

Getting AI Out of the Lab and Into Production
SYNOPSIS:
Many banks are running more AI pilots than they can deploy. The gap between development and production arises from data pipelines that fail in live environments, IT risk and change management frameworks that slow deployment, and model validation processes that were never designed for machine learning workflows. Boards are beginning to question why AI investments are not translating into results.
This invitation-only roundtable brings together heads of data science and AI engineering to examine where deployment bottlenecks occur, which infrastructure and process decisions make the difference, and how banks that are successfully shipping models at scale are achieving it.
Attendees can expect:
Insights on redesigning model validation for machine learning to accelerate deployment
Discussion on centralised ML platforms versus team-embedded tooling and the trade-offs for speed and standardisation
Peer-driven guidance on addressing AI ROI questions when the gap between pilot and production limits returns
Strategies for overcoming infrastructure and process challenges that block scaling AI models
A closed-door, candid exchange under the Chatham House Rule
Together, these discussions will provide practical approaches to move AI from pilot to production and maximise the value of AI investments.
EVENT DETAILS:
Location: Singapore
Date & Time: Tuesday, June 9, 2026 | 6:15 PM to 10:00 PM
Format: Closed-Door Roundtable | Chatham House Rule | Peer-Driven | Pitch-Free
AGENDA:
6:15 PM to 7:00 PM Arrival and Networking
7:00 PM to 8:00 PM Roundtable Discussion and Drinks
8:00 PM to 9:15 PM Three-Course Dinner
9:15 PM to 10:00 PM Wrap Up, Q&A and Closing Drinks
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
This is an invitation-only event with limited seating. Attendance is subject to approval to ensure a senior and highly relevant group. Further details will be shared upon confirmation.