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.
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#303 Fei-Fei Li: Spatial Intelligence, World Models & the Future of AI
11/23/2025
#303 Fei-Fei Li: Spatial Intelligence, World Models & the Future of AI
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit and add your support. How will AI evolve once it can understand and reason about the 3D world, not just text on a screen? In this episode of Eye on AI, host Craig Smith speaks with Fei Fei Li about the rise of spatial intelligence and the world models that could transform how machines perceive, imagine, and interact with reality. We explore how spatial intelligence goes beyond language to connect perception, action, and reasoning in physical environments. You will hear how models like Marble build consistent and persistent 3D spaces, why multimodal inputs matter, and what it takes to create digital worlds that are useful for robotics, simulation, design, and creative workflows. Fei Fei also explains the challenges of long term memory, continuous learning, and the search for training objectives that mirror the role next token prediction plays in language models. Learn how spatial reasoning unlocks new possibilities in robotics and telepresence, why classical physics engines still matter, and how future AI systems may merge perception, planning, and imagination. You will also hear Fei Fei’s perspective on the limits of current architectures, why true understanding is different from human understanding, and how world models could shape the next generation of intelligent systems. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#302 Karl Friston: How the Free Energy Principle Could Rewrite AI
11/19/2025
#302 Karl Friston: How the Free Energy Principle Could Rewrite AI
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit and add your support. How could Karl Friston’s Free Energy Principle become a blueprint for the future of AI? In this episode of Eye on AI, host Craig Smith sits down with Karl Friston, the neuroscientist behind the Free Energy Principle and advisor to Verses AI, to explore how active inference and brain inspired generative models might move us beyond transformer based systems. They unpack how Axiom, Verses’ new architecture, uses probabilistic beliefs and message passing to build agents that learn like brains instead of just predicting the next token. We look at why transformers face scaling and reliability limits, how Free Energy unifies prediction, perception, and action, and what it means for an AI system to carry explicit uncertainty instead of overconfident guesses. Learn how active inference supports continual learning without catastrophic forgetting, how structure learning lets models grow and prune themselves, and why embodiment and interaction with the real world are essential for grounding language and meaning. You will also hear how Axiom can sit beside or beneath large language models, how explicit uncertainty can reduce hallucinations in high stakes workflows, and where these ideas are already being tested in areas like logistics, robotics, and autonomous agents. By the end of the episode, you will have a clearer picture of how Karl Friston’s Free Energy blueprint could reshape AI architectures, from enterprise planning systems to embodied agents that understand and act in the world. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#301 Hemant Banavar & Ryan Paulson: The AI Safety System Driving Toward Zero Harm
11/16/2025
#301 Hemant Banavar & Ryan Paulson: The AI Safety System Driving Toward Zero Harm
How are AI and telematics changing safety for fleets in the real world, and what does it take to get from basic recordings to true accident prevention? In this episode of Eye on AI, host Craig Smith speaks with Hemant, Chief Product Officer at Motive, and Ryan, CIO at Fusion Site Services, to explore how AI powered cameras and telematics are transforming safety, productivity, and profitability across the physical economy, from trucking and construction to field services. We look at what makes safety AI trustworthy at scale, how to reduce false alerts that drivers ignore, and how to combine in cab coaching, human review, and rich telematics data to drive down risky behaviors. Learn how Fusion Site Services cut unsafe events by more than ninety percent while tripling in size, slashed insurance claims and premiums, and used real time insights to tackle idling, under utilized assets, and the hidden costs of unsafe operations. You will also hear how leading fleets run side by side vendor tests, design incentive programs that get drivers on board with cameras, and build a culture around zero preventable accidents. If you are responsible for safety, operations, or risk, this episode will show you how to evaluate AI and telematics platforms, which benchmarks to demand, and how to turn your data into safer roads and stronger unit economics. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#300 Fred Laluyaux: How Decision Intelligence & AI Agents Are Redefining Enterprise Operations
11/13/2025
#300 Fred Laluyaux: How Decision Intelligence & AI Agents Are Redefining Enterprise Operations
How are Decision Intelligence and AI agents reshaping enterprise operations today? In this episode of Eye on AI, host Craig Smith sits down with Fred Laluyaux, CEO of Aera Technology, to unpack how organizations move from dashboards and ad hoc workflows to a system that senses, decides, and acts. AI is not just about chatbots. At the heart of this transformation is decision intelligence: connecting data, analytics, AI, and automation to optimize decisions across the enterprise. Fred explains why this is becoming the operating backbone of the modern enterprise and how it accelerates the shift toward autonomous, self-driving businesses. We look at how to build a decision intelligence stack end to end, how AI agents collaborate with people, and how to stand up a control room that monitors decisions across supply chain, finance, and customer operations. Learn how leading companies model decisions, govern them safely, and measure impact with clear metrics that matter, including service level, cost to serve, cash flow, inventory turns, and time to resolution. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#299 Jacob Buckman: Why the Future of AI Won’t Be Built on Transformers
