A new report by MIT Technology Review Insights seeks to understand how technology leaders are adopting emerging generative AI tools as part of an enterprise-wide AI strategy.
The report, “The great acceleration: CIO perspectives on generative AI,” is produced in partnership with Databricks and is based on in-depth interviews with senior executives and experts, conducted in April and May 2023. Among the organizations represented in this research are DuPont Water & Protection, MIT, MosaicML, Shell, Cosmo Energy Holdings, the US Department of Veterans Affairs, Adobe, and University of California, Berkeley.
The report also draws on an MIT Technology Review Insights global survey of 600 senior data and technology executives, conducted in May and June 2022, which found that scaling AI successfully was a top priority for 78% of surveyed executives.
“Generative AI is driving disruption across every industry and CIOs recognize that leveraging AI is no longer a nice to have, but is imperative to remain competitive. To support this, we’ll see data-driven companies extend and commercialize models with their own data, integrating them into customized applications that make sense for their business.” – Matei Zaharia, Co-Founder and Chief Technology Officer, Databricks, and Associate Professor of Computer Science, University of California, Berkeley.
The findings are as follows:
Generative AI and large language models (LLMs) are democratizing access to artificial intelligence, finally sparking the beginnings of truly enterprise-wide AI. Powered by the potential of newly emerging use cases, AI is finally moving from pilot projects and “islands of excellence” to a generalized capability integrated into the fabric of organizational workflows. Technology teams no longer have to “sell” AI to business units; there is now significant “demand pull” from the enterprise.
“We can now translate language into something that a machine can understand. I can’t think of anything that’s…
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