Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Everyone is obsessed with “analytics.” I cannot keep up with what the technology pundits and consultants are telling me about analytics, no matter how hard I try. (I just Googled “big data analytics” ...

The problem with searching for a needle in a haystack is that the process, by nature, is inefficient. So why has it become a popular analogy for analytics efforts within the enterprise? Because ...

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What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

LAS VEGAS — SAS Institute this week unveiled tools it says it easier for its enterprise customers to use the company’s business analytics software to analyze data stored in Hadoop environments. At its ...

DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/cnkfxx/structured_and) has announced the addition of the "Structured and ...

Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain ...

ParAccel, Inc., an analytic platform provider, announced the latest version of its flagship technology which introduces analytic integration for a wide range of analytic tools and data sources.