AI Pilot to Production Roundtable

Roundtable Overview

Many banks are running more AI pilots than they can deploy. The failure points are consistent: data pipelines that work in development break in production, IT risk and change management frameworks that add months to deployment timelines, and model validation processes that were never designed for ML workflows. The result is a growing gap between AI investment and AI output — and boards are starting to ask why. This roundtable brings together heads of data science and AI engineering to examine where the deployment bottlenecks actually sit, what infrastructure and process decisions are making the difference, and what banks that are shipping models at scale have changed to get there.

Closed-Door Discussion

Chatham House Rule

Peer-Driven

Pitch-Free

Discussion Points

How banks are redesigning model validation processes that were built for traditional risk models and are now blocking ML deployment timelines?

How banks are deciding between a centralised ML platform that standardises deployment and team-embedded tooling that moves faster but fragments the infrastructure?

How banks are answering board questions on AI ROI when the delivery gap between pilot and production is where most of the investment quietly disappears?

Agenda

1815 - 1900

Arrival and Networking
Guests arrive and are welcomed into an informal reception ahead of the evening's discussion. An opportunity to meet fellow attendees and build connections before the roundtable gets underway.

1900 - 2000

Roundtable Discussion and Drinks
The group moves to a seated, moderated discussion guided by a structured agenda. An open, candid conversation among peers on the evening's core themes, with room for debate and different perspectives.

2000 - 2115

Three-Course Dinner
A private dinner in an elegant setting, where conversation continues in a more relaxed environment. An opportunity to deepen connections and continue the themes of the evening over fine cuisine.

2115 - 2200

Wrap Up, Q&A and Closing DrinksThe moderator draws out key takeaways and opens the floor for final questions and reflections. The evening closes with informal drinks, allowing attendees to continue conversations and explore next steps.

Who Will Attend

Head of Data Science · Head of AI Engineering · Head of ML Platform · Head of AI / ML Infrastructure · Chief Data Officer · Head of Data & Analytics

Apply to Attend

This is an invitation-only event with limited seating. Attendance is subject to approval to ensure a senior and relevant group. Please apply below. Further details will be shared upon confirmation.