AI News, 10 Steps to Adopting Artificial Intelligence in Your Business
Adapting to the Digital Workforce: 4 First Steps to Training Your Team on AI
A recent report from the World Economic Forum predicted that artificial intelligence will create 58 million new jobs in the next five years.
Related: 5 Reasons Machine Learning Is the Future of Marketing Oracle'sAI at work study found that 71 percent of employees believe AI skills and knowledge will be important in the next three years, yet the majority (72 percent) of organizations do not provide any form of AI training programs.
This gaps needs to be addressed and is particularly important for entrepreneurs and small businesses, where team members often wear multiple hats and need to be able to quickly and easily take advantage of the latest developments in AI to improve productivity.
Artificial intelligence can improve operational efficiencies, enable faster decision-making, significantly reduce costs, enable better customer experiences and improve the employee experience.
While it may seem daunting, entrepreneurs can help their organization take part in the AI revolution by following four simple steps: The first step to ramping up your business on AI is to audit your team's current AI knowledge.
One of the biggest obstacles to training your teams on AI is the time investment to learn new skills and processes, especially for entrepreneurs and small business who may already be short-staffed.
120 AI Predictions For 2019
Me: “Alexa, give me a prediction for 2019.” Amazon AI: “The crystal ball is clouded, I can’t tell.” My conversation with Amazon’s “smart speaker” or “intelligent voice assistant” just about sums up the present state of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably get the correct action the human intelligence behind it programmed it to perform.
To deliver effective Self-Driving Finance, financial institutions will require specialized forms of AI for each of their customer segments such as retail, small business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed subject matter knowledge and expertise”—David Sosna, Co-founder and CEO, Personetics “2019 will be the year of specialized AI systems built by organizations based on their own data.
Similar to using a GPS such as Waze when you're driving to unlock optimal routes depending on the time of day, AI will unlock how each employee can best use a system, providing a range of possibilities based on what the individual needs to do”—Rephael Sweary, Co-founder and President,WalkMe 'In 2019, we will start to see technology that will allow designers to talk to computer programs powered by AI to redesign, optimize and lightweight parts made by 3D printers in real time.
More power will be put into the hands of designers who will be better able to test and experiment with alterations to create optimal designs much faster than before”—Avi Reichental, Founder and CEO,XponentialWorks “Because of cloud and the pervasiveness of APIs, in 2019 we’ll begin to see AI deliver meaningful value to the enterprise and get us closer to the Holy Grail of AI, which is helping people at all levels of an organization do what they do more effectively and efficiently, while uncovering new opportunities and new ways to work”—Josh James, Founder and CEO, Domo “While B2B providers have been slow to adapt to the high standard of personalized digital experiences set by Amazon and Google, the industry has at least acknowledged the value of personalized home and landing pages.
As customer expectations increase, enterprises will need to keep pace by using machine learning and AI to offer a personalized experience beyond the first impression, which extends to other assets such as technical documentation, community portals, and chatbots”—Gal Oron, CEO,Zoomin “In 2018 we saw a great deal of hype around AI in healthcare but we also saw it become a reality—in everything from predictive analytics for chronic disease management, to workflow enhancement in radiology as well as administrative and financial use cases that bring operational efficiency.
Instead, automation should primarily be leveraged pre-breach, serving as a proactive defense mechanism to help organizationsoutmaneuverthe attacker at the earliest stage and minimize the potential damage”—Nadav Zafrir, CEO, Team8 “Robotics and AI are increasingly used hand-in-hand to inspect and ensure the proper functioning of critical infrastructure that our society is built on—power lines, railroad tracks, flare stacks etc.
Today’s cloud systems that remotely control Industrial IoT and AI - often at significant distances from inspection sites - will begin transitioning to distributed and autonomous systems closer to the source of inspections, making inspection data collection more efficient and safer”—Ashish Jain, Managing Director of Data Sciences, GE Ventures “Artificial Intelligence (AI) and Machine Learning have been hot topics for a while, but that will begin to decline in 2019.
We will no longer associate AI with futuristic robots and self-driving cars, but rather productivity tools and predictions to help everyday menial tasks”—Josh Poduska, Chief Data Scientist, Domino Data Lab “2019 will be the year of the death of the data scientist.In 2019, everybody is going to start learning Artificial Intelligence (AI) and the domain of data science will no longer be a purist data scientist.
From agritech and crop optimization to utilities and alternative energy, the big data analytics and machine learning behind AI will be leveraged to completely change the way consumers interact with their surroundings”—Natan Barak, CEO and Founder,mPrest 'In 2019, the global lending sector will see an uptick in AI that can predict financial eligibility and funding opportunities.
