Fraudulent activities tend to increase when crises or other factors destabilize the world. These activities usually affect financial services institutions the most, although other industries are targeted.

Machine learning and artificial intelligence have long been considered potential answers for organizations trying to more effectively detect and prevent fraud. During this episode, Sebastian Aldeco, Director, Financial Services Industry Solutions at TigerGraph, shares his perspectives on how AI and machine learning are being used for fraud detection and what the future has in store for these technologies backed by graph databases and analytics.