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C2150-198 IBM Security Access Manager V7.0(R) Implementation

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C2150-198 exam Dumps Source : IBM Security Access Manager V7.0(R) Implementation

Test Code : C2150-198
Test cognomen : IBM Security Access Manager V7.0(R) Implementation
Vendor cognomen : IBM
exam questions : 111 true Questions

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IBM IBM Security Access Manager

ImageWare Receives IBM PartnerWorld’s “capable for IBM safety Intelligence” Validation | killexams.com true Questions and Pass4sure dumps

October 02, 2017 08:30 ET | supply: ImageWare methods, Inc.

SAN DIEGO, Oct. 02, 2017 (GLOBE NEWSWIRE) -- ImageWare methods, Inc. (ImageWare or IWS) (OTCQB:IWSY), a frontrunner in mobile and cloud-primarily based, multi-modal biometric id management options, these days announced it has obtained IBM PartnerWorld’s ready for IBM security Intelligence designation for its GoVerifyID enterprise Suite. consequently, ImageWare’s GoVerifyID has been validated to combine with IBM safety items to serve enhanced give protection to its consumers worldwide.

ImageWare’s GoVerifyID provides multi-modal biometric user authentication the utilize of mobile devices and application-as-a-provider (SaaS).  GoVerifyID, combined with IBM’s flagship entry administration platform, IBM security entry supervisor (ISAM), makes it feasible for users to swipe a fingerprint, grasp a selfie, or provide a voice sample on their cellular gear to authenticate for any ISAM managed useful resource. GoVerifyID traffic Suite is an end-to-end, commercial enterprise-in a position, security solution that may moreover be seamlessly built-in into your existing ISAM authentication methods, offering a relaxed and person-friendly event, whereas enabling you to undertake recent biometric modalities as they are available.

“bendy mobile biometric authentication, mixed with cozy net utility access gives the premier in safety and pleasant person event," pointed out IWS Chairman and CEO Jim Miller. “ISAM users can now savor seamless integration and instantly entry complete of their apps with the aid of with no concern taking a selfie, the utilize of a fingerprint or talking a passphrase. And, of path, as with complete IWS mobile authentication products, users can always avail themselves of the newest developments in biometric technology if they resolve to achieve this as their GoVerifyID items are supported via their patented IWS Biometric Engine® that allows for unparalleled flexibility, scale, and safety."

The competent for IBM safety Intelligence alliance is designed to promote know-how collaboration and integration to extend and raise protection insurance, crumple silos of tips, and boost situational recognition and insights. With the PartnerWorld software and capable for safety Intelligence validation, IBM supports collaboration with its enterprise partners to permit the mixing of product capabilities and improved protection capabilities for mutual purchasers.

About ImageWare techniques, Inc. ImageWare programs, Inc. is a number one developer of cell and cloud-based identity administration solutions, presenting biometric authentication solutions for the commercial enterprise. The company gives you subsequent-era biometrics as an interactive and scalable cloud-primarily based answer. ImageWare brings together cloud and mobile know-how to present multi-element authentication for smartphone clients, for the commercial enterprise, and across industries.

ImageWare’s items serve multi-modal biometric authentication together with, however now not restrained to, face, voice, fingerprint, iris, palm, and more. complete the biometrics can be combined with or used as replacements for authentication and access control equipment, together with tokens, digital certificates, passwords, and PINS, to supply the gold measure smooth of assurance, accountability, and ease of utilize for company networks, internet functions, cellular gadgets, and notebook desktop environments.

ImageWare is headquartered in San Diego, Calif., with workplaces in Portland, OR, Ottawa, Ontario, and Mexico metropolis, Mexico. To study greater about ImageWare, visit iwsinc.com; comply with us on Twitter, LinkedIn, YouTube and fb.

Investor members of the family:

LioliosCody SlachTel 1-949-574-3860IWSY@liolios.com

San Diego, California, united states

ImageWare_official_Logo (1) copy RGB (1).png

codecs accessible:


IBM protection entry supervisor 7.0 Now obtainable | killexams.com true Questions and Pass4sure dumps

First identify: remaining name: e-mail address: Password: verify Password: Username:

Title: C-degree/President supervisor VP team of workers (associate/Analyst/etc.) Director

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IBM Cloud Storage: Product Overview and insight | killexams.com true Questions and Pass4sure dumps

final analysis:

in the cloud storage market, IBM is often notion of running in the back of leaders enjoy AWS and Azure. nevertheless, IBM Storage has a positive recognition as being designed for scale, with a spotlight on sturdiness and resiliency. So corporations that anticipate their advanced storage needs to develop hastily can be inescapable that IBM, with its appreciable materials, will don't occupy any issue assembly superior demand.

additionally, consumers will odds from IBM Storage's wealthy community of partnerships. The company has greater than 70 partnerships with enterprise ISVs in areas of content distribution, analytics, facts administration, archiving, backup and cloud storage gateways. This items an array of tools that can benefits any variety of organizations, with a pretty friendly array of talents work scenarios.

nonetheless, these groups that will be the finest vigorous for IBM Storage are establishments which are already doing company with IBM. here is because of competencies concerns round interoperability: the absolute best application/workload suitable should be with IBM-designed items.

business Description: https://o1.qnsr.com/log/p.gif?;n=203;c=204655441;s=10655;x=7936;f=201806121857000;u=j;z=TIMESTAMP;a=20400372;e=iIBM is a U.S.-based mostly leader in IT. It presents hardware, application, storage and a great number of services from cloud-primarily based to analytics. it is publicly traded. IBM received these cloud storage capabilities from the acquisition of Cleversafe a brace of years lower back. shoppers consist of Bitly, Dreamstime, leading analysis, OhioHealth, and ENI. provider Description:

IBM has two expostulate storage platforms:

  • IBM Cloud expostulate Storage (COS) is based on expertise bought from Cleversafe. it's the leading expostulate storage provider purchasable within the IBM Cloud. It presents the capability to store, manage and entry your records via a self-service portal and RESTful APIs. COS offers flexibility via storage tiers to serve diversity workloads. numerous resiliency alternatives match workloads with availability zones and pass regional choices.
  • IBM Cloud bury Storage: Flash-backed, long lasting, persistent iSCSI-primarily based bury storage for utilize with virtual servers and bare metal. bury storage gives consistent efficiency with low latency, customizable IOPS options to fill workload necessities.
  • IBM Cloud File Storage: durable, tall performing NFS-primarily based file shares up to 12TB with customizable IOPS.
  • areas:

    Its primary places are: U.S. (Dallas, Texas; San Jose, California; and Washington D.C.), eu (Frankfurt, Milan and Amsterdam) and Asia/Pacific (Seoul, Hong Kong and Tokyo). moreover, it has facilities in terrific Britain, Amsterdam, India, Melbourne, Toronto and two U.S. federal facilities.

