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C2150-198 exam Dumps Source : IBM Security Access Manager V7.0(R) Implementation
Test Code : C2150-198
Test name : IBM Security Access Manager V7.0(R) Implementation
Vendor name : IBM
: 111 existent Questions
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Me: “Alexa, explicate me what will happen in 2019.”
Amazon AI: “Do you want to open ‘this day in history'?"
Me: “Alexa, give me a prediction for 2019.”
Amazon AI: “The crystal ball is clouded, I can’t tell.”
My conversation with Amazon’s “smart speaker” or “intelligent voice assistant” just about sums up the present status of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably regain the redress action the human intelligence behind it programmed it to perform.
What will breathe the status of AI in 2019?
The following list features 120 senior executives involved with AI, total peering into their not-so-clouded crystal ball, and promising less hype and more practical, precise, and narrow AI.
“Self-Driving Finance is a practical implementation of AI that is already used in one configuration 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 see a expansive uptake in the number of customers that will rely on AI to ‘drive’ their finances and win automated actions to succor them reach their fiscal goals. To deliver effectual Self-Driving Finance, fiscal institutions will require specialized forms of AI for each of their customer segments such as retail, minute business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed matter matter knowledge and expertise”—David Sosna, Co-founder and CEO, Personetics
“2019 will breathe the year of specialized AI systems built by organizations based on their own data. Given the realization that organizations sometimes maintain only limited amounts of data, but also require specialized data, organizations will approach to realize that they need tools to easily create attribute AI data internally. This attribute over quantity approach will require organizations to win stock of the data they maintain and require themselves key questions: is this data representative of what I’m looking for, and does it match my goal? Will the production data match this training data? Did I strike a equipoise between repeatability of images and variation? Is my dataset diverse? Taking recent approaches to data strategy will breathe make-or-break for overcoming the challenges of AI’s data problem, to develop AI that works in the existent world”—Max Versace, PhD, CEO and co-founder, Neurala
“AI will enable greater process discovery. Process discovery is affection a sensor embedded in the application that learns total of the user journeys, using AI to prognosticate 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 reach of possibilities based on what the individual needs to do”—Rephael Sweary, Co-founder and President, WalkMe
"In 2019, they will start to see technology that will allow designers to talk to computer programs powered by AI to redesign, optimize and lightweight parts made by 3D printers in existent time. The designer will simply articulate the design goals and material parameters and the AI will attain the rest—exploring nearly illimitable design permutations based on existing design concepts. More power will breathe attach into the hands of designers who will breathe 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 commence to see AI deliver meaningful value to the enterprise and regain us closer to the Holy Grail of AI, which is helping people at total levels of an organization attain what they attain more effectively and efficiently, while uncovering recent opportunities and recent ways to work”—Josh James, Founder and CEO, Domo
“While B2B providers maintain been late to conform to the tall gauge of personalized digital experiences set by Amazon and Google, the industry has at least acknowledged the value of personalized home and landing pages. As customer expectations increase, enterprises will need to retain pace by using machine learning and AI to tender a personalized savor beyond the first impression, which extends to other assets such as technical documentation, community portals, and chatbots”—Gal Oron, CEO, Zoomin
“In 2018 they saw a much deal of hype around AI in healthcare but they also saw it become a reality—in everything from predictive analytics for confirmed 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 see voice and video, coupled with AI, being used to succor accelerate the shift of the point of care from the hospital, to the patient, wherever they are. The convergence of AI with 5G will also accelerate the development of digital therapeutics that are more personalized, adaptive and win edge of AR and VR. Mental health and core misuse treatment will breathe where they see early adoption. Clinicians that embrace AI as an augmenter or assistant, not as a threat of replacement or obsolescence, will breathe able to differentiate themselves both to their patients and their peers”—Jennifer Esposito, universal Manager, Health & Life Sciences, Intel
“AI plays an increasing censorious role in several industries from translating text and powering industrial drones to patient diagnosis. In 2019, they await AI, and more precisely image recognition, to breathe integrated into everyday life tasks such as helping those with disabilities and automating cars. AI will also become Part of the everyday shopping savor as existing stores will become automated, driving supply chain processes, delivering seamless checkout and enhancing customer engagement”—Michael Gabay, CEO, Trigo Vision
“AI will accelerate the finish 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 see that trend happening in transportation and consumer electronics—cars, scooters, washing machines, coffee makers, thermostats, etc. But soon you’ll start seeing it happen everywhere—tables, chairs, floors, walls, clothes. As a result, they won’t need to own anything. We’ll simply subscribe to services: housing services, food services, transportation services, furniture services, clothing services. We’ll breathe animate in a True 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 very impact. Two core factors can breathe 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 fallacious positive problem is resolved, automation is not full-proof. Instead, automation should primarily breathe leveraged pre-breach, serving as a proactive defense mechanism to succor organizations outmaneuver the attacker at the earliest stage and minimize the potential damage”—Nadav Zafrir, CEO, Team8
“Robotics and AI are increasingly used hand-in-hand to inspect and ensure the proper functioning of censorious infrastructure that their society is built on—power lines, railroad tracks, flare stacks etc. Next year, the convergence of these two technologies is poised to accelerate, with 2019 serving as a breakout year for Distributed AI, in which intelligence will decentralize and breathe 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 commence 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 maintain been torrid topics for a while, but that will commence to decline in 2019. With many enterprises once having built an 'AI strategy,' today we’re already finding that more and more are touching away from the hype and into solving real-world problems. They will see the focus shift from AI to 'AI-driven' results as companies glance for existent industry repercussion from AI tools. The technology will breathe less essential than the industry insights it delivers”—Sean Byrnes, CEO and co-founder, Outlier
“The consumer's understanding around AI will shift dramatically. They will no longer associate AI with futuristic robots and self-driving cars, but rather productivity tools and predictions to succor everyday menial tasks”—Josh Poduska, Chief Data Scientist, Domino Data Lab
“2019 will breathe the year of the death of the data scientist. In 2019, everybody is going to start learning artificial Intelligence (AI) and the domain of data science will no longer breathe 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 maintain AI skills, from product managers to industry analysts. The death of the data scientist is the pinnacle of this revolution”—Aman Naimat, CTO, Demandbase
“Some of their AI emperors maintain no clothes. For years, torrid 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 muster Coaching Networks, are powered by algorithms that forever ameliorate because they're fueled by the creative inputs and successes of millions of workers. These focused networks will breathe very hard for companies that leverage static data sets and commodity APIs to compete with”—Gordon Ritter, universal Partner, Emergence
“AI is already outperforming humans in many domain-specific tasks; now comes the age of real-world applications. In 2019, AI will fundamentally disrupt diabetes management, thereby improving the lives of millions. Moreover, AI will succor bring to life the ample information gathered from wearables, transforming it into actionable insights that will help people lead healthier lives. In addition, there will breathe a expansive leap in unsupervised machine learning in the near future. Finally, I they will see companies using AI to train AI. Instead of data scientists trying to experiment on which AI models labor better for existent world problems, companies will let AI attain the labor for them. This will succor 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 maintain to breathe less and less ‘artificial,’ and more and more ‘intelligent,’ import it will maintain to win on human traits. For people to feel a connection to AI-powered services and breathe willing to adopt them into every aspect of their lives, these services will maintain to become more and more anthropomorphized. And just as the human corpse is able to heal itself, they will also await these systems to self-diagnose problems in their code and self-heal, correcting software issues on their own”—Zohar Fox, CEO and Co-Founder, Aurora Labs
