Smarter Risk and Compliance With Data and AI

Take on fraud, risk and AML with unprecedented scale and speed

Large firms report that the average cost of compliance runs $10,000 per employee — representing one of the largest expenses for financial institutions. Learn how a modern data and AI strategy can address the most pressing risk management, fraud detection and compliance use cases: anti-money laundering (AML), risk monitoring and fraud detection.

In this workshop, we will:

  • Present a new Databricks Solution Accelerator for detecting and preventing money laundering with accuracy and speed that complies with AML rules
  • Discuss Delta Sharing, a new open source initiative that simplifies cross-organizational sharing for the secure real-time exchange of large data sets across platforms for better compliance
  • Use advanced AI techniques to empower your investigation team with deeper insights to address AML, risk and fraud

Learn how a smarter approach to risk and compliance requires a holistic view of the risk environment, using real-time insights, and ML and AI to predict issues and financial crimes before they arise. We are thrilled to host this session.

Speakers:

Junta Nakai
RVP Industry Solutions, Databricks

Sri Ghattamaneni
Sr. Solutions Architect, Databricks

Anindita Mahapatra
Sr. Solutions Architect, Databricks

Antoine Amend
Technical Director, Financial Services

Watch now