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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#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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#273 Benjamin Encz: How Ashby is Building the Future of Hiring with AI
07/24/2025
#273 Benjamin Encz: How Ashby is Building the Future of Hiring with AI
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. In this episode, Craig Smith sits down with Benjamin Encz, co-founder and CEO of Ashby, the AI-powered recruiting platform that is transforming how companies hire. Ashby is disrupting the $650B recruiting industry by combining automation, data, and large language models to streamline the entire hiring process, from job postings to resume screening and interview scheduling. With clients like OpenAI and Shopify, Ashby is setting a new standard for modern recruiting. Benji shares how AI is boosting efficiency while keeping human judgment at the center, and what the future of hiring could look like as these tools continue to evolve. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#272 Andrew Blum: Inside The Most Important AI Event Of The Year (HumanX)
07/20/2025
#272 Andrew Blum: Inside The Most Important AI Event Of The Year (HumanX)
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. What if the most important AI conference in the world wasn’t built by academics or hype merchants, but by operators who actually understand what businesses need? In this episode, Craig sits down with Andrew Blum, Co-Founder and COO of HumanX, the breakout AI conference that has quickly become the go-to gathering for enterprise leaders, AI builders, and government policymakers. Andrew shares the inside story of how HumanX went from an idea born in a VC incubator to hosting 3,300+ attendees, 350 speakers, and leaders from OpenAI, Anthropic, Mistral, Snowflake, and more, all within 18 months. You’ll hear how HumanX is different from other conferences, why face-to-face connection matters more than ever, and how HumanX is creating the bridge between AI innovation and real-world business transformation. This is a behind-the-scenes look you won’t want to miss. Like and subscribe for more! Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#271 Steve Lucas: Why AI Agents Will Automate 75% of Business Operations by 2026
07/17/2025
#271 Steve Lucas: Why AI Agents Will Automate 75% of Business Operations by 2026
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. Try OCI for free at What if the future of enterprise wasn’t human-driven, but agent-driven? In this groundbreaking episode, Steve Lucas, CEO of Boomi, unveils a radical vision for the next era of business: one where AI agents will power 75% of enterprise operations by 2026. From eliminating traditional user interfaces to transforming legacy systems with no-code automation, Steve walks us through how Boomi is building the infrastructure for a self-driving enterprise, and why businesses that fail to prepare will be left behind. This episode will shift your perspective on where the enterprise is headed and who (or what) will be running it. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#270 Thomas Dohmke: GitHub CEO Reveals How AI Will Change Coding Forever
07/15/2025
#270 Thomas Dohmke: GitHub CEO Reveals How AI Will Change Coding Forever
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. In this episode, GitHub CEO Thomas Dohmke joins us for a deep dive into the evolution of software development — from decentralized version control to the rise of AI coding agents. With over 150 million developers on GitHub and tools like Copilot rewriting the rules of software engineering, we explore what it really means to build in an AI-native future. Thomas shares the origin story of Copilot, how GitHub is shifting from human-to-human to human-to-agent collaboration, and why he believes natural language is becoming the universal programming language. We also cover the technical architecture behind Coding Agents, the feedback loop between developers and AI, and what it takes to scale multi-agent systems in the real world. Like and subscribe for more! Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) The Future of AI-Powered Coding (02:04) Thomas Dohmke’s Journey (05:16) GitHub’s Origin Story & Evolution (08:45) Life Before GitHub: Early Version Control Systems (10:40) What is Git? And Why GitHub Matters (12:36) The Birth of GitHub Copilot (16:17) The Rise of AI Agents (17:52) How Kids Are Learning to Code with Copilot (22:38) Can Non-Coders Use Copilot Agents Effectively? (26:01) What the Coding Agent Actually Does Behind the Scenes (31:30) The Models Behind GitHub Copilot & Developer Choice (35:22) How Much Code Is Now Written by AI? (38:51) GitHub’s Innovation Strategy (41:54) What’s Next for GitHub (45:24) From 150M to 1B Developers: Empowering the World to Build (47:51) GitHub Universe & Galaxy Events (49:53) GitHub’s Innovation Graph and the Power of Open Collaboration