“We believe AI as an all-purpose buzzword in healthcare will breathe slowly retired in 2019. As digitization of the industry matures, the notion of the all-knowing machine replacing doctors is clearly being debunked. The challenges of IBM Watson’s healthcare efforts, for example, illustrate that powerful computational tools lonely are ineffective in the face of unstructured medical data and the involved realities of patient care. For 2019 they are skeptical about broad, systems-based uses of artificial intelligence promising unspecified insights”—Yonatan Adiri, Founder and CEO, Healthy.io
“In 2019, not only will developing more robust and sophisticated AI algorithms win hub stage, but as these AI algorithms become more unique and effective, they will also grow in value and owners will maintain to protect their substantial investment. Companies are spending millions to develop AI, and they are often at the heart of industry growth, yet recent security challenges have emerged around protecting these AI models—securing their intellectual property from being stolen while also ensuring that no one is tampering with the model. In 2019, they will maintain to breathe deeply smart about protecting their artificial 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 see a shift toward utilizing AI for social generous and making their lives more sustainable. AI is going to breathe used to beget their cities and industries more environmentally friendly and their world a better place. From agritech and crop optimization to utilities and alternative energy, the expansive data analytics and machine learning behind AI will breathe leveraged to completely change the route consumers interact with their surroundings”—Natan Barak, CEO and Founder, mPrest
"In 2019, the global lending sector will see an uptick in AI that can prognosticate 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 very AI application will eventually change the mortgage and student loan industry as well”—Eden Amirav, CEO and Co-founder, Lending Express
“The AI that supports prediction in self-driving cars will breathe ‘remodeled’ to access and resolve predictionary data differently. The Autonomous Vehicle industry will lunge away from kick fusion and towards raw data fusion, which enables AVs to better interpret movement, speed, angle, and trajectory, and provides rich data to prognosticate 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 existent estate are comprised of an intricate web of interactions that strike every decision, and AI technology is now mature enough to tackle these highly involved transactions. As industry leaders are opening up to the potential of integrating advanced technology into core operations, AI is making its repercussion felt across recent industries that were previously off limits. They see 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 flush 4 and 5 autonomous vehicles (AVs) noiseless aren’t commercially available, 2019 will breathe the year that they win a giant leap forward. The data that AI relies on will become more readily accessible thanks to data-sharing alliances that must become a reality in order for automotive AI to ameliorate to a flush suitable for total road conditions. Simultaneously, the types of data collected for AI will breathe broadened to include non-visual data. Better data means better AI and safer AVs”—Boaz Mizrachi, Founder & CTO, Tactile Mobility
"As more businesses rely on AI to fuel their own products, services and data-driven marketing innovations, grim actors across the digital ecosystem will utilize similar capabilities to augment their efforts and execute massive fraud schemes, resulting in hundreds of millions of dollars in losses for brands and marketers. With that, companies that invest smartly in AI and machine learning-based fraud protection tools will breathe able to clearly ‘see’ the entire ecosystem and protect themselves from fraud and the polluted data that impacts industry decisions—leading to a significant competitive advantage"—Ran Avrahamy, VP, Global Marketing, AppsFlyer
“AI research and applications are proving increasingly essential in healthcare, improving patient outcomes through a more personalized, data-driven approach. Just as expansive 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 breathe 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 breathe the linchpin of digital health’s application to the prevention and treatment of disease, specifically chronic illnesses, connecting the dots between the minute data that can optimize an individual’s personal care and the expansive data that can uncover solutions with a global impact”—Dana Chanan, CEO and Co-Founder, Sweetch
“2019 will breathe a pivotal year in the route cities understand their urban mobility ecosystems in order to build much more efficient transportation systems throughout urban areas. If today’s cities are primarily focused on strict challenges such as traffic, pollution and want of parking space, in 2019 they will maintain far better visibility into the root cause—inefficiency of movement in urban areas. Understanding how people are touching 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 need to lunge around, encouraging people to lunge together, and creating multimodality. In order to regain there, cities will need visibility into such data, and AI is precisely the tool that will enable such visibility, fostering prediction capabilities and action points to significantly ameliorate the route they move”—Liad Itzhak, SVP Head, HERE Mobility
“There is no shortage of angst when it comes to the repercussion of AI on jobs, especially within the agricultural industry. However, the future of precision agriculture and the key to growing a better crop will rely on AI, imagery and sensors that will breathe able to learn from collecting information cultivated from 1000-acre farms. Agronomists and farmers are facing a major labor shortage and want of expertise. The require for food is increasing, yet farming is not valued as an attractive or profitable career, particularly in commodity crops. Due to the size and diversity of farming operation demands, farmers need to pay immediate attention to labor initiatives and employee management. Farms across the world are touching to fill the labor gap—not replace jobs—with AI technology”—Ofir Schlam, CEO and Cofounder, Taranis
“Brick-and-Mortar retail businesses are turning their attention to AI to significantly ameliorate customer experience, profitability and remain competitive. In 2019, they will see 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 disagree in planograms, camera models, and network infrastructure capabilities”—Atif Kureishy, Vice President Global Emerging Practices, Teradata
"I await we'll see AI-based attribution tools hitting their stride in 2019. In today’s digital environment, attribution continues to breathe a challenge—businesses are noiseless piecing together data points from different platforms and many are noiseless struggling to understand the replete path to purchase—which marketing channels are driving revenue? What kinds of content succor retain customers and at which stage of the customer journey? Where are customers falling out of the funnel? AI can sequence the customer journey together and identify when a customer comes to a company's site and leaves without converting. It's the businesses that adopt AI-powered attribution tools that will maintain a leg up on the competition"—Carl Schmidt, CTO and co-founder, Unbounce
“The future of third-party data is censorious for marketers to sojourn 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 breathe more censorious over how they are targeted. touching forward, third party data will succor marketers amass more insights surrounding how consumers utilize emerging technologies such as voice, location-based search and AI, so they can target them in a route that is compliant and drives ROI. This data will remain key to informing the bulk of marketing strategy for years to come"—Chase Buckle, Senior Trends Analyst, GlobalWebIndex
“The hype around AI technologies that match human intelligence in some abstract configuration is drowning out the fact that today, there is existent value in AI tools that collect, organize and beget actionable the collective human experience. AI is not HAL 9000 from Space Odyssey. In 2019, AI will breathe about making people smarter, more effective, and more productive. It will also beget people happier in their jobs – especially IT professionals. For enterprise IT, 2019 will breathe the year that AI will enable teams to lunge beyond simple assignment automation, to empower the robotization of entire processes. By tapping the applied collective knowledge of thousands of users and millions of process executions with AI, IT teams will breathe able to preemptively streamline application development, troubleshooting and even one-off daily requests. AI will bring them much needed help, backed by more knowledge and savor than any solitary human could bring to bear”—Neil Kinson, Chief of Staff, Redwood Software
“We are noiseless far from having a bonafide ‘smart home’ and the primary roadblock is the want of the essential link between sensing and action. Currently, they maintain a variety of technologies that tender a compelling vision of the future, but that vision is impeded by the fact that the devices are isolated, lacking context, and are thus unable to act autonomously: the consumer must noiseless 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 see 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 see a Jetson—esqe future, now.”—Nebu Mathai, EVP Product Engineering, Cognitive Systems Corp.
