Expert Insights | Earley Information Science

8 Reasons AI Projects Fail

Written by Earley Information Science Team | Apr 7, 2020 4:00:00 AM

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.