Source link : https://tech365.info/analysis-finds-that-77-of-information-engineers-have-heavier-workloads-regardless-of-ai-instruments-right-heres-why-and-what-to-do-about-it/
Information engineers needs to be working quicker than ever. AI-powered instruments promise to automate pipeline optimization, speed up information integration and deal with the repetitive grunt work that has outlined the career for many years.
But, in accordance with a brand new survey of 400 senior know-how executives by MIT Know-how Overview Insights in partnership with Snowflake, 77% say their information engineering groups’ workloads are getting heavier, not lighter.
The perpetrator? The very AI instruments meant to assist are creating a brand new set of issues.
Whereas 83% of organizations have already deployed AI-based information engineering instruments, 45% cite integration complexity as a high problem. One other 38% are combating instrument sprawl and fragmentation.
“Many data engineers are using one tool to collect data, one tool to process data and another to run analytics on that data,” Chris Baby, VP of product for information engineering at Snowflake, advised VentureBeat. “Using several tools along this data lifecycle introduces complexity, risk and increased infrastructure management, which data engineers can’t afford to take on.”
The result’s a productiveness paradox. AI instruments are making particular person duties quicker, however the proliferation of disconnected instruments is making the general system extra complicated to handle. For enterprises racing to deploy AI at scale, this fragmentation represents a important bottleneck.
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Author : tech365
Publish date : 2025-10-23 17:14:00
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