Making ready a company’s information for AI, nevertheless, unlocks a brand new set of challenges and alternatives. This MIT Know-how Assessment 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 mandatory 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 properly on in-depth interviews with 4 main consultants.
Its key findings embody 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 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 elements of knowledge integration, respondents named 4: managing information quantity, transferring 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 knowledge that we should carry collectively as a way to allow our AI initiatives.” Although data-dependent applied sciences of latest many years drove information integration and aggregation applications, these had been usually tailor-made to particular use instances. Now, nevertheless, corporations are searching for one thing extra scalable and use-case agnostic: 82% of respondents are prioritizing options “that may 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 issues are the second commonest information readiness problem (cited by 44% of respondents). Respondents from extremely regulated sectors had been two to 3 occasions extra prone 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 must 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 Assessment. It was not written by MIT Know-how Assessment’s editorial employees.
Obtain the total report.