Jan 12, 2026

9 Lessons Learned from Deploying GenAI at Scale • Garth Gilmour & Stuart Greenlees • GOTO 2025

Drawing from their experience at Liberty Mutual, a Fortune 100 company, Garth Gilmour and Stuart Greenlees share nine hard-won lessons from deploying Generative AI for 5,000 developers. This "from the trenches" talk moves beyond the hype to discuss the real-world challenges of scaling AI, including managing spiraling costs, the complexities of RAG, the difference between shipping and adoption, and the necessity of building a governed platform. They detail their mistakes, solutions, and the evolution of their strategy for architecture, developer education, and model management.

Jan 12, 2026

MCP Security: What Happens When Your Agents Talk to Everything?

A deep dive into the security vulnerabilities of Multi-Context Protocol (MCP) for AI agents. The talk explores how identity loss, "all-or-nothing" permissions, and disappearing audit trails create significant attack surfaces, and presents solutions like identity chain tracking, context-aware permissions, and intelligent auditing to secure agent-to-tool communication.

Jan 12, 2026

Multi-Agent Systems for the Misinformation Lifecycle

A detailed overview of a modular, five-agent system designed to combat the entire lifecycle of digital misinformation. Based on an ICWSM research paper, this practitioner's guide details the roles of the Classifier, Indexer, Extractor, Corrector, and Verifier agents. The system emphasizes scalability, explainability, and high precision, moving beyond the limitations of single-LLM solutions. The talk covers the complete blueprint, from agent coordination and MLOps to holistic evaluation and optimization strategies for production environments.

Jan 12, 2026

Real-Time Voice Agents in Production

Panos Stravopodis, CTO of Elyos AI, shares the infrastructure and orchestration challenges of building production-ready voice AI agents. He details the four pillars for success—latency, consistency, context, and recovery—and provides engineering patterns for error handling, context management, and achieving conversational coherence in real-time systems.

Jan 11, 2026

What OpenAI & Google engineers learned deploying 50+ AI products in production

Aishwarya Naresh Reganti and Kiriti Badam, with experience from OpenAI, Google, and Amazon, share a framework for building successful enterprise AI products. They detail why AI development differs from traditional software, emphasizing the challenges of non-determinism and the agency-control trade-off, and introduce their 'Continuous Calibration, Continuous Development' (CC/CD) lifecycle to build reliable, value-driven AI systems.

Jan 10, 2026

Humanoid Robots: Hype vs. Reality

A deep dive into the key takeaways from CES 2026, covering the surge in humanoid robotics and the evolution of software-defined vehicles, followed by a nuanced analysis of the shifting US-China export controls on advanced AI chips.