Empowering data practitioners will help shape generative AI deployment for enterprise, says new MIT Technology Review Insights research report
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The report, "The data practitioner for the AI era," is based on a series of interviews with executives and data leaders. Among the organizations represented are Apixio, Tibber, Fabuwood, Starship Technologies, StockX, Databricks, and dbt Labs.
The findings are as follows:
"The reality is that what data engineers do lays the foundation for AI. It's absolutely necessary, and they have the power to make or break all of these AI applications," says Reynold Xin, cofounder and chief architect, Databricks.
"In the current AI-driven landscape, data practitioners shape the future of the enterprise—with their expertise in high demand," says Laurel Ruma, global director of custom content for MIT Technology Review. "The connection between data practitioners and business outcomes underscores critical decision points for unlocking the full potential of data and AI strategy. As generative AI evolves, data practitioners hold significant influence in transforming the enterprise."
To download the report, click here.
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For more information please contact:
Natasha Conteh
Head of Communications
MIT Technology Review Insights
[email protected]
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 a wide variety of 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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