Fred Schonenberg on Generative AI: Transforming Business Efficiency and Innovation

What is the role of Artificial Intelligence in compliance? What about Machine Learning? Are you using ChatGPT? These are but three of the many questions we will explore in this exciting new podcast, Compliance and AI. Hosted by Tom Fox, the award-winning Voice of Compliance, this podcast will look at how AI will impact compliance programs into the next decade and beyond. If you want to find out why the future is now, join Tom Fox on this journey to the frontiers of AI. Fred Schonenberg is a seasoned entrepreneur and the founder of VentureFuel, a company specializing in helping large organizations innovate faster through collaboration with startups. Schonenberg's perspective on VentureFuel's approach to innovation and integration of generative AI is that it serves as a bridge between large organizations, early-stage startups, and VentureFuel's capital. He believes that in an era where large organizations are being asked to do more with fewer resources and the convergence of different industries and technologies requires them to seek external innovation, VentureFuel can help these organizations make sense of the external innovation world, find the best solutions, and collaborate with startups to solve business challenges. Schonenberg emphasizes the importance of finding scalable and repeatable solutions that can be integrated into existing business operations, a perspective shaped by his extensive experience in the startup and high-growth company sector. Join Tom Fox and Fred Schonenberg on this episode of AI and Compliance to learn more about this innovative approach. Key Highlights: Bridging the Gap: Connecting Startups and Corporates Building a Professionalized Corporate Culture Generative AI: Transforming Business Efficiency and Innovation Leveraging Generative AI for Legal Efficiency The Importance of "Dating" Potential Partners Resources: Fred Schonenberg on LinkedIn VentureFuel Tom Fox Instagram Facebook YouTube Twitter LinkedIn