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Advanced Analytics | Analytics | Artificial Intelligence | Fraud & Security Intelligence
Andreas Kitsios 0
Does Romania need to boost its anti-money laundering toolbox?

Traditionally, banks have been seen as the front line in anti-money laundering activity. They have increasingly been subject to regulatory requirements to check customers, transactions and activity. However, as governments have required banks to make fraudulent activity harder, criminals have evolved their tactics. And the financial sector needs to keep

Analytics | Customer Intelligence | Learn SAS | Students & Educators
Alex Coop 0
Hooked on data science: gamification drives engagement among students and trainees

While studying business intelligence as an undergraduate student at business school HEC Montreal, Camille Duchesne encountered Cortex, an analytics simulation that pits participants against each other to develop the most accurate models for a particular task. In this case, the simulation supports a fictional charity by predicting which subjects from

Artificial Intelligence | Risk Management
Colin Bristow 0
How can technology help insurers with the fight against money laundering?

Money laundering is a growing threat within the insurance industry. The regulatory framework within banking is adding stronger controls and governance processes which will encourage launderers to seek alternative areas to launder funds. While insurance presents a different type of Anti-Money Laundering (AML) risk, the risks still exist. Long considered

Work & Life at SAS
Lisa Allred 0
Why Willpower Fails Me

This blog post was originally published in November of 2018.  I have continued to learn about motivating behavior change and would even consider myself an expert at this point (4 years later).  Using social emotions to motivate change is still my strongest and most successful strategy so I am sharing

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