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#269 Jason Hardy: How Hitachi Vantara Is Powering the Future of Enterprise AI
07/11/2025
#269 Jason Hardy: How Hitachi Vantara Is Powering the Future of Enterprise AI
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. In this episode of Eye on AI, Craig Smith sits down with Jason Hardy, Chief Technology Officer for AI at Hitachi Vantara, to explore what it really takes to deploy AI at scale in the enterprise, beyond the hype. Jason shares how Hitachi is building a pragmatic, outcomes-driven AI platform through Hitachi iQ. From working with NVIDIA to integrating agentic AI into operations, this conversation unpacks the infrastructure, mindset, and strategies needed to move AI projects from experimentation to production. Whether you're navigating AI adoption, battling with data readiness, or looking to build your own LLM-powered applications, this episode offers invaluable insights from a company that's actually doing it globally, sustainably, and at scale. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Preview (02:10) The Role of CTO for AI at Hitachi Vantara (05:38) Applying AI Across Manufacturing, Energy & Transport (09:54) What Is Pragmatic AI? (13:21) Infrastructure Demands of Generative AI (14:47) Why Most AI Projects Fail (20:25) Inside the Hitachi iQ Platform & NVIDIA Partnership (25:42) Building a Model-Agnostic, Hybrid AI Stack (32:08) Beyond Selling GPUs: Delivering Real AI Outcomes (38:09) Supporting Hybrid Deployments Across Cloud and On-Prem (42:02) Rethinking ROI: Failure as a Strategic Advantage (47:44) Agentic AI and the Future of Autonomous IT Workflows (49:37) Five Core Domains of Agentic AI at Hitachi (53:02) Making AI Infrastructure Sustainable (56:48) Hitachi's Vision for the Future of Enterprise AI
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#268 Kiren Sekar: The Future of Physical Operations Is AI-Powered (Here's Why)
07/06/2025
#268 Kiren Sekar: The Future of Physical Operations Is AI-Powered (Here's Why)
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. How AI Is Transforming the Physical World | Samsara’s Vision for the Future of Operations In this episode of Eye on AI, Craig Smith sits down with Kiren Sekar, Chief Product Officer at Samsara, to explore how AI, edge computing, and IoT are revolutionizing the world of physical operations - from fleets and factories to farms and field teams. Samsara has quietly become the digital backbone for thousands of frontline businesses, collecting trillions of data points across vehicles, tools, and teams. Kiren explains how they’re building AI-powered systems that don’t just collect data, they deliver real-time safety alerts, optimize routes, track fuel efficiency, and even coach drivers automatically. Whether you work in tech, operations, or AI, this episode shows how AI is finally meeting the real world. Check our Samsara, AI Build for Physical Operations: Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Preview (02:01) Kiren Sekar’s Background and Why Samsara Was Founded (06:38) The Real-World Impact of Samsara’s AI Systems (09:04) What Changed After Samsara Went Public (11:09) How Samsara Gives Businesses Visibility Into Operations (13:08) The Hardware and Cellular Network Powering Samsara (14:13) AI to Detect Driving Risks (23:13) Tracking Every Asset: From Cranes to Toolkits (25:20) Why Even Mid-Sized Companies Can Use Samsara Easily (27:25) Regional Dashboards and AI Insights for Executives (29:57) How Samsara Decides Where to Apply AI (32:54) Can AI Read Handwritten Forms? (35:31) The AI Models Samsara Uses (39:21) What Samsara Processes at the Edge vs in the Cloud (43:00) Why Samsara Keeps Its R&D Team Small and Fast (46:35) Why Legacy Industries Are Finally Adopting AI (49:12) What Agentic AI Workflows Look Like at Samsara (54:53) What’s Next: AI Voice Assistants for Field Worker
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#267 Nabil Bukhari: Exploring the Future of AI-Powered Enterprise Networking with Extreme Networks
07/02/2025
#267 Nabil Bukhari: Exploring the Future of AI-Powered Enterprise Networking with Extreme Networks