The Autonomous Vehicle industry will move away from object fusion and towards raw data fusion, which enables AVs to better interpret movement, speed, angle, and trajectory, and provides rich data to predict the direction and future movement of an object, pedestrian, or vehicle”—Ronny Cohen, CEO and Co-founder, VAYAVISION “Multi-trillion-dollar markets such as commercial real estate are comprised of an intricate web of interactions that affect every decision, and AI technology is now mature enough to tackle these highly complex transactions.
CTO,Tactile Mobility 'As more businesses rely on AI to fuel their own products, services and data-driven marketing innovations, bad actors across the digital ecosystem will utilize similar capabilities to increase their efforts and execute massive fraud schemes, resulting in hundreds of millions of dollars in losses for brands and marketers.
With that, companies that invest smartly in AI and machine learning-based fraud protection tools will be able to clearly ‘see’ the entire ecosystem and protect themselves from fraud and the polluted data that impacts business decisions—leading to a significant competitive advantage'—Ran Avrahamy, VP, Global Marketing,AppsFlyer “AI research and applications are proving increasingly important in healthcare, improving patient outcomes through a more personalized, data-driven approach.
Just as big data is used to curate more satisfying user experiences, more granular ‘small data’—information generated by each individual andanalyzed by AI tools, turning smartphonesand consumer wearables into powerful at-home diagnostic and treatment tools—will be usedto drive digital health users to action based on their real-worldbehavior, capabilities andneeds, and to boost population health by making disease predictionand preventionscalable.
In 2019, AI will be the linchpin of digital health’s application to the prevention and treatment of disease, specificallychronic illnesses,connecting the dots between the small data that can optimize an individual’s personal care and the big data that can uncover solutions with a global impact”—Dana Chanan, CEO and Co-Founder,Sweetch “2019 will be a pivotal year in the way cities understand their urban mobility ecosystems in order to build much more efficient transportation systems throughout urban areas.If today’s cities are primarily focused on severe challenges such as traffic, pollution and lack of parking space, in 2019 they will have far better visibility into the root cause—inefficiency of movement in urban areas.Understanding how people are moving in urban areas, from where to where, when, with which means of transportation, and understanding why—that’s the core that will allow cities to build more efficient mobility, reducing our need to move around, encouraging people to move together, and creating multimodality.
This data will remain key to informing the bulk of marketing strategy for years to come'—Chase Buckle, Senior Trends Analyst, GlobalWebIndex “The hype around AI technologies that match human intelligence in some abstract form is drowning out the fact that today, there is real value in AI tools that collect, organize and make actionable the collective human experience.
Currently, we have a variety of technologies that offer a compelling vision of the future, but that vision is impeded by the fact that the devices are isolated, lacking context, and are thus unable to act autonomously: the consumer must still supply the intelligence for the ‘smart home.’ The mating of RF sensing technology with mesh and other networking schemes will amplify the value of network hardware, enabling them to provide powerful communications infrastructure and sensory feedback—the necessary convergence of control and communications needed to create cognitive systems.
The ability to understand human emotions and cognitive states will become part of the criteria for evaluating AI, as companies make decisions on which AI solution to select for their workplace, and even as consumers decide between systems like virtual assistants or smart speakers to have in their homes”—Rana el Kaliouby, PhD, CEO and co-founder, Affectiva “The focus of AI will shift from intelligence to empathy—we’re moving beyond the point where basic intelligence suffices for consumer-facing AI, as customers want to know that they are being viewed as individuals and not just as customer data records.
At the same time, the current misconception about all data analytics being AI will be more widely discussed, particularly with regards to the availability of sufficient, relevant and specific data to train algorithms and keep them ‘learning.’ This will lead to an increased focus on more advanced methodologies that can learn and adapt based on actual real-time data”—Mikael Johnsson, Co-founder, Oxx “Because companies are recognizing that AI cannot be built without high-quality data, they will increasingly turn to specialized providers that sit on crucial data resources to help them understand their unstructured data.
Eventually, uses will include AI-defined network topologies and basic operations, which will help us forge a network that runs on auto-pilot”—Kailem Anderson, Vice President of Software and Services, Ciena “The explosion of artificial intelligence (AI) within IT is poised to provide many benefits and time-saving opportunities in 2019 but will require IT decision-makers (ITDMs) to evolve into strategic consultants rather than serving in reactive roles.
