From Data to Impact: How Platform Teams Build Wise

​How do you build a Data Platform that turns real-time data, analytics, and machine learning 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, AI 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.

​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. No company decks. No generic predictions. Pure technical substance, architectural trade-offs, and something worth arguing about.

​Then we put those perspectives against each other, and open it to the room.

​Speaking: Our speaker lineup is currently being finalized.

​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: How transaction events flow into streaming, are processed continuously, and are made available through low-latency OLAP serving. Where reliability, correctness, and scale become hardest.

• ​From Fresh Data to Decisions: How analytics enables analysts to use historical data to investigate complex patterns, understand what is happening, measure impact, and support faster decisions.

• ​Scaling ML: How our ML Platform enables data scientists to build, deploy, scale and monitor ML across domains where accuracy and compliance are critical, from fraud detection to treasury.

​Stay tuned, full speaker announcements coming soon.

​Moderating:

​Agenda
18:00 Doors & Catering
18:30 POV Talks: Technical Deep-Dives & Use Cases
19:30 Moderated Q&A
20:00 Networking 📍Wise office, London

​For Platform Engineers, Data & Database Engineers, ML & ML Platform Engineers, AI Specialists (Agentic ML, Gen AI), and technical leaders.