Published by Bridget Botelho, Editorial Director, TechTarget Search Business Analytics, August 1, 2017.
All areas of IT must brace for AI impact.
Throwing artificial intelligence at your data to answer business questions is like using a tornado to blow out a match.
In other words, just because artificial intelligence tools can provide answers doesn't mean you should use them. If good old business intelligence tools do the job just fine, stick with what you know. But AI is a great way to uncover information hidden within vast amounts of data -- as long as you're willing to use the information that surprises you, according to Jana Eggers, CEO of Nara Logics, a synaptic intelligence company based in Cambridge, Mass.
"If you aren't willing to learn, don't do an AI project. Do a regular analytics project," Eggers said during her presentation at the TDWI Accelerate conference in Boston earlier this year.
The articles in this guide provide deep insight into the dos and don'ts of AI, how AI affects the data center and IT staffing, tips for figuring out the ROI of AI, and more.