#GartnerDA Summit last week was packed with insightful conversations with customers, analysts, and some of the brightest minds in data.
One thing is clear – the conversation is shifting. Data leaders aren’t just looking for visibility anymore; they're looking for actionability, intelligence, and optimization.
Here are five key trends shaping the next frontier of data management:
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The conversation is shifting from monitoring to automation, from insights to decisions. Ramke Ramakrishnan highlighted how AI can enhance DataOps, root cause analysis, and performance optimization – but only when applied with intelligence, not just automation for automation’s sake.
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As Masud Miraz pointed out, lakehouses bring flexibility, but without strong observability and governance, organizations risk sprawl, inefficiencies, and rising costs. Managing performance proactively is essential.
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Cost efficiency can’t be an afterthought – true cloud visibility exposes waste in data pipelines, infrastructure, and compute usage. Adam Ronthal made it clear: The future of FinOps is about baking cost-aware decisions into data engineering.
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Melody Chien reinforced that AI is only as good as the data it’s trained on. Ensuring trust in AI means having a connected, well-governed data foundation where metadata, quality, and observability work together.
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The best tools don’t just monitor – they drive collaboration, automate governance, and streamline workflows. As Michael J. Simone and Lydia Ferguson emphasized - the future of DataOps is about removing barriers to faster, more reliable decision-making.
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If we didn’t get a chance to connect last week, let’s fix that – DM me! ??
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