Jun 10, 2026

Sovereign Escape Velocity: Ownership w Open Models — Gus Martins, & Ian Ballantyne, Google DeepMind

Google DeepMind's Ian Ballantyne and Gus Martins introduce Gemma 4, a family of open models delivering state-of-the-art performance with remarkable size efficiency. They discuss how models like the 31B variant outperform competitors 2-20x its size while running on a single GPU, the shift to an Apache 2.0 license to foster sovereignty and adoption, and the new economics of running powerful agentic workloads on hardware ranging from a Pixel phone to a single enterprise GPU.

May 19, 2026

What Breaks When You Build AI Under Sovereignty Constraints - Bilge Yücel, deepset GmbH

Bilge Yücel explains that true AI sovereignty is a technical challenge, not just a policy issue, built on four pillars: data, model, infrastructure, and operations. This talk explores the common pitfalls of retrofitting sovereignty—from performance regressions after swapping models to discovering deep vendor lock-in when moving on-prem—and presents a checklist for building genuinely sovereign systems.

Apr 20, 2026

Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind

A deep dive into Google DeepMind's Gemma 4, the latest family of open models. This summary covers the new model architectures like per-layer embeddings, on-device agentic capabilities, multimodal features, and the growing ecosystem of fine-tuned applications from medicine to sovereign AI.

Mar 24, 2026

AI Models as a Service: Powering Agentic AI, Privacy, & RAG

Cedric Clyburn explains the Models-as-a-Service (MaaS) pattern, detailing how organizations can build their own private AI infrastructure to deploy models like LLMs securely and at scale. He covers the benefits over public APIs, including cost control, data sovereignty, and lifecycle management, and outlines a technical architecture using Kubernetes, API gateways, and observability tools.

Dec 30, 2025

953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI— with Dell’s Global CTO John Roese

John Roese, Dell's Global CTO, discusses the "agent-washing" phenomenon and how Dell achieved a $10 billion revenue boost while cutting costs through disciplined AI adoption. He introduces the concept of the "knowledge layer" as a crucial new component in AI architecture and details his 2026 predictions. These include a focus on governance, a four-part technical definition for agentic AI systems, the need for modern resiliency in AI factories, and the maturation of sovereign AI strategies.

Nov 12, 2025

Satya Nadella – How Microsoft is preparing for AGI

Satya Nadella discusses Microsoft's massive AI infrastructure build-out, the transition to AI-driven business models, and the company's multi-pronged strategy for navigating competition, in-house model development, and the geopolitical landscape of AGI.