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 09, 2026

KDD '25 AI Reasoning Day keynote: Improving AI Reasoning through Intent, Interaction, and Inspection

A deep dive into practical strategies for improving AI reasoning in code and structured tasks. The talk covers capturing richer user intent through examples, enabling collaborative interaction, and using automated inspection for iterative refinement, illustrated with real-world applications from Microsoft.

Jan 08, 2026

The End of the Junior Data Engineer?

Matthew Glickman, CEO of Genesis Computing, discusses the rise of AI data agents designed to automate complex data engineering workflows. He covers the "last 10%" problem in enterprise AI, the unique value of targeting the data engineer persona, and how these agents can tackle challenges like legacy system migration and knowledge capture, ultimately giving valuable time back to data teams.

Jan 07, 2026

Building Agentic Tools for Production // Sam Partee

Sam Partee, CTO of Arcade AI, explains that building production-grade agentic systems requires moving beyond simple chatbots. He details the critical components for creating reliable, secure, and scalable tools, including rigorous schema management, the principle of least privilege, continuous evaluation, and a crucial distinction between 'exploratory' and 'operational' tools.

Dec 07, 2025

The 100-person lab that became Anthropic and Google's secret weapon | Edwin Chen (Surge AI)

Edwin Chen, founder and CEO of Surge AI, discusses his contrarian, bootstrapped approach to building a billion-dollar company, the critical role of high-quality data and 'taste' in training advanced AI models, the pitfalls of current benchmarks, and why Reinforcement Learning environments are the next frontier in AI.

Nov 24, 2025

Fully Connected 2025 kickoff: The rise (and the challenges) of the agentic era

Robin Bordoli of Weights & Biases explores AI's exponential growth, from past achievements to the current agentic landscape. He discusses the rise of reinforcement learning, the challenge of productionizing reliable agents, and highlights how foundational issues in AI development persist even as model capabilities soar.