How To Keep Our AI Obsession From Overcomplicating Data Projects [Forbes]
Alphabet Inc. - Class C Capital Stock (GOOG)
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Source: Forbes
Photo:GettyAll too often with data projects, the knee-jerk reaction is to "throw as much at it as possible."Given 's promise, this is understandable. But it pays to step back and think about the problem before we rush in. To work effectively, needs to be used in the right way for the right applications.You wouldn't use a precision laser to tailor clothing. It could work, but it would create unnecessary cost and risk with no meaningful improvement over fabric scissors. Likewise, you shouldn't use complex for a problem that can be better solved simply.Complex is useful if there is a genuine need to process vast complex data such as self-driving cars or Google's image search. But often, it isn't.From my experience, I've seen many examples of rolled out because it is the most powerful tool available, not the most suitable. At best, this can mean wasted time and money doing something that could have been done faster and cheaper. At worst, it can mean project failure or difficult-to-un
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- A safety report card ranks AI company efforts to protect humanity [Los Angeles Times (CA)]Los Angeles Times
- 'Godfather of AI' Geoffrey Hinton says Google is 'beginning to overtake' OpenAI: 'My guess is Google will win' [Business Insider]Business Insider
- US investigating Waymo after footage captures self-driving cars illegally moving past school buses in Texas [FOX Business Network]FOX Business Network
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