We are seeing AI (Amelia, red, AIops) /
ML (nucleus)
capabilities rapidly integrating into our data products, like text-to-SQL and automated data quality. Is there a roadmap for how this will evolve in 2026?
Additionally, with data mesh being an active topic of discussion, are there any remaining gaps or features that are preventing us from fully positioning ourselves as a true data-mesh organisation?
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