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.
Cloudera's Steven Totman, Intel's Parviz Peiravi, and SAS's David Wallace discuss how to fight fraud.
Parviz Peiravi shares his insights on why relevant data is so important to deliver an AI project successfully, the challenge
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...
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...
Bob Rogers shares how companies are using advanced analytics and AI. He describes key imperatives to help achieve success.
The latest technology in artificial intelligence is changing the face of computing and the capabilities of humanity.