Today’s guest for the final episode in our five-part ‘AI Futures’ series on the ‘AI in Business’ podcast is Tom Davenport, an American academic, business leader, and world-renowned voice in matters of artificial intelligence. He joins Emerj CEO and Head of Research Daniel Faggella to discuss the forces that are making new developments in generative AI mandatory across the global economy. Later they examine how business leaders can make the most of these technologies without incurring undue legal risk. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Piotr Niedzwiedz, Founder & CEO at neptune.ai. In conversation with Emerj CEO Daniel Faggella, they discuss how business leaders can best help their organizations navigate the transition from an AI services model to an AI product model. From challenges in venture capital to judging whether or not your AI product can even be a viable service, to begin with, Piotr pulls directly from his experience at neptune.ai and beyond to offer the audience direct insight. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today's guest for part four in our five-part 'AI Futures' series on the 'AI in Business' podcast is Dr. Francesca Rossi, Fellow and AI Ethics Global Leader at IBM and President of the American Association for Artificial Intelligence. She joins Emerj CEO and Head of Research Daniel Faggella to discuss challenges and solutions for humanity posed by the evolution of generative AI, virtual reality, and computer-brain interface. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Dan Diasio, Global Artificial Intelligence Leader at EY Consulting. Dan has spent the last two decades leading data and AI initiatives at the legacy financial services firm. He joins Emerj CEO and Head of Research Daniel Faggella to talk about the challenges unique to legacy institutions in starting AI projects and laying the groundwork for organization-wide transformations from effectively cultivating data. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today’s guest on the ‘AI in Business’ podcast is Chief Medical Officer, Chief Learning Officer, and Co-Founder at Reulay Inc., Dr. Srini Pillay. He joins Emerj CEO Daniel Faggella on our special ‘AI Futures’ series to discuss the capacity for virtual and augmented reality technologies to alter emotional states in users. While they look far into upcoming possibilities, the truth is this technology is here in a plethora of use cases Dr. Pillay and Daniel discuss in depth. Later, Srini explains the challenges in customizing virtual experiences for individual users. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today's guest is Supreet Kaur, Assistant Vice President at Morgan Stanley. She's spent the last five years working in data spaces across financial services and life sciences, along with essential advocacy work in mentoring a diverse next generation of data science leaders. In conversation with Emerj CEO Daniel Faggella, Supreet tells business leaders three metrics they need to measure their enterprise AI success. Later, they dissect common approaches to ROI from leadership and IT teams that are at odds with AI adoption's experimental nature. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guest is Nir Eyal, Stanford professor and the author of Hooked: How to Build Habit-Forming Products. In conversation with Emerj CEO and Head of Research, Nir digs deeper into the potential of VR and generative AI to reinforce good and bad habits from the products we use. Once we reach the point of immersion with these technologies, Nir points out on the podcast, their ability to influence our behavior will be enormous. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Ilke Demir, designer of FakeCatcher and Senior Staff Research Scientist at Intel. FakeCatcher is a new AI-powered deepfake video detection tool developed by Intel. In conversation with Emerj Senior Editor Matthew DeMello on the podcast, Ilke explains the science behind Intel's new deepfake detection technology and its many applications for both individual journalists and media enterprises. Later, she talks about how her research has illuminated even deeper mysteries behind the question, "What makes us human?". Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Lambert Hogenhout, Chief of Data, Analytics, and Emerging Technologies at the United Nations. Lambert is also a project lead with A Future in AI – a nonprofit focused on fostering a dialog between youth, tech leadership, and global policymakers on the nature and implications of AI. In conversation with Emerj CEO and Head of Research Daniel Faggella, Lambert explains the dangers of personalized virtual worlds and how best to think of the relationship between humanity and technology going forward. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is the Head of Research at Bloc Ventures, David Pollington. Bloc Ventures is an investment firm known for its early-stage entrances and lucrative exits in deep tech. In conversation with Emerj CEO Daniel Faggella, David talks about how the barriers to entry for serious data analytics use cases are lowering to startups. He cites a growing interest from industrial sectors in overcoming challenges in limited data as a driving force behind the trend. Later, they discuss the economic viability of one learning method surrounding the commercialization of limited data problems. Discover more AI use cases, best practice guides, white papers, frameworks, and more by joining Emerj Plus at emerj.com/p1.