Artificial Intelligence (AI) in a data environment holds great promise. The vendor marketing message is seductive: “We use advanced technology to make things better for you.”
But it’s where the AI rubber meets the data process road that the value proposition can get muddled. In evaluating data software, integrated AI technology must be more than a marketing evaluation checkbox. Understanding how AI can impact DataOps value delivery must be a fundamental objective in the data-driven enterprise. Otherwise, the value-add part becomes meaningless.
In this report, we’ll assess AI’s potential to impact DataOps environments. (Here’s a hint: It’s about the process.) Enterprises that adopt a DataOps approach to collaborative data-workflow management establish a commitment to continuous improvement. AI can help enterprises establish efficient DataOps, but only if the value AI provides goes beyond predictive analytics (and simple marketing promises).
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