11/09/2025
#299 Jacob Buckman: Why the Future of AI Won’t Be Built on Transformers
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit and add your support. Why do today’s LLMs forget key details over long context, and what would it take to give them real memory that scales? In this episode of Eye on AI, host Craig Smith explores Manifest AI’s Power Retention architecture and how it rethinks memory, context, and learning for modern models. We look at why transformers struggle with long inputs, how state space and retention models keep context at linear cost, and how scaling state size unlocks reliable recall across lengthy conversations, code, and documents. We also cover practical paths to retrofit existing transformer models, how in context learning can replace frequent fine tuning, and what this means for teams building agents and RAG systems. Learn how product leaders and researchers measure true long context quality, which pitfalls to avoid when extending context windows, and which metrics matter most for success, including recall consistency, answer fidelity, task completion, CSAT, and cost per resolution. You will also hear how to design per user memory, set governance that prevents regressions, evaluate LLM as judge with human review, and plan a secure rollout that improves retrieval, multi step workflows, and agent reliability across chat, email, and voice. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#298 Ryan Kolln: How Appen Trains the World’s Most Powerful AI Models
11/06/2025
#298 Ryan Kolln: How Appen Trains the World’s Most Powerful AI Models
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit and add your support. How do the world’s most powerful AI models get trained and trusted at scale, and what does that really take from data to deployment? In this episode, Appen CEO Ryan Kolln joins Eye on AI to unpack how rigorous human evaluation, culturally aware data, and model-based judges come together to raise real-world performance. In this episode of Eye on AI, host Craig Smith speaks with Ryan Kolln, CEO of Appen, about building evaluation systems that go beyond static benchmarks to measure usefulness, safety, and reliability in production. They explore how human raters and AI evaluators work in tandem, why localization matters across regions and domains, and how quality controls keep feedback signals trustworthy for training and post-training. Ryan explains how evaluation feeds reinforcement strategies, where rubric-driven human judgments inform reward models, and how enterprises can stand up secure workflows for sensitive use cases. He also discusses emerging needs around sovereign models, domain-specific testing, and the shift from general chat to agentic workflows that operate inside real business systems. Learn how leading teams design human-in-the-loop evaluation, when to route judgments from models back to expert reviewers, how to capture cultural nuance without losing universal guardrails, and how to build an evaluation stack that scales from early prototypes to production AI. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#297 Jeff Lunsford: How Agentic AI Will Redefine Every Digital Interaction
10/30/2025
#297 Jeff Lunsford: How Agentic AI Will Redefine Every Digital Interaction
Why will agentic AI redefine every digital interaction, and what foundation do enterprises need to make it safe, trusted, and real time? In this episode of Eye on AI, host Craig Smith sits down with Jeff Lunsford to unpack how a neutral customer data platform like Tealium becomes the control plane for agentic systems. We cover how to collect and unify first party data responsibly, enforce consent and identity across channels, and feed the right context to models so agents can act with confidence in the moment. You will hear how real time profiles, event streams, and deterministic identity power personalization, automation, and transactions across web, mobile, ads, email, and customer support. Learn how leading enterprises are preparing for agentic commerce that could double digital interactions, why governance and privacy must be embedded into delivery teams, and which standards enable safe transactions and payments with agents. You will also hear how to build an “agentic front door” for your business, design guardrails and spending allowances, choose where to run reasoning and inference, and measure impact with metrics like conversion rate, ROAS, CSAT, and cost per resolution. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#296 Yeop Lee: How Coxwave is Redefining AI Evaluation
10/26/2025
#296 Yeop Lee: How Coxwave is Redefining AI Evaluation
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. How is Coxwave Redefining AI Evaluation? In this episode of Eye on AI, host Craig Smith is joined by Yeop Lee, Head of Product at Coxwave. Together they explore how teams move beyond accuracy-only metrics to outcome focused evaluation with Coxwave’s Align. We look at how Align measures satisfaction, trust, and task completion across chat, email, and voice, how LLM as judge pairs with human review, and how product teams search conversations to find hidden failure patterns that block adoption. Learn how leading companies design an evaluation stack that guides prompts, agents, and UX, which pitfalls to avoid when shipping updates, and which metrics matter most for success, including completion rate, CSAT, retention, and cost per resolution. You will also hear how to run experiment tracking with model and prompt change logs, set up governance that prevents regressions, and choose between SaaS and on premise deployments that meet security and compliance needs. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#295 Fergal Reid: Why Your Bots Fail and How Agents Fix Your Customer Support