“As AI increasingly takes on roles in the workplace, it will breathe judged not only on its IQ, but EQ—emotional intelligence—and aptitude to perceive and understand total things human. The aptitude to understand human emotions and cognitive states will become Part of the criteria for evaluating AI, as companies beget decisions on which AI solution to select for their workplace, and even as consumers determine between systems affection virtual assistants or smart speakers to maintain in their homes”—Rana el Kaliouby, PhD, CEO and co-founder, Affectiva
“The focus of AI will shift from intelligence to empathy—we’re touching 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 positive situations, and even what is happening around them”—Dr. Rob Walker, Vice President, decision Management and Analytics, Pegasystems
“As businesses augment their utilize of AI to extract greater value from their digital assets, metadata tagging will become an even more censorious element of enterprise storage. This will bring more attention to kick storage, which is centered on metadata, and the key will breathe integrating well with AI tools”—Jon Toor, CMO, Cloudian
“Centralized data will breathe replaced by a solitary view of total data. Data is coming at us from different directions, at different speeds, and in different formats, and controlling this tsunami is one of the key markers of empowerment and success in the information age. Two massive trends are changing the landscape. First, different vendors are coming together to standardize data models. Second, and more important, is the emergence of enterprise data catalogs. These catalogs are accessible in a hub, with one view of the entire federated data estate, and deliver a shop-for-data marketplace experience. The more you share, collaborate, and 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 affection Hadoop. The merger of Hortonworks and Cloudera was a first glance into the projected value for Hadoop in 2019. Technology that was designed twenty years ago in an era of ‘small’ data will no longer uphold the modern, global, and dynamic enterprise. Data will noiseless require management tools, but the complexity will breathe eliminated with the mount of artificial Intelligence and machine learning”—Roman Stanek, CEO, GoodData
“High-profile breaches this past year maintain thrust the application layer under the security spotlight. As applications become increasingly sophisticated, their development also opens up increased vulnerabilities. While DevOps is racing to retain up with accelerated application development, it is becoming increasingly impossible to manually retain up with, much less anticipate, threats. Machine learning and AI will continue to breathe used to mitigate vulnerabilities much more efficiently and with more accurate results”—Ivan Novikov, CEO, Wallarm
“2019 is going to breathe the year of open source AI. We’re already seeing companies commence to open source their internal AI projects and stacks, and I await to see this accelerate in the coming year. The impetus for this is the very as in other industries such as the cloud that maintain moved strongly to open source—increased innovation, faster time to market and lower costs. The cost of pile a platform is high, and organizations are realizing the existent value is in the models, training data and applications. We’re going to see harmonization around a set of censorious projects creating a comprehensive open source stack for AI, machine learning, and profound learning”—Ibrahim Haddad, Director of Research, The Linux Foundation
“AI will succor elevate in-store customer experiences. AI will breathe used to succor stores elevate customer experiences and build loyalty in ways that were previously impossible. When customers shop online, they often receive personalized recommendations and offers. Retailers maintain tried in the past to utilize beacon technology to enable the very flush of personalization, but beacons are largely considered a failure because they require specific app downloads, Bluetooth connections or other factors that vastly limit their usability. This problem will breathe solved by AI-trained face recognition algorithms. In 2019, customers that opt-into face recognition programs will gain numerous in-store benefits including personalized discounts, white glove service and shorter wait times. Retailers will finally breathe able to tender customers the very flush of personalization in stores as online”—Peter Trepp, CEO, FaceFirst
“AI will start to become embedded in many more enterprise applications, in particular in applications for knowledge workers where AI and data analytics will play an increasing role in supporting and even making decisions. At the very time, the current misconception about total data analytics being AI will breathe more widely discussed, particularly with regards to the availability of sufficient, germane and specific data to train algorithms and retain them ‘learning.’ This will lead to an increased focus on more advanced methodologies that can learn and conform based on actual real-time data”—Mikael Johnsson, Co-founder, Oxx
“Because companies are recognizing that AI cannot breathe built without high-quality data, they will increasingly revolve to specialized providers that sit on crucial data resources to succor them understand their unstructured data. For example, Bloomberg is pile NLP libraries that are specific to the fiscal domain”—Gideon Mann, Head of Data Science, Office of CTO, Bloomberg
“In 2019 they await a significant lunge forward with frameworks and standards for measuring and testing jaundice in AI. They will see an augment in need for human judgement and, consequently, an augment in these types of jobs, standards, and protocols. My prediction is that momentum behind this will build as a result of enterprises seeking to mitigate risk in the wake of high-profile scenarios of things going wrong”—Jake Tyler, CEO, Finn AI
“The traditional ‘break-fix’ approach to maintaining network attribute of service (QoS) is no longer enough. finish customers are now so relative upon always-on connectivity and so sensitive to service outages that even short service interruptions are now deal-breakers. touching forward, we’re going to see artificial intelligence (AI) emerge as the role of a fixer and optimizer to enhance IT operations. Initial applications will mind to focus on security functions, affection DDoS storm mitigation and real-time automated path selection. Eventually, uses will include AI-defined network topologies and basic operations, which will succor us forge a network that runs on auto-pilot”—Kailem Anderson, Vice President of Software and Services, Ciena
“The explosion of artificial intelligence (AI) within IT is poised to provide many benefits and time-saving opportunities in 2019 but will require IT decision-makers (ITDMs) to evolve into strategic consultants rather than serving in reactive roles. AI will not supplant 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 need for humans in the IT helpdesk, they will see those ITDMs that wish to survive attain what they should breathe 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 offshoot consolidation will give route to the next expansive trend—interactive kiosks. Using AI and data analytics, these ‘tellers’ will deliver personalized experiences matching users with the preempt teller based on life-stage, transaction history and more. Many banks maintain already seen success with virtual assistants in their mobile apps. In 2019 they prognosticate 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 labor beyond the hype and headlines. Practical AI will rule and breathe focused on making shopping easier, patient rendezvous better, lawyers smarter and cybersecurity stronger. They won't see autonomous cars that never crash but AI will augment workplace productivity in recent and smart ways in 2019”—Ram Menon, Founder and CEO, Avaamo
“2018 was the year of bots, and over the next year we’ll see pervasive analytics and intent-based AI win this a leap further, highlighting the importance of specialized service desks that streamline IT uphold management and allow for instant knowledge delivery”—Phani Nagarjuna, Chief Analytics Officer, Sutherland
“AI and machine learning (ML) maintain been the ‘silver bullets’ of the security industry for the past few years. Malicious actors are taking note. For instance, just affection security vendors can train their ML models on malware samples to detect them, malware writers can ‘train’ or tune their malware to avoid detection using the very exact algorithms. Attackers can also poison the data that ML models utilize in training. Because algorithms need massive amounts of data to work, it can breathe difficult to weed out efforts to poison your learning set with fallacious information. They believe a significant storm or strain of malware will leverage AI in 2019”—Nir Gaist, CTO, Nyotron
