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Research finds that 77% of data engineers have heavier workloads despite AI tools: Here's why and what to do about it
Data engineers should be working faster than ever. AI-powered tools promise to automate pipeline optimization, accelerate data integration and handle the repetitive grunt work that has defined the profession for decades.
Yet, according to a new survey of 400 senior technology executives by MIT Technology Review Insights in partnership with Snowflake, 77% say their data engineering teams' workloads are getting heavier, not lighter.
The culprit? The very AI tools meant to help are creating a new set of problems.
While 83% of organizations have already deployed AI-based data engineering tools, 45% cite integration complexity as a top challenge. Another 38% are struggling with tool sprawl and fragmentation.
"Many data engin [...]
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