Deloitte's AI Institute conducted the State of AI in the Enterprise study between April and May 2022. This is the 5th edition of the publication, which provides organizations with a roadmap for closing the AI performance gap.
The report surveyed 2,620 executives from 13 countries. It found that 29% more of those surveyed were in the lagging category, but 79% of respondents say they have fully implemented three or more types of AI. The AI market is growing rapidly, but organizations are struggling to turn adoption into a scalable transformation.
Here's a quick look at four key actions to ensure that the value of AI is widespread.
- Step 1: Invest in leadership and culture. Leaders must do more to leverage employee optimism to change the culture by establishing new ways of working to achieve better business outcomes with AI.
- Step 2: Transform operations. An organization's ability to build and implement AI ethically and at scale depends on how well they have transformed their operations to meet the unique requirements of new technology.
- Step 3: Orchestrate technology and talent. Organizations need to strategize how to approach AI based on the skills they have, whether they are the result of people or off-the-shelf solutions.
- Step 4: Select use cases that accelerate results. The report notes that choosing the right use cases to move an organization down the AI path depends largely on business value drivers by sector and industry.
Last time we introduced how Marcy Apelt - MVP, ML/AI Product at Capital One, based on his own experience leading enterprise technology platform teams, shared best practices he learned along the way.
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