Eye On A.I.
Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
Latest Episode
#295 Fergal Reid: Why Your Bots Fail and How Agents Fix Your Customer Support (19.10.2025)
Previous Episodes
- #294 Bhaskar Roy: How Workato Is Building the Rise of the Agentic Enterprise
- #293 Greg Shewmaker: How Enterprises Can Implement and Scale with Agentic AI
- #292 Peeyush Ranjan: How Nurix Is Redefining Voice AI for the Enterprise
- #291 Naveen Jain: How AI Predicts Cancer, Diabetes & Chronic Illness
- #290 Joel Hron: How Thomson Reuters is Approaching The Next Era of AI
- #289 Eiso Kant: How Reinforcement Learning and Coding Could Unlock Human-Level AI
- #288 Florian Douetteau: How Enterprises Can Scale and Adopt Agentic AI
- #287 Sahil Bansal: Why Developers Are Switching to CodeRabbit's AI Code Reviews
- #286 Ram Venkatesh: How to Build, Operate & Scale Enterprise AI Agents (Sema4.ai)
- #285 Raj Koneru: How Kore.ai is Building No Code Enterprise-Grade Agentic AI
- #284 Pat Utz: Inside Abstract, The AI That Decodes Laws and Regulations
- #283 Andrei Danescu: How Dexory Uses AI & Robotics for Warehouse Management
- #282 Chris O’Neill: How GrowthLoop is Using Agentic AI for Real-Time, Personalized Marketing
- #281 Leon Song: The Research Driving Next-Gen Open-Source Models (Together AI)
- #280 Aytekin Tank: How to Fully Automate Your Customer Service with AI Agents
- #279 Matthew Carroll: Immuta’s Approach to Secure, Scalable Data Access in the Age of AI
- #278 Julia Peyre: How Schneider Electric is Pioneering Enterprise AI at Scale
- #277 Alex Salazar: Arcade’s Vision to Make AI Agents Secure and Scalable
- #276 Ryan Wang: How Assembled is Building the Future of AI-Powered Customer Support
- #275 Nandan Nayampally: How Baya Systems is Fixing the Biggest Bottleneck in AI Chips (Data Flow)
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