Ai trust

Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA

Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA

A panel with Vincent Weisser (Prime Intellect), Lucas Atkins (Arcee AI), and Chris Alexiuk (NVIDIA) on why open models matter for trust, control, cost predictability, and data ownership. The discussion covers the distinction between trust and safety, post-training open models for specific harnesses and use cases, the open MDW license, the Linux-like role of open infrastructure alongside closed models, and predictions for open model capabilities and local AI adoption over the next year.

Live from Think 2026: AI operating model, VC funding & CAIO evolution

Live from Think 2026: AI operating model, VC funding & CAIO evolution

Live from IBM Think 2026, experts discuss the maturation of enterprise AI, moving from siloed applications to integrated, end-to-end solutions. The panel explores the rising trust in AI for strategic decisions, the evolving role of the Chief AI Officer (CAIO), and the state of AI investment, arguing that the field is broadening to solve specific business problems.