Disclosure: IBM is a consumer of the writer.

I’ve been following IBM’s Watson effort for the reason that starting — and its preliminary concentrate on successful the sport Jeopardy. This early effort was only a style of what this platform may do.

Years later, I attended the introduction of Challenge Debater, which took the platform to a debate competitors in opposition to a prime human debater. Just like the preliminary laptop chess match, the pc misplaced. However, not like chess, the loss was subjective. If I had been a choose, I might have been extra prone to award Watson the win, given the pc responses was extra entertaining, extra correct, and arguably extra attention-grabbing than the positions put forth by the human. 

Years have handed since that San Francisco occasion. Now, a present model of Challenge Debater can craft arguments on varied subjects and alter the stance of opposing views in a debate on telemedicine.  Think about if this identical functionality have been supplied to politicians or company execs arguing for a selected technique at an government retreat. 

Let’s discuss how know-how like this may make an organization extra productive.

The price of dangerous choices

Through the years, I’ve watched among the most potent firms introduced low on account of avoidable errors.  Typically these errors have been the results of two issues: Affirmation Bias by leaders who solely settle for data that matches their place, and Argumentative Idea, which locations prevailing in an argument forward of being proper. 

Copyright © 2021 IDG Communications, Inc.

By Rana

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