Moogsoft CEO Phil Tee likened the pursuit of data by enterprises to a Ponzi scheme. “The more data you have, the more data you need to understand the data you have,” said Tee who also claimed that “more data means less understanding.”
Tee said that the worsening signal-to-noise ratio in IT operations could only be remedied by adding AI (artificial intelligence) techniques to the processing of data thus freeing valuable human talent for more productive activities.
Thomas Claburn of The Register reported:
Tee then brought in Colin Fletcher, a research director at Gartner, to frame enterprise AI adoption in terms of casualties. “30 per cent of IT organizations that fail to adopt AI will not be operational viable by 2022,” declared Fletcher, backed up by a projected slide asserting the same thing. You read that right. Data overload qualifies as an extinction event. If that sounds a bit hyperbolic, try a more mundane rendition of the premise: You’ll need computers and data-handling software to deal with the data from your computers.
You read that right. Data overload qualifies as an extinction event. If that sounds a bit hyperbolic, try a more mundane rendition of the premise: You’ll need computers and data-handling software to deal with the data from your computers. Yep, sounds about right. To judge by the figures cited by Fletcher – 4 per cent of CIOs have actually deployed AI in their organization – there’s a bloodbath coming in four years.
