After years of hype, many people feel AI has failed to deliver
Might be disappointing news for enterprises and leaders betting on AI and peppering websites and strategy documents with their commitment to AI lead innovation.
Riding the hype.
Fact is it is proving good at automating the predictable but disappointing at predicting and managing the unpredictable. And as Covid-19 has shown us- the unpredictable is not an unlikely outlier. It happens.
Many rules based systems augmenting the inbuilt intuition and scepticism of those who have succeeded through unpredictable times with technology deliver results a good as AI driven solutions. And faster and less expensively.
"Fools rush in where angels fear to tread" may be a wise maxim for those whose business, commerce and markets involve uncertainties.
Well worth a read.
The same consultants who predict that AI will have a world-altering impact also report that real managers in real companies are finding AI hard to implement, and that enthusiasm for it is cooling. Svetlana Sicular of Gartner, a research firm, says that 2020 could be the year AI falls onto the downslope of her firm’s well-publicised “hype cycle”. Investors are beginning to wake up to bandwagon-jumping: a survey of European AI startups by MMC, a venture-capital fund, found that 40% did not seem to be using any AI at all. “I think there’s definitely a strong element of ‘investor marketing’,” says one analyst delicately.
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