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BIG DATA LDN Refresh: How Sherlock solved Card Fraud

Over the next few weeks Big Data LDN will be revisiting some of the highlights from our 2019 Conference in November as part of our Refresh series. More than 130 sessions at Big Data LDN 2019 were recorded split across 8 distinct content streams; DataOps, Data-Driven, Self-Service Analytics, Customer Experience, Governance and Master Data Management, AI, Fast Data and  BluePrint (Data Architecture). We will be releasing a video daily, delivered by a leading member of the user, vendor or consultancy community on a range of topics.

In our latest video Dmitri Lahhatsov describes how Global Fintech Startup, Revolut, built a fully autonomous card fraud detection system. In just under a year, Dmitri built Sherlock - a machine-learning-based fraud detective that continuously monitors the transactions of over 8 million Revolut users and protects them from having their money stolen by fraudsters.

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