AI-readiness for C-suite leaders | MIT Technology Review

Getting ready a company’s knowledge for AI, nevertheless, unlocks a brand new set of challenges and alternatives. This MIT Expertise Overview Insights survey report investigates whether or not corporations’ knowledge foundations are able to garner advantages from generative AI, in addition to the challenges of constructing the required knowledge infrastructure for this know-how. In doing so, it attracts on insights from a survey of 300 C-suite executives and senior know-how leaders, as nicely on in-depth interviews with 4 main specialists.

Its key findings embrace the next:

Knowledge integration is the main precedence for AI readiness. In our survey, 82% of C-suite and different senior executives agree that “scaling AI or generative AI use instances to create enterprise worth is a high precedence for our group.” The number-one problem in reaching that AI readiness, survey respondents say, is knowledge integration and pipelines (45%). Requested about difficult features of information integration, respondents named 4: managing knowledge quantity, shifting knowledge from on-premises to the cloud, enabling real-time entry, and managing modifications to knowledge.

Executives are laser-focused on knowledge administration challenges—and lasting options. Amongst survey respondents, 83% say that their “group has recognized quite a few sources of information that we should carry collectively to be able to allow our AI initiatives.” Although data-dependent applied sciences of current many years drove knowledge integration and aggregation applications, these had been usually tailor-made to particular use instances. Now, nevertheless, corporations are on the lookout for one thing extra scalable and use-case agnostic: 82% of respondents are prioritizing options “that can proceed to work sooner or later, no matter different modifications to our knowledge technique and companions.”

Knowledge governance and safety is a high concern for regulated sectors. Knowledge governance and safety considerations are the second commonest knowledge readiness problem (cited by 44% of respondents). Respondents from extremely regulated sectors had been two to a few occasions extra prone to cite knowledge governance and safety as a priority, and chief knowledge officers (CDOs) say this can be a problem at twice the speed of their C-suite friends. And our specialists agree: Knowledge governance and safety needs to be addressed from the start of any AI technique to make sure knowledge is used and accessed correctly.

This content material was produced by Insights, the customized content material arm of MIT Expertise Overview. It was not written by MIT Expertise Overview’s editorial workers.

Obtain the total report.

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