Preparing a corporation’s information for AI, nevertheless, unlocks a brand new set of challenges and alternatives. This MIT Technology Review 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 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 cases to create business value is a top priority for our organization.” The number-one problem in reaching that AI readiness, survey respondents say, is information integration and pipelines (45%). Asked about difficult features of knowledge integration, respondents named 4: managing information quantity, shifting information from on-premises to the cloud, enabling real-time entry, and managing adjustments to information.
Executives are laser-focused on information administration challenges—and lasting options. Among survey respondents, 83% say that their “organization has identified numerous sources of data that we must bring together in order to enable our AI initiatives.” Though data-dependent applied sciences of latest many years drove information integration and aggregation applications, these had been sometimes tailor-made to particular use instances. Now, nevertheless, corporations are wanting for one thing extra scalable and use-case agnostic: 82% of respondents are prioritizing options “that will continue to work in the future, regardless of other changes to our data strategy and partners.”
Data governance and safety is a high concern for regulated sectors. Data governance and safety considerations are the second most typical 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 specialists agree: Data governance and safety needs 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 Technology Review. It was not written by MIT Technology Review’s editorial employees.
Download the complete report.