    Storage type:

    File, Object, and block.

    Differentiator:

    IBM presents bury and file storage with forty eight,000 IOPS and designed for the business. COS has aboriginal constructed-in excessive-velocity file transfer capabilities, with out a can suffuse on ingress.

    Implementation:

    After growing an IBM Cloud Platform account, which you can provision a brand recent carrier instance with just just a few steps. evidently, here is a a well described manner with an obtainable consumer interface. 

    On the bury side this process may moreover be a bit greater complicated. One programs manager pointed out ease of deployment can be better.

    records transfer:

    Objects of as much as 200 MB may moreover be transferred using a web-based console. aid for bigger expostulate sizes and more desirable performance (depending on network elements) is equipped by means of Aspera high-speed switch. different switch tools or a COS API can be used for statistics transfer. IBM additionally has a lot of facts migration functions.

    efficiency:

    IBM bury and file storage gives as much as forty eight,000 IOPS.

    Availability/SLA:

    Infrastructure availability SLA is as much as ninety nine.95% is obtainable depending on the class of storage.

    Technical guide:

    Gartner consumers spotlight the outstanding smooth of technical assist (self-assist, companionable media, phone, tickets and chat) privilege through IBM COS implementation and migration durations. IBM provides documentation and 24/7 assist in Cantonese, English, French, German, Italian, japanese, Korean, Portuguese and Spanish.

    “The serve and income groups occupy at complete times gone out their pass to not best assist with their preliminary adoption, however to ensure the product was assembly their future needs as well,” pointed out a methods architect within the capabilities trade.

    security:

    handiest the bucket and expostulate house owners occupy access to the provider illustration they invent. COS supports user authentication to entry records. that you can utilize access manage mechanisms comparable to bucket guidelines to selectively furnish permissions to clients and functions. that you can securely add/down load records to IBM Cloud expostulate Storage via SSL endpoints the utilize of the HTTPS protocol.

    records at leisure is encrypted with automatic server-side superior Encryption medium (AES) 256-bit encryption and comfy Hash Algorithm (SHA)-256 hash. statistics in action is secured through the utilize of built-in, carrier-grade Transport Layer safety/cozy Sockets Layer (TLS/SSL) encryption.

    Storage management:

    A dashboard presents entry to: getting began assistance, buckets, endpoint, service credentials, connections, utilization particulars, and their chosen plan. additionally, counsel with managing complicated configurations is purchasable from IBM Cloud Managed functions.

    Markets and utilize situations:

    IBM’s candy spot is the traffic customer and mid-market attempting to find commercial enterprise performance points. utilize cases include

    backup, archive, catastrophe recuperation features, and analytics support.

    Pricing for means.

    Block Storage can be purchased with two pricing fashions: per GB when provisioned with long-suffering IOPs tiers, or per GB + per IOP when provisioned with custom performance IOPS. persistence IOP tier Pricing: IOPS Tier fee 0.25 IOPS/GB $0.10/GB 2 IOPS/GB $0.20/GB 4 IOPS/GB $0.35/GB 10 IOPS/GB $0.fifty eight/GB

    performance customized IOPS Pricing:

    $0.10/GB + $0.07/IOP

    seller

    IBM

    locations

    US, Germany, Italy, Netherlands, Hong Kong, South Korea, Japan, tremendous Britain, India, Canada, Australia.

    Storage category

    File, block, object

    Differentiator

    high efficiency bury and file storage

    performance

    forty eight,000 IOPS

    Availability

    99.ninety five%

    Gartner MQ rating

    area of interest

    Pricing

    10 cents/GB


    C2150-198 IBM Security Access Manager V7.0(R) Implementation

    Study lead Prepared by Killexams.com IBM Dumps Experts


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    C2150-198 exam Dumps Source : IBM Security Access Manager V7.0(R) Implementation

    Test Code : C2150-198
    Test cognomen : IBM Security Access Manager V7.0(R) Implementation
    Vendor cognomen : IBM
    exam questions : 111 true Questions

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

    Me: “Alexa, disclose 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 condition of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably regain the rectify action the human intelligence behind it programmed it to perform.

    What will be the condition of AI in 2019?

    The following list features 120 senior executives involved with AI, complete peering into their not-so-clouded crystal ball, and promising less hype and more practical, precise, and narrow AI.

    “Self-Driving Finance is a practical implementation of AI that is already used in one shape or another by millions of bank customers around the globe and will only regain better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I observe a tall uptake in the number of customers that will rely on AI to ‘drive’ their finances and grasp automated actions to serve them achieve their fiscal goals. To deliver efficient Self-Driving Finance, fiscal institutions will require specialized forms of AI for each of their customer segments such as retail, diminutive business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed topic matter scholarship and expertise”—David Sosna, Co-founder and CEO, Personetics

    “2019 will be the year of specialized AI systems built by organizations based on their own data. Given the realization that organizations sometimes occupy only limited amounts of data, but moreover require specialized data, organizations will arrive to realize that they requisite tools to easily create character AI data internally. This character over quantity approach will require organizations to grasp stock of the data they occupy and inquire themselves key questions: is this data representative of what I’m looking for, and does it match my goal? Will the production data match this training data? Did I strike a balance between repeatability of images and variation? Is my dataset diverse? Taking recent 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 enjoy a sensor embedded in the application that learns complete of the user journeys, using AI to predict the optimal path for interacting with a system. Similar to using a GPS such as Waze when you're driving to unlock optimal routes depending on the time of day, AI will unlock how each employee can best utilize a system, providing a purview 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 enact the rest—exploring nearly illimitable design permutations based on existing design concepts. More power will be achieve 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 regain us closer to the Holy Grail of AI, which is helping people at complete levels of an organization enact what they enact more effectively and efficiently, while uncovering recent opportunities and recent ways to work”—Josh James, Founder and CEO, Domo

    “While B2B providers occupy been laggard to reconcile to the tall measure 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 requisite to hold pace by using machine learning and AI to present a personalized suffer 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 noteworthy deal of hype around AI in healthcare but they moreover saw it become a reality—in everything from predictive analytics for habitual disease management, to workflow enhancement in radiology as well as administrative and fiscal utilize cases that bring operational efficiency.  In 2019 they are going to observe voice and video, coupled with AI, being used to serve accelerate the shift of the point of trust from the hospital, to the patient, wherever they are. The convergence of AI with 5G will moreover accelerate the development of digital therapeutics that are more personalized, adaptive and grasp odds of AR and VR. Mental health and pith 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, general Manager, Health & Life Sciences, Intel