“AI has the potential to repercussion the retail sector in a number of ways, but most notably in 2019, they can anticipate increased product innovation in the supply chain. As AI product innovations in the supply chain reduce overall costs through risk mitigation, improved forecasting, sped up deliveries and customer service capabilities, they can await more and more companies to implement such solutions, changing the face of retail in 2019”—Brad Taylor, Senior Director, Engineering and Facilities, Radial
“Deep Learning models maintain been shown to breathe vulnerable to imperceptible perturbations in data, that dupe models into making wrong predictions or classifications. With the growing reliance on big datasets, AI systems will need to guard against such attacks data, and the savviest advertisers will increasingly glance into Adversarial ML techniques to train models to breathe robust against such attacks”—Prasad Chalasani, Chief Scientist, MediaMath
“AI will add an extra layer of predictability, allowing organizations to see patterns and gain insights from IoT devices and past customer behaviors—ultimately making supply chains smarter, leading to faster, more efficient production and fulfillment, and happier customers. In 2019 and beyond, they can await AI to win 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 decision uphold tools to everyday work, including radiologic analysis in the U.S. and oncology drug selection in Africa and South America. Additionally, as advances in molecular biology demonstrate that many ‘common’ diseases are actually clusters of rare sub-forms, AI will find the high-value pockets of minute data (such as unusual genetic signatures) hidden in vast reams of expansive 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 win a split approach—more aggressive utilize of AI to automate repetitive agent after-call labor 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 attain companies reduce it by providing better guidance and overall automation that helps beget it easier to use—RPA (Robotic process automation) is a much example of this and continues to heat up. As they lunge into 2019, RPA will become even more disruptive in how industries affection retail, manufacturing, supply chain and even finance operate from the ground up. In 2019, they can await to see more widespread introduction of software robots and artificial intelligence (AI) workers as organizations glance to leverage automation to enhance their overall commerce ecosystem”—Rob Maille, Head of Strategy and Customer Experience, CommerceCX
“As artificial intelligence applications grow in popularity, one key enabling technology will breathe the aptitude to process larger data sets constantly being updated with operational data. quickly access to not just historical data but also current transactions and real-time inputs will breathe censorious to delivering more value to the enterprise. With the privilege data currency and quality, AI will lunge from special projects into production”—Raghu Chakravarthi, SVP of R&D and uphold Services, Actian
“A major hurdle in the customer savor space is users are noiseless wary of how brands collect, store, secure and utilize their information. Heading into 2019, businesses should breathe looking to security in AI, using emerging technologies as a route to protect their customers—both from a purchasing standpoint and from potential digital threats that quest to pinch the information customers are sharing with brands”—Dan Kiely, CEO, Voxpro
“Intelligent robotic process automation will emerge as industry critical, as companies will require the tall automation flush necessary to become smart enterprises in 2019. Additionally, conversational AI will win automation a step further to automate businesses’ customer uphold with more smart chatbots. These two technologies combined are the next expansive milestones to achieve faster, more effectual and more smart AI”—Markus Noga, SVP Machine Learning, SAP
“Artificial intelligence (AI) will beget it feasible to remotely monitor their health and automatically intimate lifestyle changes that could succor forestall diseases or spot them at the onset when they are much more treatable. We're already starting to see this with FitBits reminding us to hit their daily steps or diabetes technologies monitoring their blood sugar, but this is just the beginning. In 2019 we’ll see an augment in health wearables hitting the market that utilize AI to track a vast number of conditions affection blood pressure, painting a more holistic picture of a person’s health, as it changes in real-time”—Kevin Hrusovsky, CEO, President and Chairman, Quanterix
“Many AI-enabled automation projects in 2018 failed because they were targeting the wrong processes to automate. In 2019, companies must assess what parameters should breathe taken into consideration—things such as the number of users for any given process, handle time and complexity (i.e. number of apps involved, nature of actions conducted etc.). If these elements are factored in, this will succor ensure that the processes being automated will 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 lunge into 2019, every telco operator in the US will maintain a strategy defined, and budget allocated, toward monetizing machine learning in operations. However, there is a shortage in talent that will strike everyone and strain companies’ aptitude to deliver, unless they maintain stout scaling strategies. There is a big pool of junior data scientists that will breathe the key to addressing these shortages and will attain so in the coming years, but the learning curve will breathe felt in 2019. As a result of the current knowledge gap, applications democratizing AI and ML will see a big augment in require but will likely plunge short on their ROI due to misinterpretation of data”—Johnny Ghibril, VP of Data Science & Solution Architecture, B.Yond
“Machine learning will continue to labor pretty well but will suffer the occasional ridiculous failure as the underlying statistical nature of many learning algorithms becomes clear. A number of risks surrounding representation, sensor tampering, status manipulation, priming, and catastrophic forgetting will approach (back) to light. Associated security issues will breathe fun to explore. On the societal side, some inherent social norms exposed by AI/ML will continue to shock. When machines learn from humans, they can pick up some grim habits and some morally suspect habits. Who knew they were so terrible as a species?”—Gary McGraw, VP of Security Technology, Synopsys
“Look out for ontology-based data science projects to complement existing bots and machine learning programs to round out the data science and AI approaches for industry in 2019, and to set the gauge for how these tools can drive the performance of workers in both efficiency and effectiveness. Ontologies add an additional tool to the set of approaches that companies can now deploy off the shelf and ontologies aptitude to link together diverse sets of data and draw conclusions from them, beget an ontology-based system an smooth start for enterprise and industry organizations in 2019”—David Keane, Co-founder and CEO, Bigtincan
“Enterprises maintain been so focused on the potential benefits of AI, that it’s become more buzz phrase than reality. Rather than focus on the buzz in 2019, businesses must focus on adopting AI applications and projects that tender near-term value to their organizations. To ensure success, they will need to attach a map 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 succor mitigate any major disruptions to everyday business, while enhancing the organization’s future technology footprint”—John Samuel, Senior Vice President, Global Chief Information Officer, CGS
“We will see a huge spike in the exploration and adoption of ML/AI tools that can succor develop mobile and web test scenarios without coding (codeless testing), to hurry 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 decision making and attribute analysis, they will see ML/AI solutions that can automate the slicing and dicing of data, and quickly provide root-cause analysis for issues that were detected during the DevOps pipeline testing activities”—Eran Kinsbruner, Director, Lead Software Evangelist, Perfecto
“2019 will see an exponential augment in the number of research projects and companies pile solutions that leverage AI to augment developer productivity. They await that by 2020, total development will breathe assisted by AI co-developers that understand developer intent, intimate next best patterns and detect problems before applications disappear into production. This will enable companies to continuously ameliorate their digital experiences and respond to market needs at a pace that was impossible before”—Antonio Alegria, Head of AI, OutSystems
