[Dataiku x Bots & AI] Data Science in Compliance and Fraud Detection

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Presented by

Harry Lu (Data Analytics Manager @ Spotify)

About this talk

Tentative Schedule: (EST) 2:00pm: Intro 2:05pm: Data Science in Compliance and Fraud Detection w/ Spotify 2:45pm: Q&A Talk Abstract: Data Science is an emerging function in a variety of industries and a greater number of data scientists have begun working on personalization, recommendations, or sales optimizations. The cost of compliance has also been expanding in most industries and especially in the technology sector. This is a result of the Public’s attention shift from traditional frauds to antitrust, conflict of interest, and data privacy. While there are plenty of opportunities to leveraging DS/ML to solve such problems, the complex nature of such compliance and fraud detection issues stymies data practitioners from being able to grow the data science practice. The “language barrier” of communication between the company’s DS/business/compliance appears to hide the low hanging fruits. In this talk, Harry will share his experience in connecting data science with compliance, examples of the DS/ML use cases, and key takeaways for our two groups of the audience (Data Scientists and Business Stakeholders.) • Hidden Data Science Opportunity in Compliance and Finance • Career Journey: from a fraud investigator to a data scientist • Opportunities that often get overlooked in compliance/fraud functions • How to speak two languages: recommendations on connecting data science resources with compliance business Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.

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