10/19/2025
#295 Fergal Reid: Why Your Bots Fail and How Agents Fix Your Customer Support
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Why do so many chatbots fail in the real world, and how can AI agents actually fix customer support? In this episode of Eye on AI, host Craig Smith explores how teams move beyond scripted bots to production-grade AI agents that resolve real issues across chat, email, and voice. We look at what makes agents reliable at scale, how to configure them safely, and how to manage them like digital workers alongside your human team. Learn how leading companies approach agent onboarding and governance, which pitfalls to avoid, and which metrics matter most for success, including resolution rate, CSAT, and cost per resolution. You will also hear how to enable actions like refunds and returns through secure procedures, design human handoff that customers appreciate, and build an omnichannel rollout plan that scales responsibly. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
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#294 Bhaskar Roy: How Workato Is Building the Rise of the Agentic Enterprise
10/16/2025
#294 Bhaskar Roy: How Workato Is Building the Rise of the Agentic Enterprise
Try OCI for free at http://oracle.com/eyeonai This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved. How are enterprises moving from AI experiments to a true agentic enterprise with measurable ROI? In this episode of Eye on AI, host Craig Smith speaks with Bhaskar Roy from Workato about how organizations can design, orchestrate, and govern AI agents at scale without sacrificing security or control. Together they unpack Workato’s approach to building a single workspace for employees while agents and apps work behind the scenes to automate real business processes. They explain why the future of enterprise AI depends on orchestration, permissions, and human in the loop design. You will hear how Workato One and Workato Go bring connectivity, action, and governance into one stack, how teams assign KPIs to agents and track outcomes, and how to reduce agent sprawl while optimizing SaaS spend. Learn how leading companies are defining the agentic enterprise, what pitfalls to avoid when moving from pilots to production, and how to measure impact across sales, IT, support, HR, and finance so AI drives durable business value. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X:
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#293 Greg Shewmaker: How Enterprises Can Implement and Scale with Agentic AI
10/13/2025
#293 Greg Shewmaker: How Enterprises Can Implement and Scale with Agentic AI
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. How can enterprises truly scale with agentic AI? In this episode of Eye on AI, host Craig Smith speaks with Greg Shewmaker, CEO of r.Potential, about how organizations can successfully implement agentic AI systems that enhance human performance instead of replacing it. Greg explains why the future of work depends on a new partnership between people and intelligent digital agents. He shares how r.Potential, a spin-out from the Adecco Group, helps enterprises design “digital workforces,” integrate AI agents into complex systems, and rethink productivity from the C-suite down. Learn how leading companies are approaching AI adoption, what pitfalls to avoid, and why agentic AI could redefine how enterprises operate and grow in the years ahead. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
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#292 Peeyush Ranjan: How Nurix Is Redefining Voice AI for the Enterprise
10/09/2025
#292 Peeyush Ranjan: How Nurix Is Redefining Voice AI for the Enterprise
Discover how Neurix is building the next generation of voice AI that sounds and reacts like a human in this conversation with Peeyush, former Google technologist and co-founder of Miracle Labs. Peeyush shares how Neurix is solving the toughest challenges in conversational AI — from eliminating latency to creating natural, real-time dialogue that mirrors human interaction. He explains why voice is the hardest frontier in AI, how Neurix’s proprietary models manage conversation flow, and what it takes to integrate voice agents into enterprise systems at scale. Learn how Neurix is combining low-latency speech recognition, dialogue management, and large language models to deliver seamless, multilingual customer experiences. If you’re a business leader, product builder, or AI professional interested in how human-like voice agents are transforming customer support and enterprise communication, this episode reveals the future of intelligent conversation. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#291 Naveen Jain: How AI Predicts Cancer, Diabetes & Chronic Illness
10/06/2025
#291 Naveen Jain: How AI Predicts Cancer, Diabetes & Chronic Illness
