Why Big Data and AI Need Each Other — and You Need Them Both

Go ahead: give yourself a pat on the back. You’ve been doing a great job with big data.

You’re collecting and analyzing customer information, gleaning insights into what customers want and need, and acting on those insights. For the first time ever, you’re able to position products to respond to customers’ greatest needs — and you know it’s working, because you’re collecting data that proves it. You’re way ahead of most of your peers in deriving real value from big data. But you’re not done yet. If you want to stay competitive as data growth continues to skyrocket, you’re going to have to do much more to get the maximum value from the customer data you’re collecting.

Author: H.O. Maycotte

1 reply »

  1. IBM’s Watson is a cognitive computing system, one that behaves like our brain, learning through experiences, finding correlations, and remembering — and learning from — the outcomes.
    First hitting the spotlight when pitted against two of Jeopardy’s biggest all-time winners Ken Jennings and Brad Rutter, IBM’s artificial intelligence machine names Watson threw these two off their throne in quick fashion – showing that artificial intelligence was a real thing and IBM has the technology.
    If you are interested, I have posted an article about IBM Watson that you can read here:


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