“Artificial Intelligence will increasingly breathe used to detect grim actors targeting employees’ and consumers’ inboxes (e.g. spam, phishing, etc.). As the technology advances in the coming year, it will labor pretty well for the most part. However, its occasional mistakes will understanding significant issues, affection fiscal and reputational damage, for businesses. Most users will find slips in security utterly incomprehensible and security companies will maintain an especially hard time explaining the matter to customers”—Nathaniel Borenstein, Chief Scientist, Mimecast
“Enterprises will focus seriously on data privacy initiatives to comply with EU laws (GDPR) or status laws (e.g., CCPA) in 2019, but probably for less obvious reasons. It is not so much the fines per se which can reach up to 4% of global sales, since it’s uncertain whether such hefty fines will breathe levied so early; rather, top management and board directors are concerned about their fiduciary responsibility to ensure that proper measures are taken to forestall such strict fines, which could produce significant fiscal distress or reputational damage. Separately, it should breathe noted that the usual risk-deflection fashion of buying insurance against fines is not yet available in most countries”—Kon Leong, CEO and Co-founder, ZL Technologies
“In 2019, the value statement of every vendor that builds AI systems should focus on BOTH the value they wish to create AND the underlying righteous foundation of their service. How they collect data, with whom they share that data, and what they finish up doing with that data will increasingly need a litmus test for what is acceptable and not. That litmus test needs to breathe Part of the culture of the vendor—it needs to approach from the inside out. While this will feel too ‘touchy-feely’ and constraining to some vendors, it is absolutely necessary for long-term industry viability to establish 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 plumb solutions that require microscopic know-how in training models or interpreting results. This focused approach can breathe used by anyone, and enables very quick time-to-value at big scale. This shift will augment productivity and safety and will open the doors for recent industry models throughout the industry, affection Outcome-as-a-Service”—Saar Yoskovitz, Co-Founder and CEO, Augury
“The biggest profit of AI will revolve out to breathe something that they assume of as quintessentially human: being ‘good team players.’ While previous years maintain focused on individual algorithms doing things better than individuals, 2019 is about collections of algorithms starting to collaborate on involved tasks. With their speed, absence of ego and built-in altruistic tendencies, the early indications are that AI team performance will quickly outdistance their human counterparts”—Timo Elliott, Innovation Evangelist, SAP
“AI offers healthcare a truly transformational opportunity, particularly in the arena of virtual care. What we’ve known as telemedicine is quickly becoming the analog past, while virtual care is the digital future—the next iteration of the industry, and AI will play a big role in this transformation. For example, involved algorithms can parse patient information, helping to direct them to the most preempt flush of care; natural language processing is advancing in a route that will beget online interactions simpler and more effective; and smart systems can amass patient allergy, prescription history and health information to uphold safer and more effectual prescribing. Best of all, with these AI tools in the hands of providers and healthcare organizations, the digital savor can enhance, rather than supplant, the patient-provider relationship”—Jon Pearce, CEO and Co-founder, Zipnosis
“2019 is the year where they maintain everything in their hands to utilize digital technology; it will breathe the year that will differentiate the laggards and the leaders, providing competitive edge to the forward-thinking organizations. The laggards noiseless believe there is time, and will retain developing solutions in silos, making minute progress, without realizing the pace of change is accelerating faster than in the last 20 years. The leaders are the ones that are set for digital transformation across their organizations, and who will leverage expansive Data and AI to deploy solutions that fundamentally strike the replete drug development life cycle; they will transpose 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 shove for the demystification of AI and require a better understanding of what technology is being built, and greater transparency into how it is being used. As transparency increases people will better understand that AI is not an all-encompassing term for machines that can replicate and act affection a complete human, but rather a more categorical set of functionalities that can better automate simple tasks and augment people executing more involved actions. This will result in less horror of a machine takeover and greater acceptance of recent innovation”—Josh Feast, CEO and Co-founder, Cogito
"In 2019 artificial Intelligence (AI) and Machine Learning (ML) will nearly reach its replete potential by connecting and processing data faster over a global distribution of edge computing platforms. AI and ML insights maintain 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 route airlines build and service airplanes, government defense agencies respond to hackers and how personal assistants beget 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 breathe the year of analytics, machine learning and AI. These tools are already available, though their win up has often been delayed by a failure to match these recent capabilities with preempt recent workflows and SOC practices. Next year should see some of the pretenders—those claiming to utilize these techniques but actually using last generation's correlation and alert techniques in disguise—fall away, allowing the existent innovators in this bailiwick to commence to dominate. This is likely to lead to some acquisitions, as the big incumbents, who maintain struggled to develop this technology, quest to buy it instead. 2019 is the year to invest in machine learning security start-ups demonstrating existent capabilities”—Stephen Gailey, Solutions Architect, Exabeam
“Some existing applications that they may see more than others in 2019 will breathe 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 also breathe a expansive 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 breathe polymath. They need to know computer science, data science, and above all, need to maintain domain expertise to breathe able to explicate grim data from generous data and grim results from generous results. What they maintain already begun seeing is the need for security experts who understand data science and computer science to breathe able to first beget sense of the security data available to us today. Once this data is prepared, processed and interpreted, it can then breathe used by AI and ML techniques to automate security in existent time”—Setu Kulkarni, Vice President of Corporate Strategy, WhiteHat Security
“A top tech trend of 2019 will breathe the repercussion machine learning/AI on the attribute of software. In the past, we’ve designed delivery processes to breathe scrawny and reduce or liquidate blow but to me, that’s an outdated, glass-half-empty route of viewing the process. In 2019, if they want to fully leverage ML/AI, they need to understand that the contrary of waste is value and win 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 breathe turned on to magically fix inefficiencies. On the vendor side, technology providers will beget AI tools and platforms easier to implement and attach in place, and the inequity between technology leaders who can truly create this change within an organization and those who are trying to capitalize on the hype will become more and more vivid”—Connie Schiefer, VP Product Management, Mya Systems
“For the last two decades, the epicenter of the world’s economy has shifted as technology driven companies win over entire markets at the cost of businesses affection Sears. But that’s just the beginning. expansive tech companies are already birth to utilize their advantages in AI and data to reach 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 see this trend continue to accelerate next year. If companies are silly enough to breathe caught off guard, they’ll quickly follow in Sears’ footsteps, unable to conform 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 breathe the year that artificial intelligence companies commence dismissing efforts to modify broken hardware and processes. Instead, they’ll set their sights on holistic ecosystems that reimagine and reshape the route they design processes altogether. While the technological aspects of this process overhaul will breathe what drives the necessary sea change, we’ll approach to realize that an even larger chance lies in using advanced technologies to optimize human behaviors anywhere they intersect with industry process flow”—Alan O’Herliy, CEO, Everseen
