How do you detect suspicious activity across seemingly unrelated transactions?\n\nJoin us at the next SurrealDB London Meetup for a deep dive into how graph and vector capabilities can help financial institutions spot transaction fraud rings, surface anomalous behaviours, and enhance fraud detection efforts.\n\nIn this session, you’ll learn:\n\n How to model financial transactions and entities using SurrealDB’s graph features\n How a multi-model structure enhances pattern detection and fraud analysis\n* Why these capabilities matter in real-world FinServ systems\n\nWhether you’re working in fraud detection, anti-money laundering, risk analysis or data architecture, this meetup is built to equip you with ideas and tools for building smarter, more connected systems.\n\nDrinks and networking after the talk — we hope to see you there!
talk-data.com
Topic
financial services
3
tagged
Activity Trend
1
peak/qtr
2020-Q1
2026-Q1
by
Shyam Nagarajan
(Hedera)
,
Shaji Chandrashekhar
(AWS)
,
Ben Christensen
(AI 2030)
,
Serena Palumbo
(KPMG)
,
Harry Mendell
(Federal Reserve Bank of New York)
,
Joshua Dubin
(Verizon)
A fireside chat on operationalizing responsible AI in high-stakes industries.
Four experts (two from Capital One and two from leading startups) lead roundtable conversations about best practices for building ML platforms, shipping AI products, challenges and opportunities, and the future of AI in financial services.