Leaders across every industry cite democratizing data and AI as the number one challenge to achieving their generative AI goals, according to a new MIT Technology Review Insights research report

MIT Technology Review Insights Massachusetts California

Real-time analytics and secure sharing are priorities in every industry to unleash the power of data truly. Sixty-four percent of CIOs say the ability to securely share live data and AI assets across platforms is "very important." Across industries, executives see promise in technology-agnostic data sharing across an industry ecosystem supporting AI models and core operations that will drive more accurate, relevant, and profitable outcomes. An even larger share (72%) say that the ability to stream data for real-time analytics will be key to delight customers and gain competitive advantages.

All industries aim to unify their data and AI governance models to protect and enable innovation. 60% of CIOs say a single built-in governance model for data and AI is "very important," suggesting that many organizations struggle with a fragmented or siloed data architecture. Every industry will have to achieve this unified governance in the context of its own unique systems of record, data pipelines, and requirements for security and compliance.

Industry-specific requirements will drive the prioritization and pace of generative AI use case adoption. Supply chain optimization is the highest-value generative AI use case in manufacturing. At the same time, it is real-time data analysis and insights for the public sector, personalization and customer experience for M&E, and quality control for telecommunications. Generative AI adoption will not be one-size-fits-all, with each industry taking its own path. Still, in every case, value creation will depend on access to data and AI across roles within the organization.

Preserving data and AI flexibility by leveraging multicloud and open source is critical for managing risks and accelerating innovation. Sixty-three percent of CIOs believe that leveraging multiple cloud providers is at least somewhat important, while 70% feel the same about open source standards and technology. Given the fast-moving AI landscape and uncertain regulatory environment, executives firmly believe in the value of strategic flexibility.

"Today's technology leaders are making it clear: a unified governance model for data and AI is not just a priority; it's a necessity," says Laurel Ruma, global director of custom content for MIT Technology Review. "As we move forward, it's evident that real-time analytics, secure data sharing, and technology-agnostic ecosystems will play pivotal roles in shaping the future of innovation across all industries."

To download the report, click here.

For more information please contact:

Natasha Conteh
Head of Communications
MIT Technology Review Insights
[e-mail] 

About MIT Technology Review Insights

MIT Technology Review Insights is the custom publishing division of MIT Technology Review, the world's longest-running technology magazine, backed by the world's foremost technology institution—producing live events and research on the leading technology and business challenges of the day. Insights conducts qualitative and quantitative research and analysis in the U.S. and abroad and publishes various content, including articles, reports, infographics, videos, and podcasts. And through its growing MIT Technology Review Global Insights Panel, Insights has unparalleled access to senior-level executives, innovators, and entrepreneurs worldwide for surveys and in-depth interviews.

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