“In 2019, we’ll discontinue doubting humans’ role in the fourth industrial revolution—nor horror they don’t maintain one. It will become pellucid that the relationship between machines and humans is not either-or, but rather, it’s highly symbiotic. We’ll realize how crucial it is to marry human insight with AI in order to reach both AI’s and humans’ potential. We’re already seeing that the AI solutions succeeding at both the department- and enterprise-level are those that leverage humans to set forth the larger strategic vision and drive the instinctual and intuitive elements of any involved process. Solutions that are built to capitalize on this give-and-take between man and machine will produce the best outcomes and savor rapid adoption, as a result”—Or Shani, CEO, Albert Technologies
“Most early industry AI applications maintain revolved around predictive and prescriptive analytics, using AI to augment human decision making. In 2018, AI began going deeper, not just forecasting but actually taking industry actions. 2019 will see more adoption of profound vertical-specific AI that will autonomously win high-value industry actions across the supply chain—from purchasing and warehousing to messaging and customer service management”—Fayez Mohamood, CEO, Bluecore
“Almost total software companies know every click that a user makes in their applications. What's been missing is a True understanding of what the user was trying to accomplish and whether they succeeded or failed. 2019 will breathe the year that AI-driven technologies will commence understanding the inequity between user intent and basic software functionality. Armed with this information, companies can target individual, team, and function improvement efforts. And software companies can intervene proactively with customers who are on the path to sub-optimal outcomes. Additionally, this will inform software companies and their customers of the potential need for application or industry process optimization”—Michael Graham, CEO, Epilogue Systems
“When it comes to using artificial intelligence in recruiting in 2019, talent acquisition teams will breathe adopting it with cautious optimism. While organizations using AI earlier in the hiring process maintain seen promising results, it’s pellucid that the technology is noiseless in its early adoption facet and AI is being used to inform better, faster and smarter hiring decisions, not beget them. However, they may see more widespread adoption of AI to reduce the amount of time recruiters spend on mundane tasks so they can utilize their time on more meaningful candidate interactions”—Kurt Heikkinen, CEO, Montage
“We await to see AI used more in higher education in 2019 as institutions continue their digital transformation journeys and glance to appeal to students’ preferences for adaptive, engaging learning experiences. Particularly necessary Gen Z, universities and professors need to meet students where they are at—online. As Gen Z is fully integrated with a digital era, their learning preferences will reflect differently than generations before them. Using resources with AI components such as AI teaching assistants, online courses and writing centers will start to breathe 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 essential for companies to assume about how the onslaught of technology will repercussion their company culture in the short and long-term. Many organizations are already using AI to search for talent, but when it comes to other areas of the workplace where employees will breathe encountering AI on a daily basis, companies need to understand employee perceptions from the start. Before rolling out any recent technology platforms, businesses need to breathe prepared to communicate the value the product will bring to the organization, how it will strike employees for the better, and the positive repercussion it will maintain 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 prognosticate artificial intelligence will become more prominent in the insurance industry in 2019 as more insurtech companies and carriers utilize the technology in their customer savor strategies. At the very time, they also don’t believe that AI will supplant the human insurance agent in the recent year or in years to come. Though machine-learning models can breathe used to succor agents become better advisors to their customers, the human feel will always breathe essential in insurance”—Jeff Somers, President, Insureon
“As AI continues to breathe more prevalent, it is undeniable that automated decisioning will supplant traditional white-collar workers. This means AI systems will breathe making the decisions instead of humans for anything from approving loans or deciding whether a customer should breathe onboarded to identifying corruption and fiscal crime. This is discrete from Robotic Process Automation (RPA), which simply emulates human decisioning. Instead, True AI systems will disappear beyond human capability. They can also await to see greater understanding in the boardroom about what AI really means—including hard-nosed figures around competitive advance, reducing costs of operations and removing headcount. await to see this C-suite understanding trigger issues around unions and job security as a result of significant operational changes”—Imam Hoque, COO & Head of Product, Quantexa
“While smart virtual assistants and conversational AI will gain a lot of traction in 2019, a big focus of machine learning and its superset artificial intelligence will breathe on understanding content. AI will breathe used to filter out what is existent and what is not, what is preempt and what is not. And while strides will breathe 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 maintain a lot of attention in 2019”—Sameer Kamat, CEO, Filestack
“Alongside the augment in require for AI within companies, we’ve also seen a continued shortage of trained data scientists. To augment the adoption of AI, AI platforms will need to empower traditional developers with tools to enable them to create machine learning models faster, as well as ensure they maintain an integrated platform that will allow developers to annotate and label the data needed to ameliorate the accuracy of their models”—Dale Brown, VP of industry Development, device Eight
“The biggest threat to US and Europe is the rapid advances in AI coming out of China. China is undoubtedly an AI juggernaut and will completely outmaneuver the west if we’re not careful. Why? Because the success of AI is tied to the availability of massive amounts of organized data. In China, it is socially acceptable to trade private, personal information, for minute amounts of monetary value / perks. For better or for worse, this gives companies who operate in the country a massive edge over companies here. If they want to compete, they need a solution to the data problem, and fast”—Hanns Wolfram Tappeiner, Co-Founder and President, Anki
“The need for AI-enabled search and analytics solutions will become more prevalent in 2019. Traditional search functions will give route to the emergence of cognitive search, resulting in AI-driven solutions to succor enterprises un-trap their data and derive more valuable knowledge and insights. By 2020, cognitive search will streamline information to the point of reducing reactive searching by 20%--and organizations need to breathe ready for this in the year ahead”—Kamran Khan, Managing Director of Search and Content Analytics, Accenture Applied Intelligence
“In 2019, we’ll see more organizations move to glass box AI, which exposes the connections that the technology makes between various data points. For instance, glass box AI not only tells you there is a recent retail opportunity, it also uncovers how that chance was identified in the data. It also provides retailers with an chance to check their data—and any public or aggregate data they drag in—to ensure AI isn’t making grim assumptions under the adage ‘garbage in, garbage out’”—Nikki Baird, Vice President of Retail Innovation, Aptos
“With an increasing availability of artificial Intelligence (AI) capabilities driven by cloud computing, AI will beget its route into video conferencing in 2019 in everything from meeting room activity analysis and efficiency, understanding participants’ reactions to given messaging, automated joining procedures, and platform utilization. As organizations quest to optimize their services and labor more efficiently, it’s only natural that AI, now readily accessible to assist with predictive analysis and turning data into actionable insights, will transform conferencing and collaboration as they know it”—Jordan Owens, VP of Architecture, Pexip
