Today, Intel launched the Intel Saffron Anti-Money Laundering (AML) Advisor, aimed at detecting financial crime through a transparent AI solution utilizing associative memory.
Today’s launch kicks off the first associative memory AI solution specifically tailored to the needs of financial services institutions and is optimized on Intel Xeon Scalable processors.
- Intel Saffron Anti-Money Laundering (AML) Advisor uses explainable AI to enhance decision-making for investigators and analysts. Associative memory AI finds and explains multidimensional patterns so that investigators and analysts can explore emerging trends across a bank’s or insurer’s data.
- With an unsupervised learning approach, the AML Advisor unifies structured and unstructured data from enterprise systems, email, web and other data sources to deliver insights along with the explanation of how connections were identified.
- Additionally, the AML Advisor provides the transparency required to comply with ever-tighter regulatory standards.
How does Saffron work?
Intel Saffron’s associative memory AI simulates a human’s natural ability to learn, remember and reason in real time. It mimics the associative memory of the human brain to surface similarities and anomalies hidden in dynamic, heterogeneous data sources, while accessing an infinitely larger data set than its human counterparts.
The AML Advisor surfaces these patterns in a transparent way, paving the way for “white box AI” in enterprise applications. These solutions are designed to enhance decision-making in highly complex tasks, and early results indicate they can catch money launderers with unprecedented speed and efficiency.
Is Saffron appealing to you? Have a look at the official website – Saffron