Members-only Case Studies Case study: Stability AI Somewhere between “this model will replace your entire workflow” and “this chatbot will become your best friend,” many teams are left wondering what’s real, what’s useful, and what’s just… very confident marketing. That’s where Stability AI stands out....
Members-only Agentic AI Unpacking the craft of an applied machine learning product manager Great ML models don’t guarantee great products. Applied ML PMs turn model performance into experiences users can trust, understand, and value....
Members-only Case Studies Case study: Open AI In Silicon Valley, OpenAI has built systems and infrastructure that allow experimentation to turn into durable engineering outcomes (not fragile prototypes held together by hope and a README), and the world can’t get enough…...
Members-only Case Studies Case study: Takeda Building AI in healthcare is hard enough without fighting your own data systems. In Boston, Takeda is tackling that problem head-on, creating a platform designed for scale, compliance, and real-world impact....
Members-only Case Studies Case study: Citi As global banking collides with AI at scale, Citi is quietly rebuilding its core from Austin. What’s emerging is a blueprint for how the next generation of finance gets engineered. Ready to join the future of global banking?...
Members-only Agentic AI AI hallucinations: Understanding why sometimes machines get it wrong Why AI systems hallucinate, what causes these failures in practice, and how teams can reduce the risk in production....
Members-only Agentic AI Why I’m (hopefully) never building another agent Practical lessons from building AI agents at scale, from tool design and evals to UX, rollout strategy, and what’s next....
Members-only Agentic AI Boston’s healthcare AI: Past changes and what’s next Boston’s healthcare AI ecosystem has moved from cautious pilots to real-world impact. Here’s what’s changed, and what comes next....
Members-only Agentic AI Austin’s AI & tech landscape: How it's evolved Silicon Valley still sits at the center of the AI conversation, not because it has a monopoly on ideas, but because so many of the forces shaping AI’s future collide here....
Members-only Agentic AI 40 companies shaping Silicon Valley’s AI landscape in 2026 Silicon Valley still sits at the center of the AI conversation, not because it has a monopoly on ideas, but because so many of the forces shaping AI’s future collide here....
Members-only Artificial Intelligence Reimagining UI/UX education for AI and neuroinclusion Design education must evolve beyond polished screens toward neuroinclusive cognition, AI-as-infrastructure, and uncertainty-aware governance....
Members-only Artificial Intelligence How UK AI expertise meets Saudi retail ambition The UK can unite its advanced AI expertise with its strict regulatory framework and its high-quality product development with the rapid expansion of Saudi retail operations....
Members-only LLMs Real-world LLMOps: Two case studies in healthcare AI deployment Two real-world healthcare LLMOps case studies: what worked, what broke, and the practical lessons for deploying LLMs safely in production....
Members-only Agentic AI AI agents struggle with “why” questions: a memory-based fix LLMs forget context and fail at “why” reasoning. MAGMA fixes this with multi-graph memory across time, causality, entities, and meaning....
Members-only Artificial Intelligence Fast-track product validation using AI A key challenge of product management is reducing the time between idea generation and gaining validation to move forward (or kill it)....