What does the future of enterprise networking really look like? In this episode, Extreme Networks’ Chief Product & Technology Officer Nabil Bukhari joins Craig to explore how AI, autonomous agents, and platform thinking are transforming the core infrastructure of modern businesses. From managing mission-critical networks to building agentic systems that collaborate, troubleshoot, and scale autonomously - this is a deep dive into how connectivity is being redefined from the ground up. Whether you’re a tech leader, CIO, product builder, or simply curious about how infrastructure evolves, this conversation reveals where the enterprise is headed next. Check out Extreme Networks: Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Preview (01:02) Introducing Nabil Bukhari & Extreme Networks (05:24) Why Global Connectivity Is Still Accelerating (07:54) How Enterprise Data Flows Across Modern Networks (12:34) Networking for AI vs. Built-in AI (14:12) Platform One & Agentic AI Systems Explained (21:20) Human-in-the-Loop, Over-the-Loop, and Above-the-Loop (23:35) Why AI Guardrails Must Be Baked into the Architecture (27:33) Introducing the ARC Framework (31:15) Persona-Based Interfaces for NetOps, CFOs & CMOs (33:25) The Problem with Chatbots (36:06) Enterprise vs. Public Networks (38:38) Global Connectivity Infrastructure & Use Case Variability (44:29) How Secure and Resilient Are Enterprise Networks? (52:24) In-House AI for Critical Infrastructure
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#266 Andy Kurtzig: How Pearl Uses AI + Human Experts In Professional Services
06/29/2025
#266 Andy Kurtzig: How Pearl Uses AI + Human Experts In Professional Services
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. What if AI could actually be trusted in healthcare, law, or even car repair? In this episode, Andy Kurtzig, founder and CEO of Pearl (formerly JustAnswer), reveals how his platform is solving the biggest problems in AI: hallucinations, liability, and monetization. Pearl blends large language models with real human experts across 700+ categories—so users get AI speed and human-verified accuracy. Whether you're a doctor, mechanic, or just someone with a question, Pearl offers fast, affordable, and expert-backed answers—without the risk of misinformation. If you’re building in AI, working in a regulated industry, or just curious about the future of trusted automation—this episode is for you. Check out Pearl, AI Enhanced Human Expertise: Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Introduction (03:20) Why Pearl Focuses on High-Stakes Industries (06:10) How Pearl Reduces AI Hallucinations with Human Trust Scores (10:11) Pearl.com’s Ideal Customers (14:14) Solving AI Liability with Platform Protection (23:27) The Three Big Problems in AI: Risk, Quality, and Monetization (29:00) Why Human-in-the-Loop Is the Future of AI (33:26) Pearl’s API: Bringing Verified Experts to Any App (39:27) Building Trust in AI Through Human Validation (41:03) The Road Ahead for Pearl and Human-Centered AI
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#265 Jeff Lu: How Akool Uses Gen AI to Make Live AI Avatars & Voices
06/27/2025
#265 Jeff Lu: How Akool Uses Gen AI to Make Live AI Avatars & Voices
What if you could translate any video into any language—instantly—and make it look like the speaker was really speaking it? In this episode of Eye on AI, host Craig Smith sits down with Jeff Liu, founder and CEO of Akool, to explore how AI avatars and real-time video translation are eliminating global language barriers. With a background at Apple, Google, and Stanford, Jeff is leading Akool to the frontier of generative AI: cloning faces, voices, and emotions in live video streams. We dive into the technical architecture behind Akool’s real-time avatars, the role of large language models in translation latency, and what the future looks like when the need to "learn languages" may disappear. Whether you're a content creator, marketer, technologist, or just curious about what’s next in AI and communication, this episode is a must-listen. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Creating Digital Clones with AI (01:20) Jeff Liu’s Journey from Big Tech to Startup Founder (02:54) What Akool Does and Who It's For (07:11) Inside the Live AI Avatar Suite (10:32) How Akool Powers Real-Time AI Avatars (16:05) Solving Language Translation with Avatars (21:40) Translating YouTube Videos with One Click (28:36) The Technology Behind Real-Time Translation (33:22) Competing with Tech Giants Like Google (36:26) Akool's Vision (39:36) Avatar Types: Instant, Studio, and Ultra explained (43:39) Building Emotional Nuance into Voice and Video
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#264 Amr Awadallah: Vectara’s Mission To Make AI Hallucination-Free & Enterprise Ready
06/22/2025
#264 Amr Awadallah: Vectara’s Mission To Make AI Hallucination-Free & Enterprise Ready
