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Democratizing data and AI is the main challenge to achieving GenAI goals

Photo by Tara Winstead

A report by MIT Technology Review Insights explores the breakthroughs in data intelligence that will enable CIOs to reach their data and generative AI priorities across seven industries, namely retail and consumer packaged goods, healthcare and life sciences, manufacturing, financial services, telecommunications, media and entertainment, and the public sector.

The report, “Bringing breakthrough data intelligence to industries,” is produced in partnership with Databricks, the data and AI company, and is based on a global survey of 600 CIOs, CTOs, CDOs, and technology leaders for large enterprises and public-sector organizations and features in-depth interviews with C-level executives.

Among the organizations represented are AT&T, AXA, Condé Nast, Databricks, Dell Technologies, General Motors, Morgan Stanley, Regeneron Genetic Center, the United States Postal Service, and Walmart.

“While it’s early in the race to AI, leaders across diverse industries recognize the profound potential and impact of AI,” says Arsalan Tavakoli, co-founder and senior vice president of field engineering at Databricks. “Organizations investing in unified data and governance platforms to fuel their AI and empower their workforces are positioned to lap the competition in realizing AI-based results.”

The findings are as follows:

“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.”

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