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People Don't Realize How Deep AI Already Is In So Many Things, Salesforce CEO Benioff Says (cnbc.com)
Evolving technologies should develop at a steady enough pace to adequately replace the jobs they eliminate, Salesforce CEO Marc Benioff told CNBC on Tuesday. From the report: "Technology's always taken jobs out of the system, and what you hope is that technology's going to put those jobs back in, too. That's what we call productivity," Benioff said on "Squawk Box" at the World Economic Forum in Davos, Switzerland. "I think a lot of people don't understand how deep AI already is in so many things," he said, one being Salesforce's newly updated Einstein product, which Benioff said is not yet available to clients but can tell the company whether it will make or miss earnings estimates using artificial intelligence What business leaders at the WEF have been calling the "Fourth Industrial Revolution" is at the center of a global transformation in the technology space, as artificial intelligence, robotics and cloud computing gain traction, he said.
Funny how Benioff mentions his Einstein feature when mentioning how much deep AI is already being used without people noticing. In this case, it would be very hard to notice since Einstein isn't even a live feature of Salesforce yet. Saying the technology is already pervasive, and then using an example that is still around the corner, is very disingenuous.
But then again, this was just Slashvertisement anyway.
-- All that is necessary for the triumph of evil is that good men do nothing. -- Edmund Burke
Yep. So far AI has gotten us a talking plastic tube, a talking cellphone, a talking version of windows, and a rack of POWER cpu's that can regurgitate jeopardy questions. Oh, and sometimes it poses for 'deep learning' autoplay ads about a virtual doctor that can cure cancer and the common cold.
Good people go to bed earlier.
Calling something AI as a marketing term doesn't make it real.
Computers have done this for years. What we're seeing now is the dilution of the term "AI" along with things like "analytics". An office worker with a spreadsheet is now a "data miner", just like how NOC techs became engineers.
It's what happens when the entire generation got As, are now running companies and writing tech articles.
It's more like "people don't understand how marketing departments slap the "AI" label on any old analysis software because "Artificial Intelligence" sounds much cooler than beefed up excel sheet"
bickerdyke
Also the most mis-used term of the decade, and the most misunderstood. Most people, the press and politicians, and, sadly, even some educated people who should know better, seem to think that what they're calling 'Artificial Intelligence' is something with a face, that you can have a real conversation with, that actually thinks like a human being, is conscious, self-aware, etc, just like a human being. The truth is very, very far from this science-fantasy people actually believe. A reasonably smart dog has better overall cognitive and reasoning ability than what they're calling 'AI' these days. You want to complain about 'false news'? Most 'AI' news stories qualify so far as I'm concerned, simply because so many people believe the hype and confuse fantasy with reality, and don't understand what the state of the art really is.
AI means what it's always meant to researchers since the 60s (outside of SciFi): software that solves problems that can't be solved in a straightforward procedural way. E.g., voice recognition and image recognition are "AI problems" that have largely been solved (still some ground to cover in machine vision, but the core work is there).
(Almost) no one has ever worked towards some sort of machine consciousness. That's not what the field of AI does, and why would you? There were always fears it might happen accidentally, of course, and that makes for great fiction, but "AI" as a research field has been delivering useful results since the 80s.
Socialism: a lie told by totalitarians and believed by fools.