    “AI plays an increasing faultfinding role in several industries from translating text and powering industrial drones to patient diagnosis. In 2019, they anticipate AI, and more precisely image recognition, to be integrated into everyday life tasks such as helping those with disabilities and automating cars. AI will moreover become fragment of the everyday shopping suffer 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 abide 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 requisite to own anything. We’ll simply subscribe to services: housing services, food services, transportation services, furniture services, clothing services. We’ll be live in a just Subscription Economy”– Tien Tzuo, CEO & Founder, Zuora

    “Automation plays into the hands of a cyber attacker, allowing him to utilize 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 spurious positive problem is resolved, automation is not full-proof. Instead, automation should primarily be leveraged pre-breach, serving as a proactive defense mechanism to serve 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 faultfinding 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 occupy been sweltering 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 stirring away from the hype and into solving real-world problems. They will observe the focus shift from AI to 'AI-driven' results as companies watch for true traffic impact from AI tools. The technology will be less primary than the traffic insights it delivers”—Sean Byrnes, CEO and co-founder, Outlier

    “The consumer's understanding around AI will shift dramatically. They will no longer associate AI with futuristic robots and self-driving cars, but rather productivity tools and predictions to serve 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 simulated 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 rely on them to lead an industrial revolution. Everyone within an organization needs to occupy AI skills, from product managers to traffic analysts. The death of the data scientist is the pinnacle of this revolution”—Aman Naimat, CTO, Demandbase

    “Some of their AI emperors occupy no clothes. For years, sweltering 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 recent 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, general Partner, Emergence

    “AI is already outperforming humans in many domain-specific tasks; now comes the age of real-world applications. In 2019, AI will fundamentally disrupt diabetes management, thereby improving the lives of millions. Moreover, AI will serve 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 tall 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 enact the work for them. This will serve AI outperform humans in many recent tasks”—Yaron Hadad, Chief Scientist and Co-Founder, Nutrino

    “If they want to create AI which is actually adopted by humans, it will occupy to be less and less ‘artificial,’ and more and more ‘intelligent,’ significance it will occupy to grasp 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 occupy to become more and more anthropomorphized. And just as the human corpse is able to heal itself, they will moreover anticipate 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 belief 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 solitary are ineffective in the countenance of unstructured medical data and the knotty realities of patient care. For 2019 they are skeptical about broad, systems-based uses of simulated intelligence promising unspecified insights”—Yonatan Adiri, Founder and CEO, Healthy.io

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

    “Until now, the utilize 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 companionable friendly and making their lives more sustainable. AI is going to be used to Make their cities and industries more environmentally friendly and their world a better place. From agritech and crop optimization to utilities and alternative energy, the tall data analytics and machine learning behind AI will be leveraged to completely change the pass 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 predict fiscal 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 recent 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 flood away from expostulate fusion and towards raw data fusion, which enables AVs to better interpret movement, speed, angle, and trajectory, and provides wealthy data to predict the direction and future movement of an object, pedestrian, or vehicle”—Ronny Cohen, CEO and Co-founder, VAYAVISION

    “Multi-trillion-dollar markets such as commercial true estate are comprised of an intricate web of interactions that move every decision, and AI technology is now age enough to tackle these highly knotty transactions. As industry leaders are opening up to the potential of integrating advanced technology into core operations, AI is making its impact felt across recent industries that were previously off limits. They observe asset managers looking to develop recent 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 smooth 4 and 5 autonomous vehicles (AVs) still aren’t commercially available, 2019 will be the year that they grasp 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 smooth suitable for complete road conditions. Simultaneously, the types of data collected for AI will be broadened to comprehend non-visual data. Better data means better AI and safer AVs”—Boaz Mizrachi, Founder & CTO, Tactile Mobility

    "As more businesses rely on AI to fuel their own products, services and data-driven marketing innovations, infamous 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 traffic decisions—leading to a significant competitive advantage"—Ran Avrahamy, VP, Global Marketing, AppsFlyer

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

    “2019 will be a pivotal year in the pass 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 austere challenges such as traffic, pollution and want of parking space, in 2019 they will occupy far better visibility into the root cause—inefficiency of movement in urban areas. Understanding how people are stirring in urban areas, from where to where, when, with which means of transportation, and understanding why—that’s the core that will allow cities to build more efficient mobility, reducing their requisite to flood around, encouraging people to flood together, and creating multimodality. In order to regain there, cities will requisite visibility into such data, and AI is precisely the implement that will enable such visibility, fostering prediction capabilities and action points to significantly improve the pass they move”—Liad Itzhak, SVP Head, HERE Mobility

    “There is no shortage of angst when it comes to the impact of AI on jobs, especially within the agricultural industry. However, the future of precision agriculture and the key to growing a better crop will rely on AI, imagery and sensors that will be able to learn from collecting information cultivated from 1000-acre farms. Agronomists and farmers are facing a major labor shortage and want of expertise. The exact for food is increasing, yet farming is not valued as an attractive or profitable career, particularly in commodity crops. Due to the size and diversity of farming operation demands, farmers requisite to pay immediate attention to labor initiatives and employee management. Farms across the world are stirring to fill the labor gap—not replace jobs—with AI technology”—Ofir Schlam, CEO and Cofounder, Taranis 

    “Brick-and-Mortar retail businesses are turning their attention to AI to significantly improve customer experience, profitability and remain competitive. In 2019, they will observe emergence of recent data sources (surveillance cameras, on-the-shelf-cameras, robots) and AI models for inventory management, better customer retail experiences, targeted marketing, and adding recent 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 anticipate 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 replete path to purchase—which marketing channels are driving revenue? What kinds of content serve 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 occupy a leg up on the competition"—Carl Schmidt, CTO and co-founder, Unbounce

    “The future of third-party data is faultfinding for marketers to abide actionable and competitive in a fast-moving technology landscape. The culmination of high-profile corporate privacy scandals and recent wide-sweeping data legislation has forced consumers to regain to grips with their digital footprints and has caused them to be more faultfinding over how they are targeted. stirring forward, third party data will serve marketers gather more insights surrounding how consumers utilize emerging technologies such as voice, location-based search and AI, so they can target them in a pass 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 shape is drowning out the fact that today, there is true value in AI tools that collect, organize and Make actionable the collective human experience. AI is not HAL 9000 from Space Odyssey. In 2019, AI will be about making people smarter, more effective, and more productive. It will moreover Make people happier in their jobs – especially IT professionals. For enterprise IT, 2019 will be the year that AI will enable teams to flood beyond simple job automation, to empower the robotization of entire processes. By tapping the applied collective scholarship of thousands of users and millions of process executions with AI, IT teams will be able to preemptively streamline application development, troubleshooting and even one-off daily requests. AI will bring them much needed help, backed by more scholarship and suffer 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 occupy 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 fill 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 skill to perceive and understand complete things human. The skill to understand human emotions and cognitive states will become fragment of the criteria for evaluating AI, as companies Make decisions on which AI solution to select for their workplace, and even as consumers resolve between systems enjoy virtual assistants or smart speakers to occupy in their homes”—Rana el Kaliouby, PhD, CEO and co-founder, Affectiva

