8 Reasons AI Projects Fail

The Enterprisers Project, a community helping CIOs and IT leaders solve problems, published the Articles "8 Reasons AI Projects Fail" on March 4, 2020 with a quote from Seth Earley:

Establishing master data management and governance and developing a central data repository (a data engagement platform or data lake) is mandatory. “To create transformative AI solutions, we need a holistic, synergistic, and simultaneously integrated flow of information,” says Seth Earley, author of “The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable.” Earley says that a consistent representation of data and data relationships that can inform and power AI is “the master knowledge scaffolding” for AI-driven transformation.

Read the full Article here.

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Earley Information Science Team

We're passionate about managing data, content, and organizational knowledge. For 25 years, we've supported business outcomes by making information findable, usable, and valuable.