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. What’s stopping large language models from being truly enterprise-ready? In this episode, Vectara CEO and co-founder Amr Awadallah breaks down how his team is solving one of AI’s biggest problems: hallucinations. From his early work at Yahoo and Cloudera to building Vectara, Amr shares his mission to make AI accurate, secure, and explainable. He dives deep into why RAG (Retrieval-Augmented Generation) is essential, how Vectara detects hallucinations in real-time, and why trust and transparency are non-negotiable for AI in business. Whether you're a developer, founder, or enterprise leader, this conversation sheds light on the future of safe, reliable, and production-ready AI. Don’t miss this if you want to understand how AI will really be used at scale. Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#263 Jarek Kutylowski: How DeepL Is Using AI to Break Language Barriers
06/18/2025
#263 Jarek Kutylowski: How DeepL Is Using AI to Break Language Barriers
What if language was no longer a barrier to global business? In this episode, DeepL CEO Jarek Kutylowski joins Craig Smith to unpack how AI-powered translation is reshaping the way companies communicate across borders. From real-time speech tools to enterprise-grade language workflows, Jarek shares DeepL’s journey, the tech behind their LLMs, and why accuracy, nuance, and localization matter more than ever. If you're building for a global audience, this conversation is a must-listen. About Jarek: Dr. Jaroslaw “Jarek” Kutylowski is the founder and CEO of DeepL, the Cologne-based Language AI company transforming global communication and breaking down language barriers for businesses worldwide. Born in Poland and having spent a large part of his life in Germany, Jarek brings an international perspective and a lifelong passion for technology - a developer at heart, he began coding at just 10 years old, building tools he found useful in daily life. He holds a PhD in Computer Science with a focus on mathematics and has held roles at several tech companies prior to founding DeepL. Under his leadership, DeepL has grown rapidly, expanding its Language AI platform to offer highly accurate and nuanced human-like translation in both written and spoken formats, as well as a contextual AI writing assistant. Today, over 200,000 businesses and governments - and millions of individuals across 228 global markets - trust DeepL for secure, seamless and effective communication. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Introduction to DeepL and Jarek’s Vision (05:09) DeepL’s Technology Evolution (08:17) The DeepL Platform: Products, APIs, and Enterprise Use Cases (12:39) Why DeepL Outperforms Consumer Tools (15:14) How Enterprises Use DeepL (17:05) DeepL’s Translation Accuracy (21:20) Breaking Language Barriers in Global Workforces (23:46) A Future Without Language Barriers (27:19) Expanding Language Coverage and Industry Verticals (31:44) DeepL’s Role in High-Compliance Sectors (34:04) Tackling Latency and Real-Time Use Cases (38:38) DeepL as the Translation Engine Behind Other Products (42:40) Partnering with News Media and Government (45:40) Pricing Models and Accessibility (46:24) The Human Impact of AI-Powered Language Tools (49:22) What’s Next for DeepL and Global Communication
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#262 Deepak Chopra: How to Use AI to Expand Human Consciousness
06/15/2025
#262 Deepak Chopra: How to Use AI to Expand Human Consciousness
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. Can AI expand human consciousness? Or is it just a simulation of wisdom? In this mind-bending episode of Eye on AI, host Craig Smith sits down with world-renowned spiritual teacher and author Deepak Chopra to explore the future of Artificial Intelligence, consciousness, health, and spiritual awakening. Deepak unpacks the ideas behind his latest book, Digital Dharma, and shares how his team built a small language model—DeepakChopra.ai—designed to serve as a digital health and spiritual guide. Together, they dive deep into quantum theory, the illusion of the physical world, and why consciousness is not something AI can ever possess—but it can help us reach it. Whether you're an AI enthusiast, a spiritual seeker, or simply curious about the future of human evolution, this episode will challenge your assumptions and expand your perspective. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Why Deepak Chopra Is Entering the AI Space (04:05) The Promise and Peril of the AI Revolution (09:47) How Deepak Chopra Built His Own AI Model (13:58) Is AI the Future of Human Evolution? (15:39) How the AI Landscape Has Evolved Over Time (21:22) AI in Preventative Healthcare (24:49) Key Insights from “Digital Dharma” (25:40) Using Prompt Engineering for Inner Growth (38:28) Exploring Human Potential Through AI (43:16) Can AI Understand Human Emotions? (47:00) Spiritual Awakening in the Age of AI (50:54) The Future of AI and Consciousness
