Overcoming the Accuracy Barrier in Banking Fraud Detection

Presented by

Harry Powell

About this talk

Fraud is a board-level concern for banks around the world. The fact that existing fraud detection software doesn't stop enough fraud leads to massive losses for banks, losses they can find difficult, if not impossible, to recover. In this video, Harry Powell, TigerGraph's Head of Industry Solutions, talks about the limits of machine learning, their effects on fraud detection solutions, and how TigerGraph's graph analytics and machine learning are already being used by tier 1 banks in the U.S. to create a more effective fraud detection capability. To learn more, visit https://www.tigergraph.com/solutions/fraud-detection.
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TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, data operations, digital twin, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. This channel showcases TigerGraph's technology and how it helps organisations tap into their data to gain key insights into the business decisions and processes driving innovation, growth and cost optimisation. For more information visit www.tigergraph.com