


AI can help assess unusual payments, answer routine questions and extract document details. Its value depends on accuracy, useful support and clear responsibility.

MIT is developing a public transit AI platform with $2.1 million from Google.org. The goal: help staff handle disruptions and inform passengers.

On 3 October in Cadenazzo, explore AI, robotics, biotechnology and space, followed by audience questions and brunch. Free admission with registration.

NVIDIA’s AI agent safety platform highlights a practical business question: what can AI access, what can it do, and when must a person approve?

TypeSafe’s Jev brings structured AI decisions into software. Explore customer-request routing, confidence estimates and the limits of automation.

Meta is bringing Muse to AI glasses. Explore the potential for hands-free assistance, practical workplace uses and clear privacy boundaries.

Pony.ai and GAC’s electric robotruck illustrates physical AI: sensing the road, planning movement and controlling a vehicle within defined limits.

Meta Muse brings personal AI agents into everyday tasks. A practical guide to delegation, permissions and knowing when an agent should ask first.

When AI flags lower output, the explanation matters. A practical framework for checking factory data before making decisions about people.
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A turnkey engagement: two sessions and an independent analysis. No obligation to continue. Just clarity.