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Data Science and ML

What The Experts Expect of Generative AI: 2023 Survey Results

Generative AI is shortly changing into a prime precedence for any firm’s digital transformation technique. It’s hijacking conversations all over the place, from the boardroom to the eating room – we’re even seeing accelerated M&A (ie. MosaicML) to assist companies construct their very own basis fashions and generative AI instruments.

As enterprise leaders assess learn how to be bullish on generative AI whereas mitigating dangers akin to bias, Domino Knowledge Lab has introduced findings from its second annual REVelate survey which explored what prime knowledge science leaders and practitioners actually take into consideration the know-how. The outcome? 90% survey respondents imagine that the hype surrounding Generative AI is past justified. Different key findings embody:

  • Greater than half (55%) of information science leaders imagine it should have a big affect on their enterprise inside the subsequent 1-2 years.
  • A mere 6% view piggybacking on the AI options deliberate by software program distributors and different third events as a viable technique whereas the rest (94%) imagine their organizations should create their very own generative AI choices.
  • Most see challenges surrounding governance (57%), mitigating bias and guaranteeing equity (51%), in addition to problems with management (49%), as being simply as or extra necessary, than having the talents for creating generative AI options (49%).


In June 2023, Domino Knowledge Lab surveyed the attendees at Rev 4, the enterprise AI and MLOps convention. The survey examined the affect, adoption plans, limitations, dangers and associated mitigation methods that AI professionals see, or anticipate to see, as they undertake or develop Generative AI applied sciences throughout their employer’s group.

The 162 respondents self-identified as one of many following: Knowledge Science Govt (C-level/VP), Knowledge Science Chief, Knowledge Science Practitioner, IT Platform Proprietor. Because of pattern dimension, findings particular to respondents in one in all these roles are directional. Moreover, some subjective observations are based mostly on interviews with Domino clients.

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