Eye On A.I.

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:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (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

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.

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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

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. 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: https://www.coderabbit.ai/

Stay Updated: Craig Smith on X:https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (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

Discover how Sema4.ai 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: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (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

Enterprise AI Agents for Work, Service and Process: www.kore.ai Kore.ai 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:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

(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

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: https://www.abstract.us

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.

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(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

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.

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AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ 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.

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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 https://www.extremenetworks.com/ 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.

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(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