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

    “As businesses enlarge their utilize of AI to extract greater value from their digital assets, metadata tagging will become an even more faultfinding constituent 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 complete data. Data is coming at us from different directions, at different speeds, and in different formats, and controlling this tsunami is one of the key markers of empowerment and success in the information age. Two massive trends are changing the landscape. First, different vendors are coming together to standardize data models. Second, and more important, is the emergence of enterprise data catalogs. These catalogs are accessible in a hub, with one view of the entire federated data estate, and deliver a shop-for-data marketplace experience. The more you share, collaborate, and utilize 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 enjoy Hadoop. The merger of Hortonworks and Cloudera was a first watch into the projected value for Hadoop in 2019. Technology that was designed twenty years ago in an era of ‘small’ data will no longer champion the modern, global, and dynamic enterprise. Data will still require management tools, but the complexity will be eliminated with the surge of simulated Intelligence and machine learning”—Roman Stanek, CEO, GoodData

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

    “2019 is going to be the year of open source AI. We’re already seeing companies initiate to open source their internal AI projects and stacks, and I anticipate to observe this accelerate in the coming year. The impetus for this is the same as in other industries such as the cloud that occupy 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 faultfinding projects creating a comprehensive open source stack for AI, machine learning, and abysmal learning”—Ibrahim Haddad, Director of Research, The Linux Foundation

    “AI will serve elevate in-store customer experiences. AI will be used to serve 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 occupy tried in the past to utilize beacon technology to enable the same smooth of personalization, but beacons are largely considered a failure because they require specific app downloads, Bluetooth connections or other factors that vastly restrict 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 smooth of personalization in stores as online”—Peter Trepp, CEO, FaceFirst

    “AI will start to become embedded in many more enterprise applications, in particular in applications for scholarship workers where AI and data analytics will play an increasing role in supporting and even making decisions. At the same time, the current misconception about complete 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 hold 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 whirl to specialized providers that sit on crucial data resources to serve them understand their unstructured data. For example, Bloomberg is building NLP libraries that are specific to the fiscal domain”—Gideon Mann, Head of Data Science, Office of CTO, Bloomberg

    “In 2019 they anticipate a significant flood forward with frameworks and standards for measuring and testing jaundice in AI. They will observe an enlarge in requisite 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 character of service (QoS) is no longer enough. abide customers are now so contingent upon always-on connectivity and so sensitive to service outages that even short service interruptions are now deal-breakers. stirring forward, we’re going to observe simulated intelligence (AI) emerge as the role of a fixer and optimizer to enhance IT operations. Initial applications will tend to focus on security functions, enjoy DDoS attack mitigation and real-time automated path selection. Eventually, uses will comprehend AI-defined network topologies and basic operations, which will serve us forge a network that runs on auto-pilot”—Kailem Anderson, Vice President of Software and Services, Ciena

    “The explosion of simulated intelligence (AI) within IT is poised to provide many benefits and time-saving opportunities in 2019 but will require IT decision-makers (ITDMs) to evolve into strategic consultants rather than serving in reactive roles. AI will not replace the entire IT team overnight, nor will it regain immediate any time soon due to the current applications of the technology. However, as AI starts to erode the requisite for humans in the IT helpdesk, they will observe those ITDMs that wish to survive enact what they should be doing anyway—grow, expand into higher value areas and maintain a immediate 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 pass to the next tall 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 occupy already seen success with virtual assistants in their mobile apps. In 2019 they predict AI-technology will extend beyond the mobile app and 15 percent of banks will launch interactive kiosks”—Mike Diamond, GM of Payments, Mitek

    “AI will regain down to work beyond the hype and headlines. Practical AI will rule and be focused on making shopping easier, patient tryst better, lawyers smarter and cybersecurity stronger. They won't observe autonomous cars that never crash but AI will augment workplace productivity in recent and appealing 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 grasp this a leap further, highlighting the consequence of specialized service desks that streamline IT champion management and allow for instant scholarship delivery”—Phani Nagarjuna, Chief Analytics Officer, Sutherland

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

    “AI has the potential to impact the retail sector in a number of ways, but most notably in 2019, 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 anticipate 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 occupy 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 requisite to guard against such attacks data, and the savviest advertisers will increasingly watch 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 anticipate AI to grasp supply chains from reactive in nature to prescriptive levels, helping companies regain 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 champion 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 diminutive data (such as unusual genetic signatures) hidden in vast reams of tall 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 grasp a split approach—more aggressive utilize of AI to automate repetitive agent after-call work and a more targeted approach with simple and high-volume self-service utilize cases”—Chris Bauserman, VP of Segment and Product Marketing, NICE inContact

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

    “As simulated intelligence applications grow in popularity, one key enabling technology will be the skill to process larger data sets constantly being updated with operational data. speedily access to not just historical data but moreover current transactions and real-time inputs will be faultfinding to delivering more value to the enterprise. With the privilege data currency and quality, AI will flood from special projects into production”—Raghu Chakravarthi, SVP of R&D and champion Services, Actian

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

    “Intelligent robotic process automation will emerge as traffic critical, as companies will require the tall automation smooth necessary to become smart enterprises in 2019. Additionally, conversational AI will grasp automation a step further to automate businesses’ customer champion with more smart chatbots. These two technologies combined are the next tall milestones to achieve faster, more efficient and more smart AI”—Markus Noga, SVP Machine Learning, SAP

    “Artificial intelligence (AI) will Make it feasible to remotely monitor their health and automatically intimate lifestyle changes that could serve avert 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 utilize AI to track a vast number of conditions enjoy blood pressure, painting a more holistic picture of a person’s health, as it changes in real-time”—Kevin Hrusovsky, CEO, President and Chairman, Quanterix

