This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ 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.

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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.

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(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