We won't see autonomous cars that never crash but AI will augment workplace productivity in new and interesting ways in 2019”—Ram Menon, Founder and CEO, Avaamo “2018 was the year of bots, and over the next year we’ll see pervasive analytics and intent-based AI take this a leap further, highlighting the importance of specialized service desks that streamline IT support management and allow for instant knowledge delivery”—Phani Nagarjuna, Chief Analytics Officer,Sutherland “AI and machine learning (ML) have been the ‘silver bullets’ of the security industry for the past few years.
With the growing reliance on large datasets, AI systems will need to guard against such attacks data, and the savviest advertisers will increasingly look into Adversarial ML techniques to train models to be robust against such attacks”—Prasad Chalasani, Chief Scientist, MediaMath “AI will add an extra layer of predictability, allowing organizations to see patterns and gain insights from IoT devices and past customer behaviors—ultimately making supply chains smarter, leading to faster, more efficient production and fulfillment, and happier customers.
In 2019 and beyond, we can expect AI to take supply chains from reactive in nature to prescriptive levels, helping companies get one step ahead of consumers’ rising expectations”—Hala Zeine, President of Digital Supply Chain, SAP “In 2019 AI will ‘cross the chasm’ in healthcare as mainstream non-pioneering institutions apply AI-fueled clinical decision support tools to everyday work, including radiologic analysis in the U.S. and oncology drug selection in Africa and South America.Additionally, as advances in molecular biology demonstrate that many ‘common’ diseases are actually clusters of rare sub-forms, AI will find the high-value pockets of small data (such as unusual genetic signatures) hidden in vast reams of big data”—Frank Ingari, Board Member, Quest Analytics “AI for customer self-service isn’t as successful (yet) as the hype would indicate.
Many organizations in 2019 will take a split approach—more aggressive use of AI to automate repetitive agent after-call work and a more targeted approach with simple and high-volume self-service use cases”—Chris Bauserman, VP of Segment and Product Marketing, NICE inContact “The key word is cognitive load and how do companies reduce it by providing better guidance and overall automation that helps make it easier to use—RPA (Robotic process automation) is a great example of this and continues to heat up.
In 2019, we can expect to see more widespread introduction of software robots and artificial intelligence (AI) workers as organizations look to leverage automation to enhance their overall commerce ecosystem”—Rob Maille, Head of Strategy and Customer Experience, CommerceCX “As artificial intelligence applications grow in popularity, one key enabling technology will be the ability to process larger data sets constantly being updated with operational data.
Heading into 2019, businesses should be looking to security in AI, using emerging technologies as a way to protect their customers—both from a purchasing standpoint and from potential digital threats that seek to steal the information customers are sharing with brands”—Dan Kiely, CEO, Voxpro “Intelligent robotic process automation will emerge as business critical, as companies will require the high automation level necessary to become intelligent enterprises in 2019.
In 2019 we’ll see an increase in health wearables hitting the market that use AI to track a vast number of conditions like blood pressure, painting a more holistic picture of a person’s health, as it changes in real-time”—Kevin Hrusovsky, CEO, President and Chairman, Quanterix “Many AI-enabled automation projects in 2018 failed because they were targeting the wrong processes to automate.
Ontologies add an additional tool to the set of approaches that companies can now deploy off the shelf and ontologies ability to link together diverse sets of data and draw conclusions from them, make an ontology-based system an easy start for enterprise and business organizations in 2019”—David Keane, Co-founder and CEO, Bigtincan “Enterprises have been so focused on the potential benefits of AI, that it’s become more buzz phrase than reality.
Gradual rollout after testing will help mitigate any major disruptions to everyday business, while enhancing the organization’s future technology footprint”—John Samuel, Senior Vice President, Global Chief Information Officer, CGS “We will see a huge spike in the exploration and adoption of ML/AI tools that can help develop mobile and web test scenarios without coding (codeless testing), to speed up the process of code validation and to provide a greater stability for the test code.
On the front of smart decision making and quality analysis, we will see ML/AI solutions that can automate the slicing and dicing of data, and quickly provide root-cause analysis for issues that were detected during the DevOps pipeline testing activities”—Eran Kinsbruner, Director, Lead Software Evangelist, Perfecto “2019 will see an exponential increase in the number of research projects and companies building solutions that leverage AI to increase developer productivity.
