Sinequa ES: new version of its search and analyltics insight platform

"Cognitively enabled applications, especially those dealing with unstructured data, are clearly the future for better information delivery to users in a wide range of industries and work environments," said David Schubmehl, Research Director at IDC. "By 2020, 50% of all business analytics software will include prescriptive analytics built on cognitive computing functionality." In order to achieve the quantum leap into the world of Cognitive Computing with this new version, Sinequa has integrated the Spark platform in its distributed architecture and implemented Machine Learning algorithms on Spark within the core of its product. "Our law firm has built a system leveraging Sinequa's Search & Analytics platform to get insight about our experience from millions of records and documents including attorney biographies, subject matter summaries, time notes/billable hours and more. We are excited about this new version with Machine Learning based on Spark and look forward to the added value it can provide to us," said Harris Tilevitz, CTO at Skadden, Arps, Slate, Meagher & Flom LLP. With nearly 1,700 attorneys, Skadden, Arps, Slate, Meagher & Flom LLP is one of the highest-grossing law firms in the world.