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)....
Members-only Artificial Intelligence A new framework for keeping AI accountable A new accountability framework treats AI responsibility as a continuous control problem, embedding values into systems and monitoring harm over time....
Members-only Agentic AI Beyond chatbots: How to build agentic AI systems AI is moving from chatbots to agents: systems that plan, use tools, and act autonomously. Why 2025 marks the real inflection point....
Members-only Agentic AI Building enterprise AI agents: Frontline lessons with TrueFoundry Lessons from enterprise teams working with TrueFoundry on what it really takes to deploy agentic AI at scale....
Members-only Agentic AI AIAI London Stream every session from AIAI London, with sessions from OpenAI, Synthesia, Wayve, Databricks, Financial Times, BBC and more....
Members-only Artificial Intelligence The hidden risk of one-size-fits-all AI advice AI advice can be rated “safe” yet still harm vulnerable users. New research reveals why context, not benchmarks, defines real AI safety....
Members-only Agentic AI How to turn shadow AI into a safe agentic workforce: Lessons from Barndoor AI Enterprises struggle with AI not from a lack of capability, but from missing control, visibility, and trust. Barndoor aims to close that gap....
Members-only Agentic AI Forking data for AI agents: The missing primitive for safe, scalable systems Agent failures stem from inconsistent state. Tigris delivers immutable storage, snapshots, and forks for deterministic, reproducible AI workflows....
Members-only Agentic AI Building your agentic stack: A roadmap to real integration Building an agentic AI stack is chaotic, but strong architecture and data foundations stay constant. Here’s what truly matters for long-term success....
Members-only AIAI AIAI Toronto, 2025 Stream every session from AIAI Toronto, with sessions from OpenAI, Nvidia, BMO Financial Group, Meta and more....
Members-only ChatGPT When GPT-5 thinks like a scientist GPT-5 is transforming research with novel insights, deep literature search, and human-AI collaboration that accelerates scientific breakthroughs....
Members-only Case Studies Case Study: Loveable Loveable, the Stockholm-based "vibe coding" platform, is demonstrating that Europe is still a prime incubator for global AI unicorns....
Members-only AI in industry The role of AI in modern marketing: Personalization at scale See how AI enables hyper-personalized marketing at scale and what businesses can learn from industry leaders shaping the future....
