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AI Adoption in the Enterprise 2020
book

AI Adoption in the Enterprise 2020

by Roger Magoulas, Steve Swoyer
March 2020
Intermediate to advanced
18 pages
20m
English
O'Reilly Media, Inc.
Content preview from AI Adoption in the Enterprise 2020

AI Adoption in the Enterprise 2020

Last year, when we felt interest in artificial intelligence (AI) was approaching a fever pitch, we created a survey to ask about AI adoption. When we analyzed the results, we determined the AI space was in a state of rapid change, so we eagerly commissioned a follow-up survey to help find out where AI stands right now. The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. The update sheds light on what AI adoption looks like in the enterprise—hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. There’s a lot to bite into here, so let’s get started. Key survey results:

  • The majority (85%) of respondent organizations are evaluating AI or using it in production.1 Just 15% are not doing anything at all with AI.
  • More than half of respondent organizations identify as “mature” adopters of AI technologies: that is, they’re using AI for analysis or in production.
  • Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI.
  • Though a problem, the lack of ML and AI skills isn’t the biggest impediment to AI adoption. Almost 22% of respondents identified a lack of institutional support as the most significant issue.
  • Few organizations are using formal governance controls to support their ...
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Publisher Resources

ISBN: 9781492081210