Big Data and Analytics News & Reviews - Page 24
More Big Data and Analytics News
New control enables enterprises to safely deploy AI to drive better customer experiences while maintaining compliance, especially for the coming GDPR.
Product information management (PIM) means managing the information required to market and sell products through distribution channels.
IT transformation itself isn’t news; that’s what been keeping the tech business in business for more than three generations. This, however, is about server upgrades that add much more functionality than previously.
The new data management offering stretches across various types of data sources and repositories to helps businesses extract more value out of their big data.
Splunk expands the machine learning capabilities and security features including ransomware prevention, of its big data analytics platform of Enterprise 7.0.
Gigya's customer identity and access management platform enables enterprises to build effective, lasting relationships with their customers.
Salesforce is making it a lot easier to connect a company’s data stores with its cloud-based analytics function by including wizard-like connectors in the platform.
New Relic Applied Intelligence is a set of tools that brings to bear big data analytics, machine learning and predictive algorithms to “learn” and predict application behavior.
Join us Sept. 13, at 11 a.m. PDT/2 p.m. EDT/7 p.m. GMT when @eWEEKNews hosts its monthly #eWEEKChat on "Memory-Based Computing: Future of the Data Center." You're likely to learn something new and valuable.
Startup combines data governance and security, catalog and discovery, AI and machine-learning-assisted data prep, community collaboration and cloud-optimization all into one package.
Survey of 400 CEOs uncovers some significant findings for new-gen usage of data and analytics, including the fact that half of them said they are concerned about the integrity of the data upon which they are basing their decisions.
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.