Big Data and Analytics News & Reviews
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NEWS ANALYSIS: Why deep learning is a literal ‘killer app’ for computers, and how IBM has figured out how to distribute computing for much faster processing of big-data artificial intelligence workloads.
New technology considers the eyes as the proverbial 'windows to the soul,' as some people have described the way the eyes can be read to determine a person’s frame of mind.
HPE announced that its 50.1 percent portion of the Micro Focus software business will be spun off into yet a new entity called Seattle SpinCo, Inc., at the close of business on Aug. 21.
Using Delphix’s new platform, structured production data need not be moved anywhere. Virtualized clones of databases of any size can be moved, analyzed, fixed, added to, subtracted from and patched, then slid easily into the production server.
The company said it would use its $40 million in VC to support sales growth alongside the 2.0 release of its DataSphere software platform, which includes machine learning capabilities.
To say that startup Cohesity is attempting to be all things storage to all users is close to the truth.
Unlike traditional enterprise messaging software, Kafka is able to handle all the data flowing through a company, and do it in near real time. This is desperately needed as data volumes skyrocket.
Experience management provider makes major play in AI and machine learning as first step toward eliminating the need for CX analysts and data scientists.
Entering its third month as a new acquisition of Infor, the company said the patents will further enable smarter and more efficient preparation, discovery and visualization of data.
GE Digital CEO and Chief Digital Officer Bill Ruh sits down for an eWEEK Q&A to explain the development of Predix and how the company is using it in the industrial internet of things.
LiveStories was started up to enable people to obtain truth in content, something that has been a basic human fault throughout history.
Open source-based data analytics application sets business analysts, data scientists and line-of-business professionals free to do their own querying in natural language.
Natural-language processing software fills much of the void for companies who are unable to hire data scientists, a job classification whose members are few and far between in the IT world.