Artificial intelligence

Developers spend most time understanding code, not building it. Katie McDonald explains agentic coding, legacy code modernization, and how AI accelerates software development workflows.

Ever watched a UFC fight and thought, “Wait—what just happened?” This episode of Smart Talks with IBM goes inside the Octagon with Alon Cohen, the tech leader behind UFC’s analytics, to show how AI helps uncover the moments that decide a fight.

How did search evolve into agentic AI? Sam Anthony explains RAG's evolution, from simple retrieval to adaptive systems powered by LLMs. Learn how semantic search, hybrid retrieval, and AI agents enable multi-step research, decision-making, and synthesis.

Right now, an AI agent is booking flights, writing code, and has no idea what it did five minutes ago. Bri Kopecki explains why AI agents need an operating system to manage memory, tools, identity, and guardrails. Learn how Agent OS infrastructure makes AI reliable and scalable.

Agentic AI failures aren’t random—they happen for clear, predictable reasons. Meenakshi Kodati explains the top failure modes in agentic AI systems, from infinite loops to hallucinated planning and unsafe tool use. Learn how better design, constraints, and monitoring improve reliability.