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


Preparing a company’s knowledge for AI, nonetheless, unlocks a brand new set of challenges and alternatives. This MIT Technology Review 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 mandatory knowledge infrastructure for this expertise. In doing so, it attracts on insights from a survey of 300 C-suite executives and senior expertise leaders, as nicely on in-depth interviews with 4 main specialists.

Its key findings embody the next:

Data 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 circumstances to create enterprise worth is a high precedence for our group.” The number-one problem in attaining that AI readiness, survey respondents say, is knowledge integration and pipelines (45%). Asked about difficult facets of knowledge integration, respondents named 4: managing knowledge quantity, transferring 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. Among survey respondents, 83% say that their “group has recognized quite a few sources of knowledge that we should carry collectively with a purpose to allow our AI initiatives.” Though data-dependent applied sciences of current a long time drove knowledge integration and aggregation applications, these had been sometimes tailor-made to particular use circumstances. Now, nonetheless, corporations are searching 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.”

Data governance and safety is a high concern for regulated sectors. Data governance and safety issues 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 more likely to cite knowledge governance and safety as a priority, and chief knowledge officers (CDOs) say it is a problem at twice the speed of their C-suite friends. And our specialists agree: Data governance and safety must 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 Technology Review. It was not written by MIT Technology Review’s editorial employees.

Download the complete report.



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