The key to managing a mountain of data and disruptive technologies may lie in establishing a center of competency.

Although many organizations are using artificial intelligence (AI) and machine language (ML) tools as core enablers in their data analytics projects, and AI spending worldwide continues to rise, the hard truth is that most data science projects are doomed to fail.

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