​From Data & ML to Impact: How Platform Teams Build Wise

​How do you build a Data Platform that turns real-time data, analytics, and ML into a system that supports billions of global transactions every day. At Wise, moving money securely across borders is not just a product challenge. It is a complex data problem that involves streaming, OLAP, analytics, ML scaling and more. The end-to-end data journey is where the hard problems meet. Streaming platforms move and process events as they happen. OLAP makes fresh, complex data queryable for investigations, operational decisions, and analytics. ML systems turn signals into real-time detection and action, particularly for FinCrime and fraud prevention. Every part of that journey must remain reliable, observable, and compliant at global scale. At the same time, Data Platforms need to help engineers move quickly without compromising safety or control.

​POV Talks is our format. Not a panel. Short, focused technical deep-dives grounded in concrete end-to-end use cases from the engineers and product leads building them right now.

​Anchored around concrete end-to-end use cases, speakers across our real-time data, analytics, platform, and ML teams will cover building the real-time data platform where transaction events flow into streaming and low-latency OLAP serving, turning fresh data into decisions for analytics and investigations, and scaling ML across critical domains like FinCrime and treasury.

​Stay tuned, full speaker announcements coming soon.

​Date, Time & Location

• ​Date: Thursday, 28 January 2027

• ​Time: 18:00 to 21:00 BST

• ​Location: Wise Office, London

• ​Target Audience: Platform Engineers, Data & Database Engineers, ML & ML Platform Engineers, AI Specialists (Agentic ML, Gen AI), and technical leaders.

​Event Agenda

• ​18:00 – 18:30: Doors & Catering

• ​18:30 – 19:30: POV Talks: Technical Deep-Dives & Use Cases

• ​19:30 – 20:00: Moderated Q&A

• ​20:00 – 21:00: Networking (opportunity to meet and connect with Vineet Gupta)