“We will in the near future see the lines between audio content and written content disappear. total audio will breathe searchable in the very manner the text-based web is today, and total text will breathe 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 breathe able to maintain a human-like conversation with your assistant, who has instant access to total the knowledge in the world”—Johan Billgren, Co-founder and Chief Product Officer, Acast
“In 2019, I prognosticate that it will become pellucid that the information and analytics systems that are on the bleeding edge of creating and policing truth—particularly AI-based technologies—are themselves Part of the ‘bias’ problem. This will lead to the start of a fundamental shift in how they assume about truth—not in binary terms—but as points on a spectrum, with underlying information systems and analytics systems under fire for their inability to either measure or enforce the integrity of their underlying data sets and analytics methods”—Kris Lovejoy, CEO, BluVector
“I await 2019 will breathe the year we’ll see an explosion of production applications leveraging artificial intelligence. The tools and models available on the market are ready for prime time, which means it will breathe far easier for companies of total sizes to deploy smart applications. Along with that, we’ll also see further soul-searching and advocacy around what role firms providing machine learning services should play in ensuring the ethical utilize of their products. AI experts carry a much deal of clout in that conversation, since the services ultimately won’t labor without their help. It will breathe smart to see what norms emerge out of that process”—Blair Hanley Frank, Principal Analyst, ISG
“For enterprises, 2019 is the year early adopters of an AI platform strategy will savor a leap ahead of their less innovative competitors. There will breathe pellucid winners, and pellucid losers in terms of both market share and margin growth. The investments made in automating data ingestion, and pile 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 gross organization”—Dr. Anil Kaul, CEO and Co-Founder, Absolutdata
“Organizations will savor further disillusionment with total the vague hype around machine learning and AI. They’ll increasingly realize that accurate predictions require not just a big volume of training data, but a particular type—behavioral metadata. Analysis of this data can breathe mined to better shine a spotlight on what’s used and what’s useful. This is the very insight that drove Google Search’s ranking prowess two decades ago: the content of a webpage was less predictive of its utility than how often other pages—built by other people—linked to it. As the ML/AI buzz continues to wear thin, we’ll see a stout appetite emerge for this nature of impact-driven technology and behavioral metadata among organizations”—Aaron Kalb, VP of Design and Strategic Initiatives and Co-founder, Alation
“Last year was the year of the data scientist—enterprises focused heavily on hiring and empowering data scientists to create advanced analytics and machine learning models. 2019 is the year of the data engineer. Data engineers will find themselves in tall demand—they specialize in translating the labor of data scientists into hardened, data-driven software solutions for the business. This involves creating in-depth AI development, testing, DevOps and auditing processes that enable a company to incorporate AI and data pipelines at scale across the enterprise”—Nima Negahban, CTO and Co-founder, Kinetica
“AI will fundamentally automate the order-taking side of sales and empower successful reps to become consultants to buyers, helping both parties discover the censorious resources needed to inform their buying and selling decisions. AI-powered innovation will anticipate sales challenges and buyer objections and extract insights to better prognosticate success during the buyer-seller engagement. In the post-sales phase, AI can pinpoint best practices and identify factors affecting customer savor to succor augment both upselling and word-of-mouth selling. Finally, AI will rapidly produce a more coachable, customer-informed sales rep who is smarter, nimbler and better prepared to sell successfully”—Yuchun Lee, CEO and Co-founder, Allego
“Over the next few years, AI will breathe increasingly used to dynamically modify and serve creative content based on what’s germane in a given context, for a given audience. The goal and 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 savor by scanning packaging, or at home conversing with branded content using a voice assistant. While creative teams and designers will noiseless determine the aesthetic and tone for a given piece of content, their role becomes even more crucial as the designers of generative frameworks, determining which elements in an savor to beget supple while noiseless 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 see those applications attach into practice. AI will fundamentally change the route consumers interact with brands, and I await that to become abundantly pellucid in 2019 through recent levels of personalization. Brands that adopt the utilize of AI to optimize the customer savor will see the implementation commence to repercussion their bottom line”—Adam Goldenberg, Co-CEO and Co-founder, TechStyle vogue Group
“Thus far, the capabilities of AI maintain been zeroed in on solving the problems they know—more efficiently extracting patterns and insights from massive data sets we’ve always been familiar with historically. Next year will bring the greater potential of AI into focus, demonstrating its capacity to digitize things that previously couldn’t breathe digitized and insert completely recent data sets that change the status quo and solve problems they didn’t know they could. Video AI will breathe a much example of this, helping revolve physical settings into actionable data that companies in retail and other sectors can utilize to strengthen customer experiences affection never before—and unlock recent services and customer value they may not maintain even thought about bringing to market”—Michael Adair, President and CEO, profound North
“Personalization has long been the holy grail for marketers and everyone agrees results ameliorate by knowing what customers care about and engage with. Today’s marketers maintain more behavioral data than ever, but often don’t maintain the time, resources or knowledge to properly utilize it to tailor their approach. In 2019, AI technology will address this issue, ultimately benefiting customers and industry results. As marketers test machine learning, creative strategy will need to evolve”—Cody Bender, Chief Product Officer, campaign Monitor
“2019 will breathe a pivotal year for AI in the workplace—it will breathe the year they lunge from conversation to impact. We’ll commence seeing AI integrated more deeply into the day-to-day employee savor through things affection digital assistants, whether it’s voice, SMS or another channel. I assume we’ll also see AI-based digital assistants more front-and-center for recent employees, taking a larger role in processes affection onboarding or skills training”—Gretchen Alarcon, GVP of HCM Strategy, Oracle
"One of the biggest challenges in translating lab performance into the clinical setting is the aptitude to consistently replicate results over time, location and assay—hence the need for rock-solid attribute systems and standards that provide quantifiable reliability over cohorts. As they lunge into 2019, they are birth to see existent results on how they can apply artificial intelligence to a traditionally painfully laborious and human-driven process that used to win weeks and bring it down to real-time monitoring. When applied properly, streamlining and expediting this process ensures that any variability in the workflow—from the sample collection, processing, and total the route to instrument ingestion—is drastically minimized and hence the results become supremely reproducible, and where potentially actionable and clinically germane information is derived in mere seconds”—Aldo Carrasco, CEO, InterVenn Biosciences
“Our fascination with the 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 noiseless limited to areas around image recognition and natural language understanding, where input/output scenarios can breathe reasonably constructed, and that will not change drastically in 2019. The notion that any industry can ‘turn on AI’ to become successful or more successful is preposterous, no matter how much data is being collected. But the collection of data to uphold humans and algorithms continues and raises essential ethical questions and is something they need 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 clarify and justify. Appealing such decisions is even harder when they plunge 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 breathe held accountable for the repercussion of decisions their industry makes”—Christian Beedgen, Co-founder and CTO, Sumo Logic
