BOSTON–Cambridge Semantics, a provider of Smart Data analytic and data management solutions driven by semantic web technology, announced that it has been named to KMWorld’s 2016 list of the ‘100 Companies That Matter in Knowledge Management’ for the second consecutive year.
“We are delighted to be recognized as an industry leader in innovation and service from KMWorld,” said Alok Prasad, president of Cambridge Semantics. “To receive this award for a second year exemplifies not only the continued company growth we’ve experienced over the past year, but also our dedication toward providing valuable solutions to our customers.”
Sandra Haimila, editor at KMWorld, said: “Being named to our list of 100 Companies That Matter in Knowledge Management is a prestigious designation because it represents the best in innovation, creativity and functionality. The companies recognized this year offer solutions designed to help users and customers find information they need whenever or wherever they need it.”
Cambridge Semantics offers Anzo Smart Data Platform for building interactive Smart Data solutions that help enterprises rapidly discover, understand, combine, analyze, link and manage data from diverse sources, both from within and across organizational boundaries. Driven by the success of the Anzo Smart Data Platform, Cambridge Semantics launched the Anzo Smart Data Lake to address enterprise wide analytics and data management problems created by the explosion of big data.
Leveraging a unique graph-based approach, the Anzo Smart Data Lake goes beyond rigid relational data warehouses and unwieldy Hadoop-only data lakes, enabling business users to manage and analyze data at enterprise scale with unprecedented flexibility, insight and speed, the company said in a statement.
To develop this year’s 17th annual list, KMWorld convened a panel of colleagues, analysts and system integrators to help identify organizations dedicated to the true value of discovery and delivery of the right information to the right people at the right time.