MLOps in Practice: Our Journey from Models to Impact

Join Skipton Building Society and Databricks as we explore what it takes to build an effective MLOps capability.
About this Event

We'll discuss the people, processes and technology required to move beyond isolated models and create a repeatable approach to delivering data science solutions in a regulated environment. We will talk openly about our journey, from the initial challenges and the need to reflect on our practices and standards, through to the future benefits that are still to be realised.

We'll show how these ideas apply in practice through a mortgage hedging case study, taking a data science solution from idea to production, demonstrating business value and contributing to stronger model risk management through clearer governance, monitoring and control.

The session will conclude with an interactive panel discussion, where attendees can ask questions about MLOps, data science delivery, platform engineering and the lessons we've learned from operationalising data science in practice.

Who's the Target Audience?

· Data Scientists

· Machine Learning Engineers

· Data Engineers

· Platform Engineers

· Technology Leaders

· Anyone interested in how organisations move AI from experimentation to business value

Agenda

🕑: 05:00 PM - 05:45 PM
Arrivals & Networking
🕑: 05:45 PM - 06:15 PM
Talk 1
🕑: 06:15 PM - 06:45 PM
Break
🕑: 06:45 PM - 07:15 PM
Talk 2
🕑: 07:15 PM - 07:45 PM
Panel
🕑: 07:45 PM - 08:30 PM
Networking