    “Many AI-enabled automation projects in 2018 failed because they were targeting the wrong processes to automate. In 2019, companies must assess what parameters should be taken into consideration—things such as the number of users for any given process, handle time and complexity (i.e. number of apps involved, nature of actions conducted etc.). If these elements are factored in, this will serve ensure that the processes being automated will defer 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 flood into 2019, every telco operator in the US will occupy a strategy defined, and budget allocated, toward monetizing machine learning in operations. However, there is a shortage in talent that will move everyone and strain companies’ skill to deliver, unless they occupy sturdy scaling strategies. There is a great pool of junior data scientists that will be the key to addressing these shortages and will enact so in the coming years, but the learning curve will be felt in 2019. As a result of the current scholarship gap, applications democratizing AI and ML will observe a great enlarge in exact but will likely tumble short on their ROI due to misinterpretation of data”—Johnny Ghibril, VP of Data Science & Solution Architecture, B.Yond

    “Machine learning will continue to 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, condition manipulation, priming, and catastrophic forgetting will arrive (back) to light. Associated security issues will be fun to explore. On the societal side, some inherent companionable norms exposed by AI/ML will continue to shock. When machines learn from humans, they can pick up some infamous habits and some morally suspect habits. Who knew they were so terrible as a species?”—Gary McGraw, VP of Security Technology, Synopsys

    “Look out for ontology-based data science projects to complement existing bots and machine learning programs to round out the data science and AI approaches for traffic in 2019, and to set the measure for how these tools can drive the performance of workers in both efficiency and effectiveness. Ontologies add an additional implement to the set of approaches that companies can now deploy off the shelf and ontologies skill to link together diverse sets of data and draw conclusions from them, Make an ontology-based system an easy start for enterprise and traffic organizations in 2019”—David Keane, Co-founder and CEO, Bigtincan

    “Enterprises occupy 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 requisite to achieve a draw in place, including identifying the groups and tools that can actually pilot or incubate recent AI technologies to allow adoption enterprise wide. Gradual rollout after testing will serve 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 serve develop mobile and web test scenarios without coding (codeless testing), to hasten 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 character 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 anticipate that by 2020, complete development will be assisted by AI co-developers that understand developer intent, intimate next best patterns and detect problems before applications fade 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 infamous 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 understanding significant issues, enjoy fiscal and reputational damage, for businesses. Most users will find slips in security utterly incomprehensible and security companies will occupy 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 condition laws (e.g., CCPA) in 2019, but probably for less obvious reasons. It is not so much the fines per se which can purview 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 avert such austere fines, which could bear significant fiscal distress or reputational damage. Separately, it should be renowned that the usual risk-deflection system of buying insurance against fines is not yet available in most countries”—Kon Leong, CEO and Co-founder, ZL Technologies

    “In 2019, the value statement of every vendor that builds AI systems should focus on BOTH the value they wish to create AND the underlying righteous foundation of their service. How they collect data, with whom they participate that data, and what they abide up doing with that data will increasingly requisite a litmus test for what is acceptable and not. That litmus test needs to be fragment of the culture of the vendor—it needs to arrive from the inside out. While this will feel too ‘touchy-feely’ and constraining to some vendors, it is absolutely necessary for long-term traffic viability to establish confidence credibly across their user communities. Without transparency, there is no trust. Without trust, there is no data. Without data, there is no AI”—Ojas Rege, Chief Strategy Officer, MobileIron

    “2019 is the year that AI unlocks the tremendous value of productivity in the industrial world. More companies are coming to market with perpendicular solutions that require petite 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 recent traffic models throughout the industry, enjoy Outcome-as-a-Service”—Saar Yoskovitz, Co-Founder and CEO, Augury

    “The biggest profit of AI will whirl out to be something that they reflect of as quintessentially human: being ‘good team players.’ While previous years occupy focused on individual algorithms doing things better than individuals, 2019 is about collections of algorithms starting to collaborate on knotty 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, knotty algorithms can parse patient information, helping to direct them to the most usurp smooth of care; natural language processing is advancing in a pass that will Make online interactions simpler and more effective; and smart systems can gather patient allergy, prescription history and health information to champion safer and more efficient prescribing. Best of all, with these AI tools in the hands of providers and healthcare organizations, the digital suffer can enhance, rather than supplant, the patient-provider relationship”—Jon Pearce, CEO and Co-founder, Zipnosis

    “2019 is the year where they occupy everything in their hands to utilize digital technology; it will be the year that will differentiate the laggards and the leaders, providing competitive odds to the forward-thinking organizations. The laggards still believe there is time, and will hold developing solutions in silos, making diminutive progress, without realizing the pace of change is accelerating faster than in the terminal 20 years. The leaders are the ones that are set for digital transformation across their organizations, and who will leverage tall Data and AI to deploy solutions that fundamentally move the replete drug development life cycle; they will reverse the current trend—growth of drug development timelines by 25%, reaching a startling 12 years on average—and bring much-needed therapies to the market sooner”—Isabelle deZegher, Vice President, Integrated Solutions, PAREXEL

    “In 2019, society will propel for the demystification of AI and exact a better understanding of what technology is being built, and greater transparency into how it is being used. As transparency increases people will better understand that AI is not an all-encompassing term for machines that can replicate and act enjoy a complete human, but rather a more definite set of functionalities that can better automate simple tasks and augment people executing more knotty actions. This will result in less alarm of a machine takeover and greater acceptance of recent innovation”—Josh Feast, CEO and Co-founder, Cogito

    "In 2019 simulated Intelligence (AI) and Machine Learning (ML) will nearly achieve its replete potential by connecting and processing data faster over a global distribution of edge computing platforms. AI and ML insights occupy 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 pass airlines build and service airplanes, government defense agencies respond to hackers and how personal assistants Make recommendations for future online purchases. This year, thanks to AI and ML, someone will finally know if that special someone really wants a fruitcake or power washer”—Alan Conboy, Office of the CTO, Scale Computing

    “2019 seems as if it will be the year of analytics, machine learning and AI.  These tools are already available, though their grasp up has often been delayed by a failure to match these recent capabilities with usurp recent workflows and SOC practices. Next year should observe some of the pretenders—those claiming to utilize these techniques but actually using terminal generation's correlation and alert techniques in disguise—fall away, allowing the true innovators in this sphere to initiate to dominate.  This is likely to lead to some acquisitions, as the great incumbents, who occupy 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 moreover be a tall 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 recent breed of security data scientists will emerge in 2019. Preparing, processing, and interpreting data require data scientists to be polymath. They requisite to know computer science, data science, and above all, requisite to occupy domain expertise to be able to disclose infamous data from friendly data and infamous results from friendly results. What they occupy already begun seeing is the requisite for security experts who understand data science and computer science to be able to first Make sense of the security data available to us today. Once this data is prepared, processed and interpreted, it can then be used by AI and ML techniques to automate security in true time”—Setu Kulkarni, Vice President of Corporate Strategy, WhiteHat Security

