887: Multi-Agent Teams, Quantum Computing and the Future of Work, with Dell’s Global CTO John Roese

887: Multi-Agent Teams, Quantum Computing and the Future of Work, with Dell’s Global CTO John Roese

Author: Jon Krohn May 13, 2025 Duration: 1:02:04
Jon Krohn speaks to John Roese about the promise of multi-agent teams for business, the benefits of agentic AI systems that can identify and complete tasks independently, and how these systems demand new authentication, authorization, security and knowledge-sharing standards. They also discuss how to use AI to refine project ideas down to a core business need, as well as the new and emerging careers in the tech industry and beyond, all thanks to AI. Additional materials: ⁠⁠www.superdatascience.com/887 This episode is brought to you by ⁠Adverity, the conversational analytics platform⁠ and by the ⁠Dell AI Factory with NVIDIA⁠. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:54) Why ROI is the most important aspect of an AI-driven project  (14:06) Why high-impact AI projects trigger a flywheel of success (23:32) The future of agentic systems  (30:28) How to manage agentic systems at scale (46:36) The disruptive nature of quantum computing

Hosted by Dr. Jon Krohn, Super Data Science: ML & AI Podcast with Jon Krohn is a deep and accessible exploration of how artificial intelligence and machine learning are reshaping our world. Each episode features conversations with leading researchers, engineers, and entrepreneurs from both academia and industry, breaking down complex ideas into something tangible and relevant. You'll hear firsthand about emerging techniques, practical applications, and the evolving landscape of data-driven careers. The sheer volume of data in our world is growing at a staggering rate, and this podcast serves as a guide to understanding that expansion and finding your place within it. Rather than offering abstract theory, these discussions focus on real-world impact, from cutting-edge algorithms to the human stories behind major breakthroughs. Tune in for a thoughtful, nuanced look at the tools and trends that are defining the future, all through the lens of experts who are building that future every day. Whether you're actively working in the field or simply curious about the forces driving technological change, this podcast provides a consistent source of insight and inspiration, demystifying the science that is quietly transforming every aspect of our lives.
Author: Language: English Episodes: 100

Super Data Science: ML & AI Podcast with Jon Krohn
Podcast Episodes
916: The 5 Key GPT-5 Takeaways [not-audio_url] [/not-audio_url]

Duration: 9:40
GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community’s underwhelmed response to its release. He outlines five features of the model and…
915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi [not-audio_url] [/not-audio_url]

Duration: 1:09:33
Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their o…
913: LLM Pre-Training and Post-Training 101, with Julien Launay [not-audio_url] [/not-audio_url]

Duration: 1:15:16
Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists wh…
912: In Case You Missed It in July 2025 [not-audio_url] [/not-audio_url]

Duration: 32:38
In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (E…
909: Causal AI, with Dr. Robert Usazuwa Ness [not-audio_url] [/not-audio_url]

Duration: 1:22:27
Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, R…