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit and add your support. Can AI and RNA testing make illness optional? In this episode, Eye on AI host Craig S. Smith sits down with Naveen Jain, founder and CEO of Viome, to explore how RNA sequencing and artificial intelligence are transforming our understanding of chronic disease. Jain shares how a personal tragedy led him to launch Viome, a company on a mission to digitize the human body, predict illness before symptoms appear, and revolutionize healthcare. Together they discuss how Viome uses metatranscriptomics to analyze microbiome and human gene expression, what makes RNA a better indicator of health than DNA, and how large molecular AI models are paving the way for early detection of cancer, diabetes, Alzheimer’s, and more. Jain also reveals his bold entrepreneurial framework—“Why this, why now, why me?”—and his belief that asking better questions is the real key to innovation. If you’re interested in the intersection of AI, biotechnology, and human longevity, this is an episode you won’t want to miss. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#290 Joel Hron: How Thomson Reuters is Approaching The Next Era of AI
09/29/2025
#290 Joel Hron: How Thomson Reuters is Approaching The Next Era of AI
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit and add your support. Joel Hron, Chief Technology Officer at Thomson Reuters, joins Eye on AI to unpack the future of agentic systems and what it takes to build them responsibly at enterprise scale. We dive into the shift from prompt-based AI to true agentic workflows capable of planning, reasoning, and executing complex tasks. Joel breaks down how Thomson Reuters is deploying generative AI across law, tax, risk, and compliance, while keeping human experts in the loop to ensure trust and accuracy in high-stakes domains. Topics include: - What separates agentic AI from simple prompt-based tools - How “agency dials” (autonomy, tools, memory) change system behavior - Infrastructure and architecture required for multi-agent collaboration - Why human verification and user experience design are essential for trust - The future of coding, engineering skills, and AI adoption inside enterprises If you want to understand how a 170-year-old company is reinventing itself with AI — and what’s next for agentic systems in business and knowledge work — this conversation is a must-listen. Stay Updated: Craig Smith on X:Eye on A.I. on X:
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#289 Eiso Kant: How Reinforcement Learning and Coding Could Unlock Human-Level AI
09/24/2025
#289 Eiso Kant: How Reinforcement Learning and Coding Could Unlock Human-Level AI
How do we get from today’s AI copilots to true human-level intelligence? In this episode of Eye on AI, Craig Smith sits down with Eiso Kant, Co-Founder of Poolside, to explore why reinforcement learning + software development might be the fastest path to human-level AI. Eiso shares Poolside’s mission to build AI that doesn’t just autocomplete code — but learns like a real developer. You’ll hear how Poolside uses reinforcement learning from code execution (RLCF), why software development is the perfect training ground for intelligence, and how agentic AI systems are about to transform the way we build and ship software. If you want to understand the future of AI, software engineering, and AGI, this conversation is packed with insights you won’t want to miss. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) The Missing Ingredient for Human-Level AI(01:02) Eiso Kant’s Journey(05:30) Using Software Development to Reach AGI(07:48) Why Coding Is the Perfect Training Ground for Intelligence(10:11) Reinforcement Learning from Code Execution (RLCF) Explained(13:14) How Poolside Builds and Trains Its Foundation Models(17:35) The Rise of Agentic AI(21:08) Making Software Creation Accessible to Everyone(26:03) Overcoming Model Limitations(32:08) Training Models to Think(37:24) Building the Future of AI Agents(42:11) Poolside’s Full-Stack Approach to AI Deployment(46:28) Enterprise Partnerships, Security & Customization Behind the Firewall(50:48) Giving Enterprises Transparency to Drive Adoption
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#288 Florian Douetteau: How Enterprises Can Scale and Adopt Agentic AI
09/21/2025
#288 Florian Douetteau: How Enterprises Can Scale and Adopt Agentic AI
Discover how enterprises can successfully adopt and scale agentic AI to create real business impact in this conversation with Florian Douetteau, CEO and co-founder of Dataiku. Florian shares why democratizing AI across the enterprise is essential, how to prevent agent sprawl, and what it takes to build a governance framework that keeps your data secure while enabling innovation. Learn about Dataiku’s enterprise AI blueprint, its partnership with NVIDIA, and how global companies are using agentic workflows to accelerate R&D, optimize operations, and stay competitive. If you’re a business leader, CTO, or data professional looking to scale AI safely and effectively, this episode is your playbook for the future of enterprise AI. Stay Updated: Craig Smith on X: Eye on A.I. on X: 00:00 Intro 00:31 Florian’s Background & Dataiku’s Founding 03:00 Enterprise Blueprint for AI with NVIDIA 05:13 Unique Needs of Financial Services 07:09 Building Agents on Dataiku 09:22 Permissioning & Governance 11:17 Agent Lifecycle Management 13:20 State of Agent-to-Agent Systems 15:02 Real-World Use Cases of Agents 16:28 The Most Complex Agents in Production 19:01 Future Vision: Headless Organizations 21:04 Human-Like Qualities of Agents 24:56 The LLM Mesh & Model Abstraction 28:55 Guardrails & Compliance 31:12 No-Code + Code-Friendly Collaboration 36:12 Breaking Silos & Centers of Excellence 41:36 Distribution & Seat Allocation 43:34 Most Common Agents by Industry 47:02 The State of Enterprise AI Adoption
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#287 Sahil Bansal: Why Developers Are Switching to CodeRabbit's AI Code Reviews
09/17/2025
#287 Sahil Bansal: Why Developers Are Switching to CodeRabbit's AI Code Reviews
