Greg Nichols

AI is spreading to the enterprise at a phenomenal rate.
According to a global survey of 260 large organizations, a data and analytics company, 80 percent of enterprises are investing in AI and one in three “believe their company will need to invest more over the next 36 months to keep pace with competitors.”
Let’s get this out of the way: What is AI?
Like “Big Data,” it’s a buzz phrase and technology category that’s at once alluring and elusive. In general, enterprise AI includes things like machine and deep learning, voice recognition and response, Robotic Process Automation (RPA), automated communications and reporting, predictive analytics, and recommendation engines.
If you’re a purist, you’ll recognize that a more accurate description for most of these technologies would be software automation. But that’s less fun to throw around at parties.
Big Data is distinct from AI, but the Big Data revolution that started a few years back has enabled many of the technologies we’re calling AI.
If you’re positioned to drive adoption and deployment of any of these technologies, which many IT professionals are, you’re sitting on a huge opportunity, and potentially a leap into the C-suite.

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