Deep learning’s double lock-in conundrum

A couple of years ago, machine learning suddenly started appearing on the horizon in enterprise software. Systems of engagement ceased to be the new frontier of innovation as ‘systems of intelligence’ rapidly became all the rage. Nowadays, no self-respecting enterprise software vendor can be seen to be without a strategy for applying artifical intelligence to their systems. These AI-enriched, cloud-based systems promise a higher level of automation and productivity by discovering patterns in past behavior and then acting on them when the same conditions reoccur. Benefits are promised across every kind of enterprise function — whether it’s raising the success rate of salespeople, improving collections, planning projects more efficiently or fixing defective equipment before it fails. Vendors are rushing to embrace AI in part because they want to avoid getting…


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