The Bay Area builds more AI than anywhere else on earth. But the leaders deploying it inside enterprises face the same friction as everyone else: fragmented data, unclear governance, and a gap between what AI can do in a demo and what it does in production.
San Francisco sits at the centre of AI development, but proximity to innovation does not make enterprise adoption any easier. The infrastructure decisions, data architecture trade-offs, and organisational changes required to move AI from prototype to production are the same whether you are a mile from the frontier labs or a thousand.
This evening brings together senior technology leaders in the Bay Area for an honest conversation about what is actually working, what is not, and what the next twelve months demand.
Welcome and networking from six, introductions at half past, then the conversation over dinner.
What infrastructure decisions made in the last two years are you most likely to revisit?
How do you evaluate build versus buy when the landscape shifts every quarter?
Where is the real bottleneck in enterprise AI: data, talent, architecture, or organisational willingness?
What does a realistic AI roadmap look like when the technology itself is a moving target?
VP and above, all of it operating rather than advisory.
Peer-led. A host opens, then the table takes it.
None. Partners attend as participants, not as vendors.
Included, and unhurried. The evening is built around the table.
Rooms are built around a question rather than a calendar. Join the community and we will tell you about the ones that match your work before they are public.