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

    “Companies will realize AI is an investment in the transformation of their internal processes, not just a feature that can be turned on to magically fix inefficiencies. On the vendor side, technology providers will Make AI tools and platforms easier to implement and achieve in place, and the dissimilarity 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 terminal two decades, the epicenter of the world’s economy has shifted as technology driven companies grasp over entire markets at the cost of businesses enjoy Sears. But that’s just the beginning. tall tech companies are already birth to utilize their advantages in AI and data to achieve beyond their traditional markets into entirely recent 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 silly enough to be caught off guard, they’ll quickly follow in Sears’ footsteps, unable to reconcile to the recent 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 simulated 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 pass they design processes altogether. While the technological aspects of this process overhaul will be what drives the necessary sea change, we’ll arrive to realize that an even larger chance lies in using advanced technologies to optimize human behaviors anywhere they intersect with traffic process flow”—Alan O’Herliy, CEO, Everseen

    “In 2019, we’ll cease doubting humans’ role in the fourth industrial revolution—nor alarm they don’t occupy one. It will become lucid that the relationship between machines and humans is not either-or, but rather, it’s highly symbiotic. We’ll realize how crucial it is to marry human insight with AI in order to achieve both AI’s and humans’ potential. We’re already seeing that the AI solutions succeeding at both the department- and enterprise-level are those that leverage humans to set forth the larger strategic vision and drive the instinctual and intuitive elements of any knotty process. Solutions that are built to capitalize on this give-and-take between man and machine will bear the best outcomes and suffer rapid adoption, as a result”—Or Shani, CEO, Albert Technologies

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

    “Almost complete software companies know every click that a user makes in their applications. What's been missing is a just 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 dissimilarity 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 requisite for application or traffic process optimization”—Michael Graham, CEO, Epilogue Systems

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

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

    “As automated technologies shape the workplace in 2019, it’s primary for companies to reflect about how the onslaught of technology will impact their company culture in the short and long-term. Many organizations are already using AI to search for talent, but when it comes to other areas of the workplace where employees will be encountering AI on a daily basis, companies requisite to understand employee perceptions from the start. Before rolling out any recent technology platforms, businesses requisite to be prepared to communicate the value the product will bring to the organization, how it will move employees for the better, and the positive impact it will occupy on productivity and engagement. In doing this, companies will set their organizations up for success when implementing recent technologies”—Andee Harris, President, HighGround/YouEarnedIt

    “We predict simulated intelligence will become more prominent in the insurance industry in 2019 as more insurtech companies and carriers utilize the technology in their customer suffer strategies. At the same time, they moreover don’t believe that AI will replace the human insurance agent in the recent year or in years to come. Though machine-learning models can be used to serve agents become better advisors to their customers, the human palpate will always be primary in insurance”—Jeff Somers, President, Insureon

    “As AI continues to be more prevalent, it is undeniable that automated decisioning will replace traditional white-collar workers. This means AI systems will be making the decisions instead of humans for anything from approving loans or deciding whether a customer should be onboarded to identifying corruption and fiscal crime. This is several from Robotic Process Automation (RPA), which simply emulates human decisioning. Instead, just AI systems will fade beyond human capability. They can moreover anticipate 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. anticipate 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 simulated 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 occupy a lot of attention in 2019”—Sameer Kamat, CEO, Filestack

    “Alongside the enlarge in exact for AI within companies, we’ve moreover seen a continued shortage of trained data scientists. To enlarge the adoption of AI, AI platforms will requisite to empower traditional developers with tools to enable them to create machine learning models faster, as well as ensure they occupy 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 traffic Development, design 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 diminutive amounts of monetary value / perks. For better or for worse, this gives companies who operate in the country a massive odds over companies here. If they want to compete, they requisite a solution to the data problem, and fast”—Hanns Wolfram Tappeiner, Co-Founder and President, Anki

    “The requisite for AI-enabled search and analytics solutions will become more prevalent in 2019. Traditional search functions will give pass to the emergence of cognitive search, resulting in AI-driven solutions to serve enterprises un-trap their data and derive more valuable scholarship and insights. By 2020, cognitive search will streamline information to the point of reducing reactive searching by 20%--and organizations requisite 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 recent retail opportunity, it moreover uncovers how that chance was identified in the data. It moreover provides retailers with an chance to check their data—and any public or aggregate data they tug in—to ensure AI isn’t making infamous assumptions under the adage ‘garbage in, garbage out’”—Nikki Baird, Vice President of Retail Innovation, Aptos

    “With an increasing availability of simulated Intelligence (AI) capabilities driven by cloud computing, AI will Make its pass into video conferencing in 2019 in everything from meeting leeway 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. complete audio will be searchable in the same manner the text-based web is today, and complete text will be accessible as audio, with your favorite voice (Artificial Morgan Freeman?) reading it back to you. As voice assistants and search algorithms continue to advance, you will soon be able to occupy a human-like conversation with your assistant, who has instant access to complete the scholarship in the world”—Johan Billgren, Co-founder and Chief Product Officer, Acast

    “In 2019, I predict that it will become lucid that the information and analytics systems that are on the bleeding edge of creating and policing truth—particularly AI-based technologies—are themselves fragment of the ‘bias’ problem. This will lead to the start of a fundamental shift in how they reflect 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 anticipate 2019 will be the year we’ll observe an explosion of production applications leveraging simulated intelligence. The tools and models available on the market are ready for prime time, which means it will be far easier for companies of complete sizes to deploy smart applications. Along with that, we’ll moreover observe further soul-searching and advocacy around what role firms providing machine learning services should play in ensuring the ethical utilize of their products. AI experts carry a noteworthy deal of clout in that conversation, since the services ultimately won’t work without their help. It will be appealing 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 suffer a leap ahead of their less innovative competitors. There will be lucid winners, and lucid losers in terms of both market participate 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 all organization”—Dr. Anil Kaul, CEO and Co-Founder, Absolutdata

    “Organizations will suffer further disillusionment with complete the vague hype around machine learning and AI. They’ll increasingly realize that accurate predictions require not just a great volume of training data, but a particular type—behavioral metadata. Analysis of this data can be mined to better shine a spotlight on  what’s used and what’s useful. This is the 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 sturdy appetite emerge for this nature of impact-driven technology and behavioral metadata among organizations”—Aaron Kalb, VP of Design and Strategic Initiatives and Co-founder, Alation

    “Last year was the year of the data scientist—enterprises focused heavily on hiring and empowering data scientists to create advanced analytics and machine learning models. 2019 is the year of the data engineer. Data engineers will find themselves in 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 determine the faultfinding resources needed to inform their buying and selling decisions. AI-powered innovation will anticipate sales challenges and buyer objections and extract insights to better predict success during the buyer-seller engagement. In the post-sales phase, AI can pinpoint best practices and identify factors affecting customer suffer to serve enlarge both upselling and word-of-mouth selling. Finally, AI will rapidly bear a more coachable, customer-informed sales rep who is smarter, nimbler and better prepared to sell successfully”—Yuchun Lee, CEO and Co-founder, Allego

