Building Trust in AI

• Mark Papermaster, CTO & EVP at AMD
• Mark Russinovich, CTO and Deputy CISO of Microsoft Azure

How do you build AI applications that are not only powerful but also trustworthy and easy to adopt? Join Mark Papermaster and Mark Russinovich as they discuss the essential role of confidential computing in making AI seamless, secure, and accessible to businesses everywhere.

Safe and Secure Generative AI

Generative AI is transforming industries—but how do we ensure it’s safe? Teresa Tung dives into what companies need to make generative AI both impactful and secure, exploring the frameworks that bring safety to scale.

Privacy Meets Innovation with Daniel Rohrer (NVIDIA) & Raluca Ada Popa (Opaque)

• Daniel Rohrer, VP of Software Security at NVIDIA
• Raluca Ada Popa, Co-Founder and President, Opaque

Can AI be both innovative and private? NVIDIA’s Daniel Rohrer and Opaque’s Raluca Ada Popa discuss the advancements in privacy-preserving technology that enable organizations to push AI forward without compromising data sovereignty.

Making AI Work in the Real World

• Will Grannis, CTO & VP at Google Cloud

AI is full of potential, but what does it really take to make it work in complex environments? Will Grannis 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.

Protecting Our Future from AI

• Jason Clinton, CISO at Anthropic

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.

Unleashing the Power of Agents with the "Forrest Gump of Tech"

• Reuven Cohen, Founder, Agentics Foundation

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; and Why Python is bad for agentic development.

Building Transparent, Open-Source AI with Sriram Raghavan

• Sriram Raghavan, Vice President of IBM Research AI

Hosts Aaron Fulkerson and Mark Hinkle sit down with Sriram Raghavan, Vice President of IBM Research AI, at the AllThingsOpen.ai conference. As an experienced industry expert, Sriram leads a global team of over 750 research scientists and engineers focused on advancing AI. Sriram and IBM believe that the future of AI is open source. That’s why IBM recently contributed three AI projects — Docling, Data Prep Kit, and BeeAI — to the Linux Foundation. And while there is a lot of hype around LLMs right now, IBM is leaning into smaller “fit-for-purpose” models that give developers choice. In the episode, Sriram also digs into IBM’s approach to open-source models; What innovations he sees coming for enterprise AI; and How his team is approaching responsible, secure AI.