness Buzzfeed’s video of President Obama delivering fake sentences in a convincing fashion. Soon they can await to observe this concept evolve into a unique class of cybercrime in which malicious content is automatically generated by AI algorithms—a unique category they define as ‘DeepAttacks.’ DeepAttacks can manifest themselves at scale by generating code within malware files, creating fake network traffic in botnets, or in the figure of fake URLs or HTML webpages. Next year, I await hackers to deploy DeepAttacks more frequently in an attempt to evade both human eyes and smart defenses”—Rajarshi Gupta, Head of AI, Avast Software

“Concerns about AI and privacy were a seared topic in 2018 – businesses are increasingly seeking insights into their data through the power of AI, but in order to find those insights, they must share the data with third parties. Ensuring data privacy, and in turn customer privacy, is a challenge they must solve to realize the benefits of AI. In 2019 we’ll observe 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 employ privacy-preserving machine learning techniques to glean valuable insights. We’re seeing this technique emerge in discussions at NeurIPS and in some public solutions already, such as Microsoft SEAL and HE-Transformer, and await innovations around AI privacy and encryption to explode next year”--Casimir Wierzynski, Senior Director, Office of the CTO, synthetic Intelligence Products Group, Intel

"AI will produce a huge repercussion 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 unseemly positives (where a legitimate activity is blocked because it’s erroneously assessed to be malign) and unseemly negatives (where a calumniate activity isn’t identified as such). To drive the unseemly negative rate near to zero, an unacceptably tall rate of legitimate activities would absorb to find 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 produce 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 furthermore witness a growing require for more practical AI that can be mainstreamed affordably, without requiring massive hardware or cloud, and without compromising on property 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 affecting 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 stay cap on Sunday-Tuesday, but chips and beer pace to the stay cap on Thursday-Saturday. Roll away a brace of center-store fixtures on the weekend to produce elbowroom for the olive bar installation. Flip the store layout by day of week”—Tony Rodriguez, CTO, Digimarc

“Artificial and augmented intelligence will back address their nation’s mental health crisis. According to the National Institute of Health, nearly one in five American adults suffers from a figure of mental illness. There are significant barriers to seeking care, including stigma, affordability and access. In 2018, the U.S. news cycle was dominated by tall profile cognomen suicides, the constant drumbeat of emotionally charged stories in the news, and divisive midterm elections. That brought principal conversations about mental health and depression to light for many people, thereby reducing the stigma. AI will be able to back scale access to qualified providers and produce it affordable for people to find the perquisite plane of care. Combined with technologies fondness teletherapy and telepsychiatry, it will play an increasingly principal role in improving collaborative care. AI tools and data-driven algorithms will back clinicians track patient histories, identify times of crisis, and provide personalized trust 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 absorb greater, faster penetration with more automation, allowing hackers to achieve greater success executing cyberattacks. Cyber defense must observe 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 unseemly 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 back not just identify attacks, but furthermore 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 assault identification to remediation by eliminating many of the challenges and burdens that absorb traditionally slowed-down the process. The implementation of such AI-driven technology will result in a major risk reduction for enterprises of entire sizes”—Eyal Benishti, Founder & CEO, IRONSCALES

“Machines will initiate to understand antecedent and effect—today, when machines (such as chatbots and virtual assistants fondness Siri and Alexa) respond to us, it’s purely based on correlations. They achieve not absorb an understanding of causation. But as machines are getting more disparate sources of data, they will initiate to better understand the causal relationship between a great set of variables. As humans, they learn about antecedent and consequence over time through sheer common sense. In 2019, we’ll observe this promote to fruition with machines as they collect and feed them more disparate data sources that enable them to build conditional probability distribution to understand the direction of causality”—Michael Wu, Ph.D., Chief AI Strategist, PROS

See furthermore 60 Cybersecurity predictions for 2019 and 20 More AI Predictions For 2019



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