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

CIO Business Intelligence

Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2] 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. Just starting out with analytics?

Analytics 133
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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. Just starting out with analytics?

Analytics 103
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Understanding BI Tools in Today’s Market

Smarten

Find out how business intelligence and analytics technology can support your enterprise and engage the experts to help you choose an approach.’ Find out how business intelligence and analytics technology can support your enterprise and engage the experts to help you choose an approach.