Try OCI for free at This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved. AI-generated code is exploding, but reviewing it all has become the new bottleneck for engineering teams. In this episode, Sahil Bansil from CodeRabbit reveals how their AI-powered platform is transforming the code review process, helping developers ship faster without compromising quality. He explains how CodeRabbit uses advanced LLM context engineering to deliver senior-level review quality, reduce pull request merge times by up to 50%, and catch more bugs before they reach production. Whether you’re a developer, engineering manager, or CTO, this conversation shows why automated code review is essential in the AI era and how CodeRabbit can help your team scale software delivery while keeping quality high. Cut Code Review Time & Bugs in Half. Instantly with CodeRabbit: Stay Updated: Craig Smith on X:Eye on A.I. on X: (00:00) LLMs & Why Context Matters (02:26) Meet Sahil Bansil from CodeRabbit (04:04) AI Code Boom & The Review Bottleneck (06:05) Why CodeRabbit Focused on Reviews, Not Generation (09:55) Keeping Humans in the Loop for Code Quality (14:30) IDE Reviews vs PR Governance (17:51) Inside CodeRabbit’s Context Engineering (20:42) Building Context from Code Graphs & Jira Tickets (22:15) Eliminating AI Hallucinations with Verification (27:19) Empowering Junior Developers & Legacy Code Support (32:40) CodeRabbit’s Open Source & Enterprise Success Stories (36:56) Cutting Review Times & PR Merge Delays (44:35) Scaling CodeRabbit & The Growing Market
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#286 Ram Venkatesh: How to Build, Operate & Scale Enterprise AI Agents (Sema4.ai)
09/14/2025
#286 Ram Venkatesh: How to Build, Operate & Scale Enterprise AI Agents (Sema4.ai)
Discover how is redefining enterprise AI with a platform built to help businesses build, operate, and scale SAFE AI agents. In this conversation, CTO and co-founder Ram Venkatesh explains why simply generating insights isn’t enough and why enterprises need AI that can act on those insights reliably, securely, and at scale. If you want to understand the future of agentic AI and how to safely scale AI across your organization, this episode is a must-watch. Stay Updated:Craig Smith on X: Eye on A.I. on X: (00:00) The Data-to-Action Gap (00:38) Ram’s Big Data Background (03:22) Why RPA Failed & Agents Win (04:39) Conversational Agents vs Manual Workflows (06:28) The Power of a Semantic Layer (08:20) Runbooks: Capturing Intent, Not Just Steps (11:16) Connecting Data Across Systems (15:12) How Sema4.ai Keeps AI Secure (17:37) From 20 to 2,000 Agents: Scaling the Fleet (20:20) Choosing the Right Agent Platform (26:22) Process Architects: The New Role in AI (29:00) Why Finance & Healthcare Lead in Adoption (30:04) Sema4.ai’s Pricing & Adoption Playbook (41:29) Scaling Faster with Snowflake Deployment (43:10) ISVs & Domain Experts as Agent Builders
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#285 Raj Koneru: How Kore.ai is Building No Code Enterprise-Grade Agentic AI
09/10/2025
#285 Raj Koneru: How Kore.ai is Building No Code Enterprise-Grade Agentic AI
Enterprise AI Agents for Work, Service and Process: founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships. We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run. If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Raj Koneru’s Journey & The Birth of Kore.ai (03:10) From Chatbots to Enterprise-Grade Agents(06:33) Security, Scale & Proof in the Market(07:04) What Agentic AI Really Means(12:16) Building & Governing AI Agents(17:26) Kore.ai’s Product Lines & Differentiation(20:22) Industry Applications & Case Studies(28:17) User Experience & Change Management(34:46) Governance, Identity & Cost Controls(39:56) Adoption Timelines & Market Outlook(43:51) Roadmap & Partnerships(47:38) Future of the Enterprise AI Landscape
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#284 Pat Utz: Inside Abstract, The AI That Decodes Laws and Regulations
09/07/2025
#284 Pat Utz: Inside Abstract, The AI That Decodes Laws and Regulations
What if AI could decode government in real time? In this episode of Eye on AI, Craig Smith sits down with Pat Utz, CEO and Co-Founder of Abstract, the AI startup building “regulatory superintelligence” to track and analyze laws, bills, and regulations across 145,000+ government entities. Pat explains how Abstract evolved from university research into a venture-backed company helping law firms, enterprises, and policymakers cut through the noise of Congress, state legislatures, and regulatory agencies. From uncovering hidden amendments in massive bills to proactively identifying risks and opportunities for businesses, Abstract is transforming how we understand legislation. We cover: How AI is reshaping lobbying, law, and compliance Why Abstract is focused on proactive intelligence, not reactive compliance The role of AI agents, LLMs, and retrieval-augmented generation (RAG) in policy analysis Real examples of AI influencing funding and legislation The future of democracy when citizens and businesses have true transparency into government Whether you’re in tech, law, government affairs, or just curious about how AI is changing democracy, this conversation reveals the future of policy intelligence. 🔗 Learn more about Abstract:
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#283 Andrei Danescu: How Dexory Uses AI & Robotics for Warehouse Management
09/03/2025
#283 Andrei Danescu: How Dexory Uses AI & Robotics for Warehouse Management
