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SIFMA AML25 Conference

  • Writer: FinScan
    FinScan
  • 1 day ago
  • 2 min read

CONFERENCE May 12-14

Conrad • Washington, DC

 

Join FinScan for the only conference in this space that is tailored to the securities industry.


For 25 years, SIFMA's Anti-Money Laundering and Financial Crimes Conference (SIFMA AML) has gathered AML, financial crime, and sanctions professionals, regulators and law enforcement to discuss the most consequential issues facing the capital markets and the latest approaches to protecting the integrity of the global financial system.


This May at the Conrad Washington DC, speakers will explore the evolution of the AML framework, delve into today's developments and priorities, highlighting the trends and innovations that are shaping the future of anti-money laundering and financial crime compliance.


Plus, be sure to attend our panel:

Untapped potential: building innovation-ready data

 

Imagine an elite athlete training on a diet of Twinkies and McDonalds. Ridiculous, right? For humans, food is fuel. For AI and other innovations, data is fuel. Yet many financial services organizations plan to feed their AI Twinkies as they begin to lay out their strategy. They’re forgetting the fuel that will drive the success of their big-bet innovation strategies.

 

Ever since technology has been a core business strategy, financial services organizations have been collecting data. Loads of it. But numerous studies show that most executives agree on one thing: they don’t trust their data. Yet we’ve limped along relying on spreadsheets and half the story. And it has generally been enough—until now. AI in its infancy but it is expected to radically change the way humans do everything. And AI needs to be trained on data. Good, healthy data. If you can’t trust your data, can you trust it to feed your AI?

 

In this session, you will learn:


  • How to get your data ready for growth and compliance

  • Data quality strategies that won’t disrupt your business

  • Frameworks for assessing and fixing your data

 

This conference is eligible for continuing education credits.



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