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.
Bill Giard of Intel and Bryant Eadon of StrongArm discuss the drivers and barriers for hybrid cloud adoption.
Azure scales with Intel® technology to provide the flexibility for all types of workloads.
The latest technology in artificial intelligence is changing the face of computing and the capabilities of humanity.
Azure Stack enables you to launch a seamless hybrid cloud that's agile and optimized on Intel® technology.
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...
Parviz Peiravi shares his insights on why relevant data is so important to deliver an AI project successfully, the challenge