What if your warehouse could see everything, all the time? In this episode of Eye on AI, we sit down with Andrei Danescu, CEO & Co-Founder of Dexory, to explore how AI and robotics are transforming logistics. Andrei shares his journey from Formula 1 engineering to building one of the fastest-growing robotics companies in Europe. He explains how Dexory’s autonomous robots and real-time digital twins are giving warehouses unprecedented visibility, cutting errors, boosting efficiency, and even turning storage into a profit driver. We cover: Why warehouses struggle with visibility and how AI solves it The role of autonomous robots in scanning 10,000+ pallet locations per hour How digital twins unlock optimization in space, flow, and production Dexory’s vision for the future of supply chains across Europe and the US The balance between human workers and automation in logistics If you want to understand the future of logistics, warehouse technology, and supply chain visibility, this conversation will give you a front-row seat. Subscribe for more deep dives on AI, robotics, and the future of work. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Intro (02:08) The Birth of Dexory and Its Mission (04:23) Building Autonomous Robots and Digital Twins (08:52) Optimizing Space, Storage, and Traffic Flow (12:15) DexoryView: The Platform Behind the Robots (16:03) Humans, Robots, and the Future of Warehouses (18:54) AI, SLAM, and the Tech Driving Dexory (23:17) Real-Time Visibility and Error Elimination (27:31) Multi-Site Insights and Supply Chain Potential (32:47) Scaling Dexory: Markets, Adoption, and Growth (37:01) Scanning at Scale: 10,000+ Pallets Per Hour (41:11) Roadmap: AI Agents, Simulations, and Next Steps (45:13) A Vision for Global Logistics Networks
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#282 Chris O’Neill: How GrowthLoop is Using Agentic AI for Real-Time, Personalized Marketing
09/02/2025
#282 Chris O’Neill: How GrowthLoop is Using Agentic AI for Real-Time, Personalized Marketing
Marketing is changing forever. In this episode of Eye on AI, host Craig Smith sits down with Chris O’Neill, CEO of GrowthLoop and board member at Gap, to explore how agentic AI and GrowthLoop’s Compound Marketing Engine are transforming the way brands connect with their customers. Chris shares how GrowthLoop applies AI on top of modern data clouds like Snowflake, BigQuery, and Databricks to automate audience targeting, personalize campaigns in real time, and accelerate experimentation loops. He explains why speed and iteration matter more than ever, how companies like Allegro doubled their return on ad spend with GrowthLoop, and why the future of marketing belongs to brands that embrace agentic AI. If you’re a marketer, technologist, or business leader looking to stay ahead in the age of AI, this conversation is packed with practical insights you can’t afford to miss. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
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#281 Leon Song: The Research Driving Next-Gen Open-Source Models (Together AI)
08/25/2025
#281 Leon Song: The Research Driving Next-Gen Open-Source Models (Together AI)
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. In this episode of Eye on AI, we sit down with Leon Song, VP of Research at Together AI, to explore how open-source models and cutting-edge infrastructure are reshaping the AI landscape. From speculative decoding to FlashAttention and RedPajama, Leon shares how Together AI is building one of the fastest, most cost-efficient AI clouds—helping enterprises fine-tune, deploy, and scale open-source models at the level of GPT-4 and beyond. We dive into Leon’s journey from leading DeepSpeed and AI for Science at Microsoft to driving system-level innovation at Together AI. Topics include: The future of open-source vs. closed-source AI models Breakthroughs in speculative decoding for faster inference How Together AI’s cloud platform empowers enterprises with data sovereignty and model ownership Why open-source models like DeepSeek R1 and Llama 4 are now rivaling proprietary systems The role of GPUs vs. ASIC accelerators in scaling AI infrastructure Whether you’re an AI researcher, enterprise leader, or curious about where generative AI is heading, this conversation reveals the technology and strategy behind one of the most important players in the open-source AI movement. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#280 Aytekin Tank: How to Fully Automate Your Customer Service with AI Agents
08/17/2025
#280 Aytekin Tank: How to Fully Automate Your Customer Service with AI Agents
This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience. Visit to learn more. JotForm began nearly twenty years ago as a simple online form builder. Today, it has grown into a platform powering millions of users and has recently stepped into a new era of AI. In this episode, Aytekin Tank, founder and CEO of JotForm, shares the story of how the company pivoted from forms to launching AI Agents that are changing the way small and medium-sized businesses handle customer support and automation. Aytekin explains how JotForm’s AI journey started as an internal experiment to fill out forms by voice, only to discover that most users wanted it for customer service. That insight sparked the creation of JotForm AI Agents, tools that don’t just answer questions, but perform tasks, scale support teams, and transform the customer experience. Beyond the technology, Aytekin outlines a bold vision of the future where every business, no matter the size, will have its own AI-powered agent available around the clock to schedule appointments, answer questions, and even process transactions. This conversation explores how AI is reshaping customer service and why small businesses, nonprofits, and educators stand to benefit the most from this wave of innovation. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) The Scale of JotForm Today and the AI Vision (01:32) Aytekin’s Journey: From Developer to Bootstrap Founder (03:36) The Pivot: From Voice Forms to AI Customer Service (05:25) Building and Launching JotForm AI Agents (06:20) Using AI Internally: Cutting Tickets and Boosting Resolution Rates (08:13) Why AI Agents Go Beyond Chatbots (12:22) Demonstrating JotForm AI in Action (21:40) The Tech Stack Behind JotForm’s AI Agents (24:59) Training and Teaching Your Own AI Agent (33:27) Competition, Differentiation, and Market Strategy (36:55) Why Small Businesses Need AI the Most (38:24) The Future: Every Business With Its Own AI Agent (40:19) Pricing, Growth, and Lessons in Scaling AI (42:26) Slow Growth vs Explosive Scale and Lessons Learned (43:55) Aytekin’s Vision for AI in Business
