Making ready a corporation’s information for AI, nonetheless, unlocks a brand new set of challenges and alternatives. This MIT Know-how Evaluate Insights survey report investigates whether or not corporations’ information foundations are able to garner advantages from generative AI, in addition to the challenges of constructing the required information 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 effectively on in-depth interviews with 4 main consultants.
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 circumstances to create enterprise worth is a prime precedence for our group.” The number-one problem in reaching that AI readiness, survey respondents say, is information integration and pipelines (45%). Requested about difficult points of information integration, respondents named 4: managing information quantity, shifting information from on-premises to the cloud, enabling real-time entry, and managing modifications to information.
Executives are laser-focused on information administration challenges—and lasting options. Amongst survey respondents, 83% say that their “group has recognized quite a few sources of information that we should deliver collectively as a way to allow our AI initiatives.” Although data-dependent applied sciences of latest many years drove information integration and aggregation packages, these have been sometimes tailor-made to particular use circumstances. Now, nonetheless, corporations are in search of 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 information technique and companions.”
Knowledge governance and safety is a prime concern for regulated sectors. Knowledge governance and safety considerations are the second most typical information readiness problem (cited by 44% of respondents). Respondents from extremely regulated sectors have been two to a few instances extra more likely to cite information governance and safety as a priority, and chief information officers (CDOs) say it is a problem at twice the speed of their C-suite friends. And our consultants agree: Knowledge governance and safety ought to be addressed from the start of any AI technique to make sure information is used and accessed correctly.
This content material was produced by Insights, the customized content material arm of MIT Know-how Evaluate. It was not written by MIT Know-how Evaluate’s editorial employees.
