Considerations for Firms Bringing in Compliance Analytics Solutions

According to the Association of Certified Fraud Examiners, the use of AI and machine learning as part of an organization's anti-fraud program is expected to almost triple over the next two years. These trends are largely driven by the exponential growth of data generated within an organization, an ever-expanding list of responsibilities for corporate compliance and legal officers, and - most importantly - the expectation of regulators that effective compliance programs must incorporate elements of technology. Yet as firms' use of AI and machine learning continues to grow, there are a number of implementation challenges that may arise.

To help guide a smooth and effective implementation of a compliance analytics strategy, FRA Director William Mui, delves into the important practical considerations that should be addressed at the forefront to avoid the most common challenges stakeholders face.

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