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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Intel® Technologies Move Analytics Forward.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

It provides rapid, direct access to trusted data for data scientists, business analysts, and others who need data to drive business value. Focus on Outcomes Analytics and AI hold the promise of driving better business insights from data warehouses, streams, and lakes. Just starting out with analytics?

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A Beginner’s Guide to Embedded Analytics and BI

Jet Global

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to meet user demand. How to Accelerate Your Analytics Project: Organizations are feeling the need to fast-track their analytics projects.