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Artificial Intelligence | Fraud & Security Intelligence
Marcin Nadolny 0
Here and now: Boosting anti-money laundering efforts with Artificial Intelligence

Anti-money laundering has been an issue for banks and financial institutions for some time. Transaction monitoring systems have been around for many years. Meeting and complying with regulations at the regional or national level, however, remains a challenge. Many financial institutions are almost playing catch-up with regulators, as anti-money laundering

Artificial Intelligence | Fraud & Security Intelligence
Josefin Rosén 0
Can artificial intelligence learn fast enough to beat money launderers?

Anti-money laundering is an important issue for governments and banks alike. The fight to prevent terrorist financing and profiting from crime means that banks and other financial institutions are increasingly required by regulations to put anti-money laundering systems in place. Many are turning to analytics in the process, and particularly to

Analytics | Data Management | Data Visualization
Georgia Mariani 0
The impact of data governance and analytics: An interview with the U. of Idaho

What's the impact of using data governance and analytics for the business side of education? It's an interesting question, and during a video interview, Dale Pietrzak, Ed.D.,Former Director of Institutional Effectiveness and Accreditation (IEA) at the University of Idaho shared details on the results they're realizing from using SAS for

Analytics
Christer Bodell 0
9 ways hackathons can support innovation

Hackathons are short-term programming events that use data and analytics to solve real-world challenges. They have been around for a while now, and there is general agreement that they are great opportunities for networking and experimenting. There is also, however, now a growing sense that organisations can use them to

Work & Life at SAS
Lisa Allred 0
Venting: No more passes

Chances are that sometime in your life you have been hurt by gossip.  We probably all agree that gossip is wrong.  It spreads negativity in our workplaces and social groups.  It is designed to make someone else look bad and to isolate them from the group.  It encourages people to

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