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#279 Matthew Carroll: Immuta’s Approach to Secure, Scalable Data Access in the Age of AI
08/14/2025
#279 Matthew Carroll: Immuta’s Approach to Secure, Scalable Data Access in the Age of AI
Try OCI for free at This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved. Matthew Carroll, CEO and co-founder of Immuta, joins the Eye on AI podcast to explore how data access governance is evolving in the age of generative AI. As AI drives a surge in both human and non-human data consumers, traditional security models are no longer enough. Matthew explains how Immuta automates compliance, enforces policies across global jurisdictions, and scales secure access for enterprises—from blinded clinical trials in pharma to cross-border data sharing. Discover why AI-powered governance agents, risk-based access controls, and native cloud integration are the future of compliant, scalable data use. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) How Immuta Governs Data in the AI Era (02:59) Security Alone Isn’t Enough in AI (05:24) From U.S. Intel Roots to Immuta’s Platform (07:38) Pharma Trials: Protecting Billions in Drug Development (12:58) The Data Marketplace & Access Negotiations (16:07) Why Native Integration Beats Proxy Models (20:33) Managing Data Across Borders & Sovereignty Laws (25:33) The Data Governor Bottleneck (and AI Solution) (31:05) Inside Immuta’s SaaS Model & User Roles (33:26) Big Data Lessons Driving AI ROI (41:05) The Growing Data Governance Market (45:48) Storage Portability & Apache Iceberg Explained (48:32) Future Shift to Risk-Based, AI-Driven Access
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#278 Julia Peyre: How Schneider Electric is Pioneering Enterprise AI at Scale
08/10/2025
#278 Julia Peyre: How Schneider Electric is Pioneering Enterprise AI at Scale
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. How does a 150,000-employee global leader make AI work at scale? In this episode of Eye on AI, host Craig Smith sits down with Julia Peyre, Head of AI Strategy & Innovation at Schneider Electric, to explore how the company is pioneering enterprise AI adoption through its AI Hub, hybrid AI systems, and real-world digital twin applications. From breaking data silos and embedding AI into hardware, to partnering with startups and building predictive maintenance solutions, Julia shares a blueprint for bringing AI from pilot programs to full-scale deployment, across both internal processes and customer-facing products. Stay Updated: Craig Smith on X:Eye on A.I. on X: (00:00) Preview and Intro (01:58) Meet Julia Peyre & Her Role(03:19) Inside Schneider’s AI Hub(05:51) AI in Industrial Automation & Robotics(08:43) Internal vs External AI Applications(13:54) Why Schneider Is Ahead in AI Adoption(15:57) Centralized AI Hub Model(19:38) Hybrid AI: Combining Physics & Data(25:44) Early Steps in Multi-Agent Systems(29:54) Breaking Data Silos for AI at Scale(32:02) Predictive Maintenance with Hybrid AI(37:03) Long-Term View on AI Automation(42:37) Advice for Young Professionals in AI(44:21) Framework for Evaluating AI Solutions(50:19) Involving End Users in AI Testing
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#277 Alex Salazar: Arcade’s Vision to Make AI Agents Secure and Scalable
08/06/2025
#277 Alex Salazar: Arcade’s Vision to Make AI Agents Secure and Scalable
In this episode of Eye on AI, host Craig Smith sits down with Alex Salazar, co-founder and CEO of Arcade.dev, to explore what it really takes to build secure, scalable AI agents that can take real-world actions. While everyone’s talking about the future of autonomous agents, most never make it past the demo stage. Why? Because agents today lack secure infrastructure to connect with real tools like Gmail, Slack, Notion, GitHub—and do so on behalf of users without breaking authentication protocols. Alex shares how Arcade solves the missing layer in AI agent development: secure tool execution, user-specific authorization, OAuth flows, and production-ready consistency. Whether you're building with GPT‑4, Claude, or open-source models, Arcade handles the hard part—making agent actions actually work. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Why AI Agents Can’t Take Action (Yet) (01:27) Meet Alex Salazar: From Okta to Arcade (03:39) What Arcade.dev Actually Does (05:16) Agent Protocols: MCP, ACP & Where Arcade Fits (07:36) Arcade Demo: Building a Multi-Tool AI Agent (11:16) Handling Secure Authentication with OAuth (14:40) Why Agents Need User-Tied Authorization (19:25) Tools vs APIs: The Real Interface for LLMs (23:41) How Arcade Ensures Agents Go Beyond Demos (25:48) Why Arcade Focuses on Developers, Not Consumers (27:55) The Roadblocks to Production-Ready Agents (31:15) How Arcade Integrates Into Agent Workflows (33:16) Tool Calling & Model Compatibility Challenges (34:49) Arcade’s Pricing Model Explained (36:20) Competing with Big Tech: IBM, AWS & Others (38:38) Future of Agents: From Hype to Workflow Automation (41:58) Real Use Cases: Email Agents, Slack Bots, Finance & More (46:17) Agent Marketplaces & The Arcade Origin Story
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#276 Ryan Wang: How Assembled is Building the Future of AI-Powered Customer Support
08/03/2025
#276 Ryan Wang: How Assembled is Building the Future of AI-Powered Customer Support