    “Over the next few years, AI will be increasingly used to dynamically modify and serve creative content based on what’s 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 suffer 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 suffer to Make flexible while still maintaining the core of the creative concept”—Claire Mitchell, Director, VaynerSmart

    “While 2018 saw many retailers and brands gain more familiarity with AI and its potential utilize cases, 2019 will observe those applications achieve into practice. AI will fundamentally change the pass consumers interact with brands, and I anticipate that to become abundantly lucid in 2019 through recent levels of personalization. Brands that adopt the utilize of AI to optimize the customer suffer will observe the implementation initiate to impact their bottom line”—Adam Goldenberg, Co-CEO and Co-founder, TechStyle mode Group

    “Thus far, the capabilities of AI occupy been zeroed in on solving the problems they know—more efficiently extracting patterns and insights from massive data sets we’ve always been confidential 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 interject completely recent data sets that change the status quo and decipher problems they didn’t know they could. Video AI will be a noteworthy case of this, helping whirl physical settings into actionable data that companies in retail and other sectors can utilize to strengthen customer experiences enjoy never before—and unlock recent services and customer value they may not occupy 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 occupy more behavioral data than ever, but often don’t occupy the time, resources or scholarship to properly utilize it to tailor their approach. In 2019, AI technology will address this issue, ultimately benefiting customers and traffic results. As marketers test machine learning, creative strategy will requisite to evolve”—Cody Bender, Chief Product Officer, crusade Monitor

    “2019 will be a pivotal year for AI in the workplace—it will be the year they flood from conversation to impact. We’ll initiate seeing AI integrated more deeply into the day-to-day employee suffer through things enjoy digital assistants, whether it’s voice, SMS or another channel. I reflect we’ll moreover observe AI-based digital assistants more front-and-center for recent employees, taking a larger role in processes enjoy 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 skill to consistently replicate results over time, location and assay—hence the requisite for rock-solid character systems and standards that provide quantifiable reliability over cohorts. As they flood into 2019, they are birth to observe true results on how they can apply simulated intelligence to a traditionally painfully laborious and human-driven process that used to grasp weeks and bring it down to real-time monitoring. When applied properly, streamlining and expediting this process ensures that any variability in the workflow—from the sample collection, processing, and complete the pass 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 utilize of computing power to augment human decision-making has likely outgrown even the tremendous advances made in algorithmic approaches. In reality, the successful utilize 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 belief that any traffic can ‘turn on AI’ to become successful or more successful is preposterous, no matter how much data is being collected. But the collection of data to champion humans and algorithms continues and raises primary ethical questions and is something they requisite to pay immediate 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 define and justify. Appealing such decisions is even harder when they tumble into the trap of thinking data and algorithms combine to create objective truth. With greater decision-making power comes much greater responsibility, and humans will increasingly be held accountable for the impact of decisions their traffic makes”—Christian Beedgen, Co-founder and CTO, Sumo Logic

    “In 2018, they saw many examples of adversarial AI algorithms attempting to fool humans, enjoy Buzzfeed’s video of President Obama delivering fake sentences in a convincing fashion. Soon they can anticipate to observe this concept evolve into a recent class of cybercrime in which malicious content is automatically generated by AI algorithms—a recent 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 shape of fake URLs or HTML webpages. Next year, I anticipate 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 sweltering topic in 2018 – businesses are increasingly seeking insights into their data through the power of AI, but in order to regain those insights, they must participate the data with third parties. Ensuring data privacy, and in whirl customer privacy, is a challenge they must decipher 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 pass of encrypting data so that third parties can operate on the encrypted data and still utilize 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 anticipate innovations around AI privacy and encryption to explode next year”--Casimir Wierzynski, Senior Director, Office of the CTO, simulated Intelligence Products Group, Intel

    "AI will Make a huge impact on cybersecurity by increasing exponentially the skill to detect rogue patterns and foul play, and in time will improve significantly on human skill 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 feasible for AI to eradicate security breaches entirely. This is a classic case of the trade-off between the acceptable rate of spurious positives (where a legitimate activity is blocked because it’s erroneously assessed to be malign) and spurious negatives (where a asperse activity isn’t identified as such). To drive the spurious negative rate immediate to zero, an unacceptably tall rate of legitimate activities would occupy to regain blocked”—Richard Anton, Co-founder, Oxx

    “In the automotive world, leading automakers and component suppliers are constantly looking for differentiation through AI, and as a result, there is currently a major shift underway from the rigid hardware solutions that started the AI revolution to more flexible, software-based ones that can be easily tailored to customer needs. In 2019 and beyond, AI will increasingly exist on the edge, as concerns around privacy, security and latency Make edge-AI preferable over the traditional approach that relies on centralized AI systems. Manufacturers, however, are struggling with the consequences of adding AI to their edge-based products, mainly due to the expensive, bulky and power-consuming hardware required for running them. They’re seeking slimmer, battery friendly, and more cost-effective embedded solutions. This is why we’ll moreover witness a growing exact for more practical AI that can be mainstreamed affordably, without requiring massive hardware or cloud, and without compromising on character or performance”—Adi Pinhas, Co-founder and CEO, Brodmann17

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

    “Artificial and augmented intelligence will serve address their nation’s mental health crisis. According to the National Institute of Health, nearly one in five American adults suffers from a shape of mental illness. There are significant barriers to seeking care, including stigma, affordability and access. In 2018, the U.S. tidings cycle was dominated by tall profile notable suicides, the constant drumbeat of emotionally charged stories in the news, and divisive midterm elections. That brought primary conversations about mental health and depression to light for many people, thereby reducing the stigma. AI will be able to serve scale access to qualified providers and Make it affordable for people to regain the privilege smooth of care. Combined with technologies enjoy teletherapy and telepsychiatry, it will play an increasingly primary role in improving collaborative care. AI tools and data-driven algorithms will serve 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 occupy greater, faster penetration with more automation, allowing hackers to achieve greater success executing cyberattacks. Cyber defense must watch 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 spurious positives by up to 91%. Enterprises will seek innovative solutions that enable them to abide ahead of the next unknown threat”—Gilad Peleg, CEO, SecBI

    “In 2019, AI technology will finally be able to serve not just identify attacks, but moreover 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 abide in step with attackers ever-changing tools and techniques. Overall, AI expedites the time from attack identification to remediation by eliminating many of the challenges and burdens that occupy traditionally slowed-down the process. The implementation of such AI-driven technology will result in a major risk reduction for enterprises of complete sizes”—Eyal Benishti, Founder & CEO, IRONSCALES

