Many companies are investing heavily in AI innovations. However, results have, at best, been mixed, with most AI innovations failing when deployed in the field. These failures are largely a result of companies using traditional innovation processes to manage AI innovations – a classic problem of applying old thinking to a new type of problem. In this report, we outline the key reasons why AI innovations are very different from traditional innovations, the challenges they pose, and how companies can tweak their existing innovation processes to enhance their success rates.
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