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. What happens when AI meets the chaos of real-world customer support? In this episode of Eye on AI, we sit down with Ryan Wang, co-founder and CEO of Assembled, to unpack how AI is transforming the future of customer service, without replacing humans. Ryan reveals how Assembled went from a workforce scheduling tool to a full-stack AI support platform used by companies like Stripe, Robinhood, and Honeylove. You’ll learn how conversational AI agents are handling up to 75% of support inquiries, why voice is the next big frontier, and how AI copilots are helping human agents become 15% more productive. But this isn’t just hype. Ryan shares the hard economic truths behind automation—why humans aren’t going away, how companies are navigating global workforce optimization, and why hybrid AI + human systems are here to stay. This episode gives you a front-row seat into how the smartest companies are rethinking support at scale. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Preview and Intro (01:37) Ryan Wang’s Journey from Stripe to Assembled (04:55) Launching Assembled (09:49) From Scheduling Tool to AI-Powered Support (12:11) Who Uses Assembled: Companies vs. BPOs (14:57) Building Conversational and Voice AI Agents (21:10) Competing with Zendesk, Salesforce & Crescendo (23:07) How Assembled Integrates with Customer Support Stacks (25:40) The Niche Power of Workforce Management Tech (31:16) Why the Customer Support Market Is Ripe for Disruption (33:47) How Assembled Swaps Between OpenAI, Claude & Others (37:56) Evaluating LLMs with Golden Datasets and 'Vibe Checks' (41:20) Multilingual Support and the Challenge of Europe (45:11) Industry Focus vs. Complexity Focus (47:43) Voice AI: The Next Big Frontier? (50:18) The Truth About AI Replacing Jobs in Support (54:39) The Automation Paradox: Why Labor Isn’t Shrinking
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#275 Nandan Nayampally: How Baya Systems is Fixing the Biggest Bottleneck in AI Chips (Data Flow)
07/31/2025
#275 Nandan Nayampally: How Baya Systems is Fixing the Biggest Bottleneck in AI Chips (Data Flow)
What if the biggest challenge in AI isn't how fast chips can compute, but how quickly data can move? In this episode of Eye on AI, Nandan Nayampally, Chief Commercial Officer at Baya Systems, shares how the next era of computing is being shaped by smarter architecture, not just raw processing power. With experience leading teams at ARM, Amazon Alexa, and BrainChip, Nandan brings a rare perspective on how modern chip design is evolving. We dive into the world of chiplets, network-on-chip (NoC) technology, silicon photonics, and neuromorphic computing. Nandan explains why the traditional path of scaling transistors is no longer enough, and how Baya Systems is solving the real bottlenecks in AI hardware through efficient data movement and modular design. From punch cards to AGI, this conversation maps the full arc of computing innovation. If you want to understand how to build hardware for the future of AI, this episode is a must-listen. Subscribe to Eye on AI for more conversations on the future of artificial intelligence and system design. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Why AI’s Bottleneck Is Data Movement (01:26) Nandan’s Background and Semiconductor Career (03:06) What Baya Systems Does: Network-on-Chip + Software (08:40) A Brief History of Computing: From Punch Cards to AGI (11:47) Silicon Photonics and the Evolution of Data Transfer (20:04) How Baya Is Solving Real AI Hardware Challenges (22:13) Understanding CPUs, GPUs, and NPUs in AI Workloads (24:09) Building Efficient Chips: Cost, Speed, and Customization (27:17) Performance, Power, and Area (PPA) in Chip Design (30:55) Partnering to Build Next-Gen Photonic and Copper Systems (32:29) Why Moore’s Law Has Slowed and What Comes Next (34:49) Wafer-Scale vs Traditional Die: Where Baya Fits In (36:10) Chiplet Stacking and Composability Explained (39:44) The Future of On-Chip Networking (41:10) Neuromorphic Computing: Energy-Efficient AI (43:02) Edge AI, Small Models, and Structured State Spaces
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#274 Luke Behnke: Why Grammarly Is Going All In on AI Agents
07/28/2025
#274 Luke Behnke: Why Grammarly Is Going All In on AI Agents
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. Grammarly is no longer just a writing assistant. It's building an AI productivity platform that could rival Microsoft Copilot. In this episode, Luke Behnke, VP of Enterprise Product at Grammarly, shares how the company is moving beyond grammar correction into intelligent agents, enterprise workflows, and real-time AI tools. We dive into Grammarly’s new Authorship feature, why AI fluency is becoming essential at work, how Grammarly is integrating tools like Coda and Superhuman, and what the future of multi-agent systems looks like. If you're curious about where AI at work is really heading, this conversation will give you a clear and powerful glimpse. (00:00) Preview and Intro (03:37) Meet Luke Behnke(05:00) Grammarly's Origin Story and Early Vision(09:11) Grammarly’s UX Advantage(13:30) Competing With Microsoft Copilot and Built-In Assistants(17:48) What Is “Authorship” and Why It Matters(20:31) AI Detection vs Authorship Tracking(25:05) The Future of AI Transparency(27:43) Why AI Fluency Will Be a Job Requirement(32:04) Grammarly's Agentic Vision(34:11) The Rise of Context-Aware Enterprise Agents(38:24) Use Cases: Automating Tasks Across Tools with AI(40:21) The Coda Acquisition & Building the Agent Platform(44:48) The Future of Interoperable AI Agents(47:43) Why Agent Oversight Is Crucial in Enterprise AI(55:57) Measuring Grammarly’s ROI in the Enterprise
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