Accenture (NYSE: ACN) has been named a “Leader” in independent analyst firm Gartner Inc.’s first “Magic Quadrant for Business Analytics, Worldwide”1 and was positioned furthest within the Leaders quadrant on the “completeness of vision” axis and highest on the “ability to execute” axis.
Manifest Insights is an exciting new Startup from Portland. “We are a data consulting and visualization company. We help companies gather together data from all the different sources where it may be and bring it together in a both easy to use and powerful dashboard, where they can slice and dice and view the data.”
HP and Hortonworks announced a strategic partnership to address the critical big data needs of enterprise customers. The joint commitment will help accelerate the adoption of Enterprise Apache Hadoop by deeply integrating the Hortonworks Data Platform with the HP HAVEn big data platform. The partnership is also supported by a $50 million equity investment by HP.
Tata Consultancy Services (TCS), (BSE: 532540, NSE: TCS), a leading IT services, consulting and business solutions organization, has announced a new partnership with MapR Technologies, Inc., provider of the highly ranked distribution for Apache™ Hadoop®, to help enterprise customers easily and rapidly capture critical big data insights.
Teradata (NYSE: TDC), the analytic data platforms, marketing applications, and services company, today announced two acquisitions that accelerate the growth of its big data capabilities. On July 16th, Teradata acquired assets of Revelytix, a leader in information management products for big data with unique metadata management technology and deep expertise in integrating information across the enterprise. On July 17th, Teradata acquired assets of Hadapt, including experienced big data technologists and intellectual property.
Project Adam is a new deep-learning system modeled after the human brain that has greater image classification accuracy and is 50 times faster than other systems in the industry. Project Adam is an initiative by Microsoft researchers and engineers that aims to demonstrate that large-scale, commodity distributed systems can train huge deep neural networks effectively.