To stay on top of AI innovation, it's time to upgrade to next-gen architecture. Join this VB Live event to learn how cutting-edge computer architecture can unlock new AI capabilities, from common use cases to real-world case studies and more. "Everybody's heard a lot about big data over the last decade," says Alan Lee, corporate vice president and head of research and advanced development at AMD. "Put differently, what are we going to do with all this data? How can we use it for the betterment of mankind, business, individuals, and so on?" All that data needs to be handled or manipulated in some way.

Creative is the key to user acquisition for game developers, and data is the key to optimizing for your target audience, drilling down to what converts, and more. For more on gaining a competitive edge with new creative processes and technologies, join GamesBeat's Dean Takahashi and more at this VB Live event. When it comes to user acquisition, the most pressing challenge game developers face is simply consumer attention. There's a tremendous amount of competition for the precious free time people have between responsibilities, says Noa Miller, marketing creative strategist at yellowHEAD. "You're competing to make playing games a priority," Miller says.

Companies like Mastercard are implementing AI strategies that are transforming how customer experience is done. Join this VB Live event for insights on why AI is essential for fintech companies, plus how to implement it, how to make it perfom, and more. AI has been around for a long time -- it's only in the last three or four years that people have been paying attention to it in the fintech space, says Dr. Steve Flinter, VP of artificial intelligence and machine learning at Mastercard Labs. "A huge driver of innovation is that small startups, fintechs, and non-technology corporates are able to get access to this technology that five or 10 years ago would have been locked away in university research labs and the big corporate R&D labs," Flinter says. The amount of data now available, and the ability to store and process that at scale, combined with open source technology, compute power, and breakthroughs in technologies like computer vision and NLP are all part of this AI democratization.

Companies like MasterCard are implementing AI strategies that transform how customer experience is done. Join MasterCard Lab's VP of Artificial Intelligence & Machine Learning and others for insights on why AI is essential for fintech companies now, and developing an AI strategy going forward. Winning customer loyalty requires an experience that is always personalized, efficient, and seamless no matter what channel consumers are engaging in -- at scale. That's where artificial intelligence (AI) and natural language processing (NLP) comes in. The technology has evolved to the point where any company can leverage it to power chatbots that can communicate accurately and efficiently with your customers, 24/7, or analyze customer data to gain the kinds of insights that fuel better business decisions. And according to a survey on AI in Financial Services conducted by the World Economic Forum, 77% of business leaders expect that AI will become essential to their business within the next two years.

As machine learning has evolved, so have best practices, especially in the wake of COVID-19. Join this VB Live event to learn from experts about how machine learning solutions are helping companies respond in these uncertain times – and the lessons learned along the way. Misinformation around COVID-19 is driving human behavior across the world. Here in the information age, sensationalized clickbait headlines are crowding out actual fact-based content, and, as a result misinformation spreads virally. Conversations within small communities become the epicenter of false information, and that misinformation spreads as people talk, both online and off.

In a world profoundly impacted by the pandemic, machine learning and AI has offered powerful new ways to adapt and face pressing business challenges. To learn more about the unique opportunities ML offers, best practices for leveraging the technology, and more, don't miss this VB Live event. But the situation has presented an opportunity to reimagine the customer experience and buying journey, employee experiences, new ways of working, and how we interact as a society, says Michelle K. Lee, Vice President of the Amazon Machine Learning Solutions Lab, AWS. With the proliferation of data and virtually unlimited quantities of specialized computing power available via the cloud, machine learning can help businesses make faster, more informed decisions, create efficiencies in processes, open up new revenue streams, and usher in a new wave of innovation that wasn't possible before. Businesses that have embraced new ways to meet the customer where they are will have a significant competitive advantage.

Join this VB Live webinar to learn about the five biggest mistakes companies make when they bring cutting-edge customer service technology to their workflows, and how to leap over these pitfalls and into real results. Most business leads are aware of the importance of AI, says Michael Butler, head of customer success at Ople, but often don't know how to get started – or if an investment in AI technology is the smartest route to stacking up real ROI. Previously, as director of global ecommerce at VMWare, he was relying entirely on his data science team, Butler says. The team consisted of about 35 people on staff full time, and the problem was that they were slow to produce models and results. For instance, coming up with a model to score customers most likely to buy a new release would take six weeks; when an anniversary sale came along, it would take another six weeks, starting from scratch each time. It should take a matter of days, if not hours, Ople thought.

AI is dramatically enhancing industries, products, and core capabilities. But to make AI truly ubiquitous, it needs to run on end devices within a tight power and thermal budget. To learn more about the research that is advancing AI adoption, don't miss this VB Live event featuring Qualcomm's Senior Director of Engineering, Jilei Hou, and analyst.Jack Gold. "We're not anywhere near a steady state with AI," says Jack Gold, tech analyst and founder and president of J. Gold Associates. "AI is starting to take off, but we're nowhere near the top of the hockey stick."

With the power of artificial intelligence (AI) and machine learning, banks and other FIs have an opportunity to help consumers manage their budgets and plan for big life events. Find out how the industry's most innovative companies are using these technologies to build financial solutions and apps to attract and engage today's evolving consumer. In our everyday lives, it can be difficult to monitor our spending habits and see how they impact our overall financial health. According to Abe AI founder and chief operating officer Keith Armstrong, that's the kind of burden AI can help alleviate. Abe AI works with financial institutions to offer AI-powered voice and chat applications for customers who are looking for a virtual coach.

Artificial intelligence steps in to save the day, letting you harness that remaining 95 percent in order to enhance conversions and drive retention.