Sun, Nov 15 · 1:30 PM GMT
### At The Table
A small gathering for women in Data, AI & beyond
At The Table is an intimate lunch for women working across data, AI, governance, risk, technology, transformation, policy and related fields.
This is deliberately small.
Just six women around one table, including the host.
The aim is to create the kind of conversation that rarely happens at larger networking events, where there is time to hear what people are working on, exchange ideas properly and build relationships that feel natural rather than transactional.
We’ll meet somewhere lovely in London for lunch, good conversation and a relaxed afternoon with women whose work sits somewhere around data, AI and the decisions being shaped by them.
There are no panels, presentations or pitches.
No speed networking.
No pressure to “work the room”.
Just one table, a thoughtfully selected group and enough time to actually get to know the people sitting beside you.
### Who is it for?
Women working across areas such as data, AI, governance, risk, compliance, technology, digital transformation, cybersecurity, policy, research, consulting and adjacent fields.
You do not need to have “AI” or “data” in your job title. What matters more is that your work, interests or expertise meaningfully touch this space.
### What to expect
Each table is limited to five guest places . That is intentional.
Keeping the group small allows everyone to take part in the conversation and means the afternoon feels much closer to being invited to a good lunch than attending another professional event.
Expect a polished but relaxed setting, intelligent conversation and a mix of professional and personal discussion.
Come curious.
Come as yourself.
And come ready to meet women you might genuinely want to know beyond one afternoon.
### The details
Group size: 6 women, including the host
Format: Lunch
Location: London
Duration: Approximately 2–2.5 hours
Food and drinks: Guests purchase their own food and drinks directly from the restaurant
Places are intentionally limited.