On the 3rd of April 2011, the inhabitants of Chaoyang district in northern Beijing woke up to a strange spectacle. A team of twenty policemen, dressed in plainclothes but armed to the teeth, were placing cordons around an empty building. Power to the neighbourhood had been cut off. In breathless darkness, the residents watched as officers advanced through the doorway, returning minutes later with laptops and a hard drive. Miles away in the Beijing Capital Airport, the building's owner--a towering, shaggy-haired man in his fifties--was being forced, handcuffed, into the back of a squad car.

COLORADO SPRINGS, CO--(Marketwired - October 05, 2016) - Cherwell Software, a global leader in IT service management (ITSM) solutions, announced today to customers at its annual conference that the Cherwell Service Management platform is utilizing Microsoft Azure Machine Learning to integrate predictive analytics into its ITSM solution. Azure Machine Learning, part of the Microsoft Cortana Intelligence Suite, provides a cloud-based service that enables companies to apply statistical techniques to large amounts of data and leverage analytics to solve problems and create smarter applications. Cherwell customers can now harness the power of Azure Machine Learning to analyze incident and ticket data stored within Cherwell Service Management, and utilize pattern recognition to create algorithms that assist with incident prioritization, triage, and resolution. "Azure Machine Learning and the Cortana Intelligence Suite offer an easy way to add powerful intelligence to existing applications. By integrating Azure Machine Learning with Cherwell Service Management, Cherwell has introduced the next generation of service management," commented Dawson Stoops, VP of Technical Alliances at Cherwell.