Tokenless

Data sovereignty

Shipping AI Into 5 Major Banks Without a 12-Month Compliance Wait — Al Chen, Cisco

Shipping AI Into 5 Major Banks Without a 12-Month Compliance Wait — Al Chen, Cisco

Al Chen explains what it takes to get AI observability software through the security and compliance reviews of major banks. He covers build pipelines, agent-driven CVE remediation with verifiable exploit tests, ClickHouse backup and restore verification, PII and MNPI leakage through LLM judges, and the tradeoffs of zero leakage and data sovereignty, with an emphasis on showing evidence to shorten time to production.

AI Engineer Paris 2026 Opening Keynotes: Mistral, Langfuse & Sizzy | Day 1

AI Engineer Paris 2026 Opening Keynotes: Mistral, Langfuse & Sizzy | Day 1

The AI Engineer Paris 2026 main stage featured discussions on the historical impact of AI as a general-purpose technology, the evolving landscape of AI engineering towards sophisticated "software factories," and Mistral AI's strategic vision for building frontier AI, ensuring agentic safety, and addressing data sovereignty through advanced models and infrastructure.

IBM’s cloud collab, Meta’s Muse Glimmer & OpenAI’s upcoming Astra model

IBM’s cloud collab, Meta’s Muse Glimmer & OpenAI’s upcoming Astra model

This episode explores IBM's massive AI infrastructure partnership with Together AI and NVIDIA, Meta's open-source Muse Glimmer model enabling powerful on-device AI, and OpenAI's delayed Astra model due to critical cybersecurity capabilities. Discussions cover the economics of industrial-scale AI, the implications of local vs. cloud AI, and the profound security challenges and opportunities presented by both open and closed frontier models.

State of the Union: Why Local, Why Now — NVIDIA, Osmantic, Roboflow, EXO Labs, @matthew_berman

State of the Union: Why Local, Why Now — NVIDIA, Osmantic, Roboflow, EXO Labs, @matthew_berman

This panel discussion explores the inflection point of Local AI, driven by advanced models, improved hardware, and a robust ecosystem. Experts discuss how this shift addresses critical concerns around privacy, cost, sovereignty, and resilience, emphasizing the pivotal role of open-source AI and specialized models. They delve into technical optimizations, the evolution from generalized to specialized AI, and the challenges of making local AI accessible and performant for both enterprise and individual users.

Why Open Models Will Beat GPT and Claude

Why Open Models Will Beat GPT and Claude

This episode explores the strategic shift of enterprises towards open AI models driven by cost and data sovereignty, highlighting the evolving tooling and hybrid deployment strategies. It also delves into the "attenuation funnel" phenomenon, where increased code generation by AI tools doesn't proportionally translate to shipped software or end-user value, and introduces "neo-consulting"—a new business model challenging traditional consulting with outcomes-based pricing and AI-focused expertise.