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    Home»AI Technology News»Redefining data engineering in the age of AI
    AI Technology News

    Redefining data engineering in the age of AI

    Editor Times FeaturedBy Editor Times FeaturedOctober 23, 2025No Comments2 Mins Read
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    As their affect grows, so do the challenges information engineers face. A serious one is coping with better complexity, as extra superior AI fashions elevate the significance of managing unstructured information and real-time pipelines. One other problem is managing increasing workloads; information engineers are being requested to do extra at present than ever earlier than, and that’s not prone to change.

    Key findings from the report embody the next:

    • Information engineers are integral to the enterprise. That is the view of 72% of the surveyed know-how leaders—and 86% of these within the survey’s largest organizations, the place AI maturity is best. It’s a view held particularly strongly amongst executives in monetary companies and manufacturing firms.
    • AI is altering every part information engineers do. The share of time information engineers spend every day on AI tasks has practically doubled prior to now two years, from a median of 19% in 2023 to 37% in 2025, in keeping with our survey. Respondents anticipate this determine to proceed rising to a median of 61% in two years’ time. That is additionally contributing to larger information engineer workloads; most respondents (77%) see these rising more and more heavy.

    Download the report.

    This content material was produced by Insights, the customized content material arm of MIT Know-how Evaluation. It was not written by MIT Know-how Evaluation’s editorial employees.

    This content material was researched, designed, and written by human writers, editors, analysts, and illustrators. This consists of the writing of surveys and assortment of knowledge for surveys. AI instruments that will have been used had been restricted to secondary manufacturing processes that handed thorough human overview.



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