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The Artificial Intelligence Podcast

The Artificial Intelligence Podcast

Dr. Tony Hoang 92 Episodes Oct 12, 2026

A podcast featuring interviews and conversations with thought leaders in artificial intelligence, machine learning, and data science. Ranked in the top 2% of over 7 million podcasts globally according to Spotify Wrapped 2025. Hosted by Dr. Tony Hoang, it explores cutting-edge topics and insights from experts in the field.

Episodes

Interview #95 Jeff McMillan, founder of McMillanAI and former CAIO at Morgan Stanley
Interview #95 Jeff McMillan, founder of McMillanAI and former CAIO at Morgan Stanley Oct 12, 2026 00:28:50 Jeff McMillan, founder of McMillanAI and former Chief AI Officer at Morgan Stanley, breaks down why most of today's 70,000 AI companies will not survive: anyone can build a polished product in a weekend, so the only durable edge is proprietary data and deep domain expertise. He explains why AI will reprice traditional software rather than kill it, and why handing out Copilot and expecting ROI
Interview #94 Kamal Hathi, SVP and GM, Splunk at Cisco
Interview #94 Kamal Hathi, SVP and GM, Splunk at Cisco Oct 2, 2026 00:21:48 Kamal Hathi, SVP and GM of Splunk at Cisco, breaks down why intent is never enough to control an AI agent: agents are ruthless goal seekers, and asking one to free up 3 percent of disk space can end with 97 percent free because nobody said keep the rest. He explains why trust means verification rather than instruction, and why it includes the invoice, comparing it to hiring a contractor you trust
Interview #93 Hao Yang, VP and Head of AI, Splunk at Cisco
Interview #93 Hao Yang, VP and Head of AI, Splunk at Cisco Oct 1, 2026 00:16:11 Hao Yang, VP and Head of AI at Splunk, breaks down why sampling an AI system's output cannot earn trust: a fraction of ten thousand probabilistic calls will be wrong, and a spot check is unlikely to find them. He explains why a small model can grade a frontier model reliably inside a narrow context but not outside one, and why prompt injection follows from the architecture rather than being a
Interview #92 Mangesh Pimpalkhare, SVP and GM, Splunk Platform at Cisco
Interview #92 Mangesh Pimpalkhare, SVP and GM, Splunk Platform at Cisco Sep 30, 2026 00:19:44 Mangesh Pimpalkhare, SVP and GM of Splunk Platform at Cisco, breaks down why agentic AI generates more telemetry than the systems it monitors, and why nobody can yet say when observing AI costs more than running it. He explains the decade spent preaching centralized data was always partial, since machine data never sat in one system, and that what broke was volume rather than architecture, pushing
Interview #91 Johan Land, Chief Product Officer of Samsara
Interview #91 Johan Land, Chief Product Officer of Samsara Jul 13, 2026 00:24:06 Johan Land, Chief Product Officer at Samsara, breaks down why every major AI lab crowded into the easy 90% of knowledge work while ignoring the 40% of the economy that is physical and the 80% of workers who never sit at a desk. He explains why intelligence on a battery budget has to live on the edge - collision warnings fire in milliseconds, making GenAI's hundreds of milliseconds of latency u
Interview #90 Ketan Karkhanis, CEO of ThoughtSpot
Interview #90 Ketan Karkhanis, CEO of ThoughtSpot Jul 2, 2026 00:39:04 Ketan Karkhanis, CEO of ThoughtSpot, breaks down why two decades of self-service BI was a hoax that only handed everyone the right to build their own dashboards, leaving companies sitting on 50,000 of them with no idea what to do. He explains why the industry's shortcut of bolting a language model onto your data and letting it write the SQL is doomed: analytics are deterministic while AI is pr
Interview #89 TVN Reddy, CEO of Aptean
Interview #89 TVN Reddy, CEO of Aptean Jun 8, 2026 00:27:44 TVN Reddy, CEO of Aptean, breaks down why the entire software industry is selling "bigger is better" AI while the real goal is the opposite: people spending 80% less time in systems and more time doing the work that actually drives the business. He explains why general purpose models hand every competitor the same 95% while the deep vertical 5% drives the outsized gains, why enterprise A
Interview #88 Bill Franks, President at Analytics Advisory Partners
Interview #88 Bill Franks, President at Analytics Advisory Partners Jun 1, 2026 00:36:27 Bill Franks, President of Analytics Advisory Partners, breaks down why a degree no longer proves much and employers now hire on what you can show, not what you know. He explains the pipeline trap companies are walking into - handing every junior, tactical task to AI the way firms offshored it back in 2000, then finding no one qualified to step into the senior roles - and argues teams should delibe
Interview #87 Vishnu Hari, CEO of ego AI
Interview #87 Vishnu Hari, CEO of ego AI May 25, 2026 00:19:09 Vishnu Hari, CEO of Ego AI, breaks down why the labs with billions in compute missed the product hiding in plain sight: character AI quietly tops every consumer retention leaderboard while the serious labs write it off as a sideshow. He argues humanness itself is the hard problem - dangerous, uncontrollable, and unchained - so the giants retreat to safe coding agents and ship characters that colla
Interview #86 Carter Huffman, CTO of Modulate
Interview #86 Carter Huffman, CTO of Modulate May 7, 2026 00:30:40 Carter Huffman, CTO of Modulate, breaks down why voice AI keeps failing in production despite years of "solved" transcription claims. He explains the "transcript trap" that fools dev teams into shipping voice agents that crumble on real calls, why bigger language models actually make latency worse, and how ensemble approaches with smaller specialized models outperform monolithi
Interview #85 Babak Hodjat, CAIO at Cognizant
Interview #85 Babak Hodjat, CAIO at Cognizant Apr 8, 2026 00:45:22 Join Babak Hodjat, Chief AI Officer at Cognizant, as he unpacks what's actually happening at the cutting edge of agentic AI — from agents that run continuously without being asked, to the governance crisis quietly unfolding inside enterprises right now. Babak draws on decades of AI research to break down multi-agent architecture, the TerraLingua experiment that let AI agents form their own soc
Interview #84 Hagay Lupesko, SVP of AI Inference at Cerebras Systems
Interview #84 Hagay Lupesko, SVP of AI Inference at Cerebras Systems Apr 2, 2026 00:47:34 Join Hagay Lupesko, SVP of AI Inference at Cerebras Systems, for a deep dive into the rapidly evolving world of AI inference. Hagay breaks down why inference has overtaken training as the dominant AI workload, how Cerebras' wafer-scale chip architecture delivers 10-20x faster performance than NVIDIA GPUs, and why CUDA is no longer the moat many think it is. He also covers how DeepSeek wiping $

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