Analyst(s): Svetlana Sicular, Bern Elliot, Jim Hare, Whit Andrews
Analyst(s): Svetlana Sicular, Bern Elliot, Jim Hare, Whit Andrews
Organizations can avoid major pitfalls and maximize the chances of successful AI implementation by carefully monitoring the phases of their AI adoption, which is best measured in conjunction with deliberate adoption aids, such as a strategic view of AI and implementation of an AI center of excellence (COE). However, even without those formal entities, measuring the phases of AI adoption allows IT leaders to determine the progress in using AI across categories.
This research ellaborates 5 key phases identified by top IT leaders in the process of AI adoption to ease the execution process and avoid common pitfalls.
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