986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian

986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian

Author: Jon Krohn April 24, 2026 Duration: 29:43
CTO of Propel Software Kishore Subramanian talks to Jon Krohn about how product lifecycle management (PLM) software and quality management systems help ensure compliance, record management, and quality assurance. Listen to the episode to hear Kishore Subramanian talk about best practices for getting started with Agentforce 360, his top tips for deploying AI projects, and why yoga and meditation could make you better at building AI products! Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠ In this episode you will learn: (05:21) How Propel Software meets its customers’ demands (07:57) About Propel One AI  (13:31) A case study for Salesforce’s Agentforce 360 Platform (17:08) How to build an enterprise-ready agent with Agentforce 360 (19:21) How to get your AI tool into production

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
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…
906: How Prof. Jason Corso Solved Computer Vision’s Data Problem [not-audio_url] [/not-audio_url]

Duration: 29:29
Jason Corso speaks to Jon Krohn in this Five-Minute Friday all about Voxel51’s latest tool, Verified Auto-Labelling, and the company’s incredible success in developing popular tools for computer vision. Additional materi…