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Research Report

AIM Evaluation: Fraud and AML Machine Learning Platform Vendors

The stakes are high for financial institutions and corporations that are the target of escalating fraudulent attacks. Machine learning platforms are an important technology that businesses are turning to in their fight against fraud and money laundering. These systems represent the next generation of detection and mitigation, and they provide a way for FIs to harness one of their greatest assets - their customer data - and apply advanced analytical techniques that can evolve with the rapid pace of financial crime.

The crowded vendor market, with similar marketing messages, can make it difficult for prospective buyers to identify the best solution for their specific set of problems and use cases. This report compares and contrasts the offerings and strategies pf leading vendors and highlights their strengths, challenges, and points of differentiation.

Businesses are turning towards machine learning platforms in their fight against fraud. 

Fraud and AML machine learning platforms are an active area of investment as businesses look to the next generation of technology that can help combat financial crime. Learn more about how Bottomline can help. 

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9 Essentials for Selecting the Right Vendor

Choosing the right vendor is simple if you know what to look for – and has potential to ensure significant ROI for the life of your program. Discover the 9 essentials to selecting the right vendor for your organization in this eBook.


Insurance Carriers Legal Bill Auditing Trends

Organizations benefit from using Legal Spend Management through cost reductions, efficiency, and greater insight for improved decision making and business results. Bottomline Technologies remains at the forefront of delivering unprecedented results to organizations.

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