“In 2018, they saw many examples of adversarial AI algorithms attempting to fool humans, affection Buzzfeed’s video of President Obama delivering fake sentences in a convincing fashion. Soon they can await to see 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 configuration of fake URLs or HTML webpages. Next year, I await hackers to deploy DeepAttacks more frequently in an attempt to evade both human eyes and smart defenses”—Rajarshi Gupta, Head of AI, Avast Software
“Concerns about AI and privacy were a torrid 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 share the data with third parties. Ensuring data privacy, and in revolve customer privacy, is a challenge they must solve to realize the benefits of AI. In 2019 we’ll see more solutions emerge to enable AI applications while maintaining airtight privacy using cryptography. One of the most exciting emerging encryption technologies is homomorphic encryption (HE), which is a specific route of encrypting data so that third parties can operate on the encrypted data and noiseless 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 await innovations around AI privacy and encryption to explode next year”--Casimir Wierzynski, Senior Director, Office of the CTO, artificial Intelligence Products Group, Intel
"AI will beget a huge repercussion on cybersecurity by increasing exponentially the aptitude to detect rogue patterns and foul play, and in time will ameliorate significantly on human aptitude 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 breathe feasible for AI to liquidate security breaches entirely. This is a classic case of the trade-off between the acceptable rate of fallacious positives (where a legitimate activity is blocked because it’s erroneously assessed to breathe malign) and fallacious negatives (where a asperse activity isn’t identified as such). To drive the fallacious negative rate immediate to zero, an unacceptably tall rate of legitimate activities would maintain 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 breathe easily tailored to customer needs. In 2019 and beyond, AI will increasingly exist on the edge, as concerns around privacy, security and latency beget edge-AI preferable over the traditional approach that relies on centralized AI systems. Manufacturers, however, are struggling with the consequences of adding AI to their edge-based products, mainly due to the expensive, bulky and power-consuming hardware required for running them. They’re seeking slimmer, battery friendly, and more cost-effective embedded solutions. This is why we’ll also witness a growing require for more practical AI that can breathe mainstreamed affordably, without requiring massive hardware or cloud, and without compromising on attribute 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 touching barbecue items to prominent positions as summer approaches. But now it will breathe feasible for more granular changes. For example, the baby food and Hamburger Helper moves to the finish cap on Sunday-Tuesday, but chips and beer lunge to the finish cap on Thursday-Saturday. Roll away a yoke of center-store fixtures on the weekend to beget room for the olive bar installation. Flip the store layout by day of week”—Tony Rodriguez, CTO, Digimarc
“Artificial and augmented intelligence will succor address their nation’s mental health crisis. According to the National Institute of Health, nearly one in five American adults suffers from a configuration of mental illness. There are significant barriers to seeking care, including stigma, affordability and access. In 2018, the U.S. intelligence cycle was dominated by tall profile name suicides, the constant drumbeat of emotionally charged stories in the news, and divisive midterm elections. That brought essential conversations about mental health and depression to light for many people, thereby reducing the stigma. AI will breathe able to succor scale access to qualified providers and beget it affordable for people to regain the privilege flush of care. Combined with technologies affection teletherapy and telepsychiatry, it will play an increasingly essential role in improving collaborative care. AI tools and data-driven algorithms will succor clinicians track patient histories, identify times of crisis, and provide personalized care for individuals to reduce symptoms and ameliorate 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 maintain greater, faster penetration with more automation, allowing hackers to achieve greater success executing cyberattacks. Cyber defense must glance 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 fallacious positives by up to 91%. Enterprises will quest innovative solutions that enable them to sojourn ahead of the next unknown threat”—Gilad Peleg, CEO, SecBI
“In 2019, AI technology will finally breathe able to succor not just identify attacks, but also provide evidence-based guidance on how security teams can and should respond to threats. In many situations, AI will breathe able to respond without the intervention of SOC teams at all. Because AI is constantly learning, the technology is poised to sojourn in step with attackers ever-changing tools and techniques. Overall, AI expedites the time from storm identification to remediation by eliminating many of the challenges and burdens that maintain traditionally slowed-down the process. The implementation of such AI-driven technology will result in a major risk reduction for enterprises of total sizes”—Eyal Benishti, Founder & CEO, IRONSCALES
“Machines will commence to understand understanding and effect—today, when machines (such as chatbots and virtual assistants affection Siri and Alexa) respond to us, it’s purely based on correlations. They attain not maintain an understanding of causation. But as machines are getting more disparate sources of data, they will commence to better understand the causal relationship between a big set of variables. As humans, they learn about understanding and result over time through absolute common sense. In 2019, we’ll see this approach to fruition with machines as they collect and feed them more disparate data sources that enable them to build conditional probability distribution to understand the direction of causality”—Michael Wu, Ph.D., Chief AI Strategist, PROS
See also 60 Cybersecurity predictions for 2019 and 20 More AI Predictions For 2019
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 confederate 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 big amounts of cash. Because SkyGiraffe has key integrations with Microsoft technologies, this will give it significant distribution, and presumably, route 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 beget 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 shriek 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 aptitude to read and write-back live data to the company’s systems, both ERP and CRM. Normally this would require either a expansive system integration project or hiring dedicated developers – but with their platform they shriek it’s a very simple integration. The autochthonous 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 breathe implemented across an organisation.
Rahul Sood, universal Manager of Microsoft Ventures says the investment means SkyGiraffe is a “great example of talented founders that maintain utilized Microsoft’s programs for startups to augment 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.
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, dependable and comprehensive solution, in order to tender 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 need 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 also the government, to control them," said Ron Totaro, chief operating officer at ACI Worldwide. "Innovative fiscal institutions, affection Westpac recent Zealand, are deploying Proactive Risk Manager to detect fraud early in the transaction cycle, to forestall fiscal loss and negative brand impact."
"Effective enterprise-wide fraud management is not smooth to achieve. It not only requires significant processing power and scalability to handle the data volume and throughput, but also sophisticated functionality to enable accurate fraud detection," explained June Felix, universal Manager for Banking and fiscal Markets at IBM. "Proactive Risk Manager on IBM System z servers can succor provide Westpac recent Zealand with the capability to win 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 mediocre 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 effectual and reliable.
ACI welcomes Westpac recent Zealand to the growing community in Australia and recent Zealand of more than ten major banks that maintain licensed Proactive Risk Manager. Globally, more than 150 banks, processors and retailers rely on Proactive Risk Manager to monitor transactions at an enterprise flush to identify and forestall 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
For more information about IBM System z servers, delight 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.
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