This shift will increase productivity and safety and will open the doors for new business models throughout the industry, like Outcome-as-a-Service”—Saar Yoskovitz, Co-Founder and CEO, Augury “The biggest benefit of AI will turn out to be something that we think of as quintessentially human: being ‘good team players.’ While previous years have focused on individual algorithms doing things better than individuals, 2019 is about collections of algorithms starting to collaborate on complex tasks.
they will reverse the current trend—growth of drug development timelines by 25%, reaching a startling 12 years on average—and bring much-needed therapies to the market sooner”—Isabelle deZegher, Vice President, Integrated Solutions, PAREXEL “In 2019, society will push for the demystification of AI and demand a better understanding of what technology is being built, and greater transparency into how it is being used.
On the vendor side, technology providers will make AI tools and platforms easier to implement and put in place, and the difference between technology leaders who can truly create this change within an organization and those who are trying to capitalize on the hype will become more and more vivid”—Connie Schiefer, VP Product Management, Mya Systems “For the last two decades, the epicenter of the world’s economy has shifted as technology driven companies take over entire markets at the cost of businesses like Sears.
While the technological aspects of this process overhaul will be what drives the necessary sea change, we’ll come to realize that an even larger opportunity lies in using advanced technologies to optimize human behaviors anywhere they intersect with business process flow”—Alan O’Herliy, CEO, Everseen “In 2019, we’ll stop doubting humans’ role in the fourth industrial revolution—nor fear they don’t have one.
However, we may see more widespread adoption of AI to reduce the amount of time recruiters spend on mundane tasks so they can use their time on more meaningful candidate interactions”—Kurt Heikkinen, CEO, Montage “We expect to see AI used more in higher education in 2019 as institutions continue their digital transformation journeys and look to appeal to students’ preferences for adaptive, engaging learning experiences.
To increase the adoption of AI, AI platforms will need to empower traditional developers with tools to enable them to create machine learning models faster, as well as ensure they have an integrated platform that will allow developers to annotate and label the data needed to improve the accuracy of their models”—Dale Brown, VP of Business Development, Figure Eight “The biggest threat to US and Europe is the rapid advances in AI coming out of China.
It also provides retailers with an opportunity to check their data—and any public or aggregatedatathey pull in—to ensure AI isn’t making bad assumptions under the adage ‘garbage in, garbage out’”—Nikki Baird, Vice President of Retail Innovation,Aptos “With an increasing availability of Artificial Intelligence (AI) capabilities driven by cloud computing, AI will make its way into video conferencing in 2019 in everything from meeting room activity analysis and efficiency, understanding participants’ reactions to given messaging, automated joining procedures, and platform utilization.
As organizations seek to optimize their services and work more efficiently, it’s only natural that AI, now readily accessible to assist with predictive analysis and turning data into actionable insights, will transform conferencing and collaboration as we know it”—Jordan Owens, VP of Architecture, Pexip “We will in the near future see the lines between audio content and written content disappear.
As voice assistants and search algorithms continue to advance, you will soon be able to have a human-like conversation with your assistant, who has instant access to all the knowledge in the world”—Johan Billgren, Co-founder and Chief Product Officer,Acast “In 2019, I predict that it will become clear that the information and analytics systems that are on the bleeding edge of creating and policing truth—particularly AI-based technologies—are themselves part of the ‘bias’ problem.
This will lead to the start of a fundamental shift in how we think about truth—not in binary terms—but as points on a spectrum, with underlying information systems and analytics systems under fire for their inability to either measure or enforce the integrity of their underlying data sets and analytics methods”—Kris Lovejoy, CEO,BluVector “I expect 2019 will be the year we’ll see an explosion of production applications leveraging artificial intelligence.
As the ML/AI buzz continues to wear thin, we’ll see a strong appetite emerge for this type of impact-driven technology and behavioral metadata among organizations”—Aaron Kalb, VP of Design and Strategic Initiatives and Co-founder, Alation “Last year was the year of the data scientist—enterprises focused heavily on hiring and empowering data scientists to create advanced analytics and machine learning models.
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 becomeconsultants to buyers, helping both parties discover the critical resources needed to inform their buying and selling decisions.
While creative teams and designers will still determine the aesthetic and tone for a given piece of content, their role becomes even more crucial as the designers of generative frameworks, determining which elements in an experience to make flexible while still maintaining the core of the creative concept”—Claire Mitchell, Director, VaynerSmart “While 2018 saw many retailers and brands gain more familiarity with AI and its potential use cases, 2019 will see those applications put into practice.
Video AI will be a great example of this, helping turn physical settings into actionable data that companies in retail and other sectors can utilize to strengthen customer experiences like never before—and unlock new services and customer value they may not have even thought about bringing to market”—Michael Adair, President and CEO, Deep North “Personalization has long been the holy grail for marketers and everyone agrees results improve by knowing what customers care about and engage with.