    “Machines will initiate to understand understanding and effect—today, when machines (such as chatbots and virtual assistants enjoy Siri and Alexa) respond to us, it’s purely based on correlations. They enact not occupy 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 understanding and upshot over time through absolute common sense. In 2019, we’ll observe this arrive to fruition with machines as they collect and feed them more disparate data sources that enable them to build conditional probability distribution to understand the direction of causality”—Michael Wu, Ph.D., Chief AI Strategist, PROS

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


    SkyGiraffe Gets Strategic Investment From Microsoft To Mobilize Enterprises | killexams.com true questions and Pass4sure dumps

    Last they heard from SkyGiraffe, a platform to extend enterprise systems with mobile devices, it had raised a seed round from Angels (including Parker Thompson, a partner at 500 Startups) back in May. Today it announces it has taken a strategic investment from Microsoft Ventures. Terms were not disclosed but they understand from sources that the investment is more about strategy than injecting great amounts of cash. Because SkyGiraffe has key integrations with Microsoft technologies, this will give it significant distribution, and presumably, pass more traction than if it was out there on its own.

    The company was started by and Itay Braun, VP R&D, and Boaz Hecht, CEO. The latter says they Make it “easy for businesses to perform” on mobile. How it works is this: An IT manager downloads the client, installs SkyGiraffe Studio and then selects the back-end and data source to connect. IT can then define security access and other IT policies. Inside 30 minutes they betray an enterprise can provide employees with secure access to on-premise data from several backend systems. Thus, any Oracle or MS SQL DBA can build a mobile app that reads and writes from tables/views and stored procedures within a few minutes.

    In practical terms that means the skill to read and write-back live data to the company’s systems, both ERP and CRM. Normally this would require either a tall system integration project or hiring dedicated developers – but with their platform they betray it’s a very simple integration. The aboriginal apps are built for both iOS and Android devices so implementation and compatibility issues don’t really figure. Technically speaking, it’s biggest competitors are Capriza and IBM Worklight.

    SkyGiraffe’s platform provides secure access to live data, such as sales, finance, inventory, and operational information through a customizable mobile platform that can be implemented across an organisation.

    Rahul Sood, general Manager of Microsoft Ventures says the investment means SkyGiraffe is a “great case of talented founders that occupy utilized Microsoft’s programs for startups to enlarge their chance to succeed.”

    SkyGiraffe started their relationship with Microsoft through the BizSpark program and later were accepted into the Microsoft Ventures Accelerator in Israel.

    Enterprise companies can request an invite via their site, which is in private beta.


    Westpac recent Zealand Launches ACI Proactive Risk Manager for Fraud Detection & Prevention On IBM System z | killexams.com true questions and Pass4sure dumps

    June 17, 2009 09:00 ET | Source: ACI Worldwide, Inc.

    NEW YORK, June 17, 2009 (GLOBE NEWSWIRE) -- ACI Worldwide, Inc. (Nasdaq:ACIW), leading international provider of electronic payments software and solutions, today announced the implementation of ACI Proactive Risk Manager(tm) for Enterprise Risk solution on IBM System z(tm) at Westpac recent Zealand, one of the country's largest replete service banks.

    Westpac recent Zealand chose the ACI solution to strengthen its fraud detection and prevention capabilities, to protect against the rapidly rising volume of fraudulent activities occurring worldwide. The bank required a cost-effective, liable and comprehensive solution, in order to present the greatest protection to its customers.

    Terry Mortensen, Head of Fraud & Security at Westpac recent Zealand said, "Within a few days of implementing ACI's Proactive Risk Manager, it alerted us to fraud, which they were then able to prevent. Immediately, they were confident in assuring their customers, and prospective customers, that they can provide them the risk-free service they requisite in the current fiscal climate."

    "Fraudulent transactions are damaging many companies in the fiscal services industry today, and there is pressure not only from banking customers, but moreover the government, to control them," said Ron Totaro, chief operating officer at ACI Worldwide. "Innovative fiscal institutions, enjoy Westpac recent Zealand, are deploying Proactive Risk Manager to detect fraud early in the transaction cycle, to avert fiscal loss and negative brand impact."

    "Effective enterprise-wide fraud management is not easy to achieve. It not only requires significant processing power and scalability to handle the data volume and throughput, but moreover sophisticated functionality to enable accurate fraud detection," explained June Felix, general Manager for Banking and fiscal Markets at IBM. "Proactive Risk Manager on IBM System z servers can serve provide Westpac recent Zealand with the capability to grasp a holistic, enterprise-wide approach to managing fiscal crimes and operational risk."

    Westpac recent Zealand implemented real-time rules to monitor potentially suspicious transactions within the authorization process, therefore identifying and preventing fraud. The configurable rules scoring engine gives the bank the agility to respond to changing fraud patterns.

    Westpac recent Zealand has utilized ACI's BASE24(r) for its payment processing for 20 years, handling an medium of 1.6 million transactions per day. With the integrated combination of BASE24 and Proactive Risk Manager, the bank can provide a service that is faster, safer, more cost efficient and reliable.

    ACI welcomes Westpac recent Zealand to the growing community in Australia and recent Zealand of more than ten major banks that occupy licensed Proactive Risk Manager. Globally, more than 150 banks, processors and retailers rely on Proactive Risk Manager to monitor transactions at an enterprise smooth to identify and avert fraud on debit, credit and corporate cards; cheques; online banking; and merchants; and to detect money-laundering activity. Another 1,000 fiscal institutions access Proactive Risk Manager services through processor relationships.

    About Westpac recent Zealand

    Westpac is one of recent Zealand's largest replete service banks and has been operating in recent Zealand for over 145 years. The bank has 1.2 million dynamic customers, over 5,500 staff, almost 200 branches and over 500 ATMs nationwide. www.westpac.co.nz

    About IBM

    For more information about IBM System z servers, gladden visit www.ibm.com/systems/z.

    About ACI Worldwide, Inc.

    ACI Worldwide is a leading provider of electronic payments software and services to major banks, retailers and processors around the world. The company enables online payment processing, online banking, fraud prevention and detection, and back-office services. ACI solutions provide market-leading levels of reliability, manageability and scale, to more than 800 customers in 88 countries. Visit ACI Worldwide at www.aciworldwide.com.

    ACI Worldwide Pacific P/L Sarah Green +61 (0)2 9512 0235 sarah.green@aciworldwide.com ACI Worldwide Catherine Eyres +44 (0) 1923 812741 Catherine.eyres@aciworldwide.com


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