Guy Adams, CTO of DataOps.live explains why data observability is key
Now that AI is a board-level topic, organizations are rushing to achieve successful outcomes but enabling that success requires planning. In the AI era, “good enough” data is no longer an option. In fact, Gartner predicts that more than 60% of AI projects will fail to deliver business value by 2026 due to poor data quality, lack of governance, and manual, disconnected data management practices. Achieving trusted AI-ready data requires more than governance or pipelines; it requires DataOps automation.
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