I think we’ll also see AI-based digital assistants more front-and-center for new employees, taking a larger role in processes like onboarding or skills training”—Gretchen Alarcon, GVP of HCM Strategy, Oracle 'One of the biggest challenges in translating lab performance into the clinical setting is the ability to consistently replicate results over time, location and assay—hence the need for rock-solid quality systems and standards that provide quantifiable reliability over cohorts.
When applied properly, streamlining and expediting this process ensures that any variability in the workflow—from the sample collection, processing, and all the way to instrument ingestion—is drastically minimized and hence the results become supremely reproducible, and where potentially actionable and clinically relevant information is derived in mere seconds”—Aldo Carrasco, CEO, InterVenn Biosciences “Our fascination with the use of computing power to augment human decision-making has likely outgrown even the tremendous advances made in algorithmic approaches.
Soon we can expect to see this concept evolve into a new class of cybercrime in which malicious content is automatically generated by AI algorithms—a new category we define as ‘DeepAttacks.’ DeepAttacks can manifest themselves at scale by generating code within malware files, creating fake network traffic in botnets, or in the form of fake URLs or HTML webpages.
We’re seeing this technique emerge in discussions at NeurIPS and in some public solutions already, such as Microsoft SEAL and HE-Transformer, and expect innovations around AI privacy and encryption to explode next year”--Casimir Wierzynski, Senior Director, Office of the CTO, Artificial Intelligence Products Group, Intel 'AI will make a huge impact on cybersecurity by increasing exponentially the ability to detect rogue patterns and foul play, and in time will improve significantly on human ability to analyse data effectively, which will lead to even faster detection and response capabilities via machine learning.
To drive the false negative rate close to zero, an unacceptably high rate of legitimate activities would have to get blocked”—Richard Anton, Co-founder, Oxx “In the automotive world, leadingautomakers and component suppliers are constantly looking for differentiation throughAI, and as a result, there iscurrentlya major shift underway from the rigid hardware solutions that started theAIrevolution to more flexible,software-based onesthatcan be easily tailored to customer needs.In 2019 and beyond, AI will increasingly existon the edge, as concerns around privacy, security and latency make edge-AIpreferableover the traditional approach that relies on centralizedAIsystems.Manufacturers, however, are struggling with the consequences of addingAIto their edge-based products, mainly due to the expensive, bulky and power-consuming hardware required for runningthem.
Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development.
It is essential to join forces in the European Union to stay at the forefront of this technological revolution, to ensure competitiveness and to shape the conditions for its development and use (ensuring respect of European values).
In its communication, the European Commission puts forward a European approach to Artificial Intelligence based on three pillars: The Commission is increasing its annual investments in AI by 70% under the research and innovation programme Horizon 2020.
Given the strategic importance of the topic and the support shown by the European countries signing the declaration of cooperation at the digital day, we can hope that Member States and the private sector will make similar efforts.
To support the efforts of the Member States which are responsible for labour and education policies, the Commission will: Some AI applications may raise new ethical and legal questions, related to liability or fairness of decision-making.
Machine learning denotes the ability of a software/computer to learn from its environment or from a very large set of representative data, enabling systems to adapt their behaviour to changing circumstances or to perform tasks for which they have not been explicitly programmed.
Azure AI – accelerating the pace of AI adoption for organizations
With Azure Machine Learning service, you can quickly and easily build, train, and deploy machine learning models anywhere from the intelligent cloud to the intelligent edge.
With features like automated machine learning, organizations can accelerate their model development by identifying suitable algorithms and machine learning pipelines faster.
Once the model is developed, organizations can easily deploy and manage their models in the cloud and on the edge, including IoT devices, with integrated (CI/CD) tooling.
ONNX is an open format to represent machine learning models that enables data scientists and developers to use the frameworks and tools that work best for them, including PyTorch, TensorFlow, scikit-learn, and more.
“The introduction of ONNX Runtime is a positive next step in further driving framework interoperability, standardization, and performance optimization across multiple device categories and we expect developers to welcome support for ONNX Runtime on Snapdragon mobile platforms,”
says Gary Brotman, Senior Director, Qualcomm Technologies Recently we announced the preview of Azure Cognitive Services containers, making it possible to build intelligent applications that span the cloud and the edge, including IoT devices.
Cognitive Services containers enable customers to build one application architecture that is optimized to take advantage of both robust cloud capabilities and edge locality.
With its general availability, custom translation builds on the strengths of the Translator Text Cognitive Service, which powers billions of translations every day and supports more than three dozen languages.
- On 24. februar 2021
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