AI fails for many reasons but succeeds for few
Firms hoping to achieve ROI on their AI efforts must focus on data, partnerships, and scale—but a fundamental roadblock remains.
Recent industry studies have found that few organizations have successfully implemented AI and are struggling to move past the experimentation stage. Two separate reports, released in the last month separately by the Massachusetts Institute of Technology and global consultancy Protiviti, both detail the many reasons why AI adoption may fail to transform businesses.
But, perhaps dishearteningly for practitioners, there are only a few paths to success.
In the second installment of its AI Pulse
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