AI Confidential

Sriram Raghavan, Vice President of IBM Research AI, leads a global team focused on advancing AI with a commitment to open-source principles. He discusses IBM's contributions to the Linux Foundation, emphasizing smaller, fit-for-purpose models instead of large language models. The conversation touches on the importance of transparency in AI, the challenges of regulatory compliance, and the exciting potential of innovations like the Model Context Protocol. Sriram highlights how responsible AI practices can enhance enterprise efficiency while fostering community collaboration.

From cloud computing to infrastructure-as-a-service, Reuven Cohen (AKA rUv) has been on the cutting edge of every major technology supercycle — and he’s now one of the most influential people in the agentic AI space. With the help of agents, rUv produced 10 million lines of usable code last year. That’s 33,000 years of output from one human. rUv’s approach proves one of two things: he’s either an outlier or a leading indicator of what’s to come. In this episode, we talk to rUv about:  His approach to training autonomous agents The rapid advancements in agentic code development  Why LLMs are vulnerable to data poisoning Why Python is bad for agentic development

What does it take to ensure AI is safe, ethical, and resilient? In this season finale, Anthropic’s CISO joins Aaron to discuss the critical intersection of innovation, data privacy, and sovereignty, offering an optimistic perspective on what lies ahead for the future of confidential AI.   

AI is full of potential, but what does it really take to make it work in complex environments? Will Grannis, CTO and VP at Google Cloud, shares his perspective on bridging AI innovation with practical application, including insights into the real challenges and rewards of implementing AI in today’s top enterprises.

Can AI be both innovative and private? NVIDIA VP of Software Security Daniel Rohrer and Opaque Co-Founder and President Raluca Ada Popa discuss the advancements in privacy-preserving technology that enable organizations to push AI forward without compromising data sovereignty.

Generative AI is transforming industries—but how do we ensure it’s safe? Teresa Tung, Senior Managing Director & Global Data Capability Lead at Accenture, dives into what companies need to make generative AI both impactful and secure, exploring the frameworks that bring safety to scale.

Join Mark Papermaster, CTO at AMD with a rich background at IBM and Apple, and Mark Russinovich, CTO at Microsoft Azure and tech pioneer, as they delve into the world of confidential computing. They discuss how this technology enhances security in AI applications, making them trustworthy and easy to adopt. The duo highlights the importance of partnerships in driving innovation and share insights on multi-party computation's role in safeguarding privacy across industries. Discover how these advancements are reshaping data management and business strategies.

Welcome to AI Confidential, the podcast that explores the future of AI and data sovereignty.   In today’s rapidly evolving tech landscape, AI is at the heart of transformation across industries. From finance to high tech, leaders are racing to harness its power while navigating complex challenges like data sovereignty, regulatory compliance, and privacy. But what if there was a way to solve these problems without sacrificing innovation?   On AI Confidential, join host Aaron Fulkerson as he dives deep with visionaries from AMD, Accenture, Google Cloud, Microsoft Azure, NVIDIA, Opaque Systems, and more to uncover how confidential computing is reshaping what’s possible for AI. Together, they explore pressing questions, share groundbreaking use cases, and take bold steps in predicting AI's future.