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#261 Jonathan Frankle: How Databricks is Disrupting AI Model Training
06/12/2025
#261 Jonathan Frankle: How Databricks is Disrupting AI Model Training
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. Try OCI for free at What if you could fine-tune an AI model without any labeled data—and still outperform traditional training methods? In this episode of Eye on AI, we sit down with Jonathan Frankle, Chief Scientist at Databricks and co-founder of MosaicML, to explore TAO (Test-time Adaptive Optimization)—Databricks’ breakthrough tuning method that’s transforming how enterprises build and scale large language models (LLMs). Jonathan explains how TAO uses reinforcement learning and synthetic data to train models without the need for expensive, time-consuming annotation. We dive into how TAO compares to supervised fine-tuning, why Databricks built their own reward model (DBRM), and how this system allows for continual improvement, lower inference costs, and faster enterprise AI deployment. Whether you're an AI researcher, enterprise leader, or someone curious about the future of model customization, this episode will change how you think about training and deploying AI. Explore the latest breakthroughs in data and AI from Databricks: Stay Updated: Craig Smith on X: Eye on A.I. on X:
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#260 Ash Anwar: How Molecular You Uses AI for Early Disease Detection
06/09/2025
#260 Ash Anwar: How Molecular You Uses AI for Early Disease Detection
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. What if your blood could reveal the future of your health - years before symptoms ever appear? In this episode of Eye on AI, Craig Smith sits down with Ash Anwar, co-founder of Molecular You, to explore how AI and advanced biomarker analysis are transforming how we detect and prevent disease. From a real-life case where stage 1 pancreatic cancer was caught early, to the science behind tracking 250+ dynamic biomarkers, Ash breaks down how Molecular You is shifting healthcare from reactive treatment to proactive longevity. They dive into the limitations of genetic testing, the power of machine learning models trained on clinical data, and how personalized action plans are helping individuals take control of their health in real time. If you're curious about the intersection of AI, diagnostics, and the future of preventive medicine—this is a conversation you won't want to miss. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) How AI Can Predict Disease Before It Happens (02:02) Meet Ash Anwar: From Scientist to Health Tech Leader (06:31) What Is Molecular You and How It Works (09:43) Why Biomarker Tracking Over Time Is a Game-Changer (15:46) How Molecular You Detected Stage 1 Pancreatic Cancer (23:15) Biomarkers vs Genetics: What Really Matters (28:11) The AI Models Behind Early Disease Detection (32:37) How the Product Works for Clinics and Consumers (35:05) Who They Compete With and What Makes Them Different (37:34) Research vs Product: The Cancer Risk Challenge (43:43) How Often Should You Get Tested?
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#259 Anjney Midha: a16z’s Strategy to Turn AI Startups into Unicorns
06/02/2025
#259 Anjney Midha: a16z’s Strategy to Turn AI Startups into Unicorns
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit and add your support. What does it really take to turn cutting-edge AI research into a successful foundation model company? In this episode of Eye on AI, we sit down with Anjney Midha, General Partner at a16z, to unpack how he helps scientists and researchers transform their breakthroughs into scalable, real-world AI businesses. From his early backing of Anthropic to launching Mistral and Black Forest Labs, Anjney shares a behind-the-scenes look at how AI infrastructure companies are born. We dive into the critical challenges of model reliability, evaluation beyond academic benchmarks, and the rise of hybrid architectures combining transformers with diffusion and LSTMs. If you're building in AI or investing in it, this is the roadmap to what's next. Stay Updated: Craig Smith on X: Eye on A.I. on X: (00:00) Turning AI Research into Real Companies (02:08) Anjney’s Journey into Venture Capital (05:44) The Birth of Anthropic (08:26) Backing Mistral and Stable Diffusion (13:16) Are Transformers Really Enough? (18:36) Why AI Evaluation Is Broken (22:10) Making AI Models More Interpretable (28:38) The Real Potential of AI Agents (32:43) How a16z Spots AI Breakthroughs (37:45) Investing Like It’s the 1970s (43:31) What AI Voice Tech Needs Right Now (46:32) Models vs Products (51:17) What’s Holding Back AI Agents (55:41) Anjney Startup Investing Strategy
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