Growing speed, volume and technological complexities are raising the costs and risks of AML compliance programs. This Celent report analyzes these challenges and highlights how artificial intelligence, machine learning and robotic process automation can improve AML programs’ efficiency and effectiveness.
Open source technologies are everywhere, but in the banking sector, firms face perceptual and skills issues, not to mention the complexity of technical challenges. Is overcoming those challenges worth the competitive edge that Open Banking offers?
Implementing CECL is a huge undertaking, requiring a cross-disciplinary, multiyear effort. This SAS/GARP survey provides a snapshot of where banks stand in 2018 and where they need to go. And for more guidance, check out SAS Risk Solutions Manager, John Voigt's blog, 4 Steps to implementing CECL.
To help organizations better detect and combat the ever-present threat of fraudsters and hackers, SAS has created a new global Fraud and Security Intelligence Division to focus and sharpen the SAS®fraud and cybersecurity portfolio.
This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics – demand, supply and risk – a concise theoretical orientation leads directly into specific economic models and econometric techniques.
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