As an early adopter of an Intel® technology-based intelligent, artificial neural-network risk-control system, China UnionPay has demonstrated the value of using machine learning to drive proactive, highly efficient, and accurate risk identification and mitigation workflows. It used a platform based on Cloudera CDH* and Apache Spark* compute clusters to boost accuracy by up to 60 percent.
Gerald Grattoni and Andy Hirst discuss the interest, use-cases, and risks of Machine Learning in the Financial Services Industry.
Cloudera's Steven Totman, Intel's Parviz Peiravi, and SAS's David Wallace discuss how to fight fraud.
Mike Blalock, Intel GM of Financial Services discusses the progress of digitalization, the potential of AI, the need for banks to fix their data and their cultures to progress with both, and how techn...
NASDAQ deals with millions of transactions every second. Data is fundamental to their business but implementing a typical big data project is difficult to manage. See how NASDAQ overcame these challen...
See how our Intel® Saffron™ Cognitive Solutions can increase revenue, reduce churn, and help Financial Institutions meet compliance regulations.
Parviz Peiravi shares his insights on why relevant data is so important to deliver an AI project successfully, the challenge