---
title: "Delivering on AI’s Promise: Why Data Observability Will Be Key in 2026"
description: AI’s future depends on data observability, quality, and governance.
---

[Resources | DataOps.live ](https://www.dataops.live/blog)

# [Delivering on AI’s Promise: Why Data Observability Will Be Key in 2026](https://www.dataops.live/blog/delivering-on-ais-promise-why-data-observability-will-be-key-in-2026)

 Written by [News from DataOps.live](https://www.dataops.live/blog/author/news-from-dataops-live) | Dec 12, 2025

***Guy Adams, CTO of DataOps.live explains why data observability is key***<https://insightjam.com/share/8qpQN88MnQiKPNXU?utm_source=manual>

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](https://www.gartner.com/en/newsroom/press-releases/2025-02-26-lack-of-ai-ready-data-puts-ai-projects-at-risk?) 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. 

[Read the article](https://www.dataversity.net/articles/delivering-on-ais-promise-why-data-observability-will-be-key-in-2026/)

[View full post](https://www.dataops.live/blog/delivering-on-ais-promise-why-data-observability-will-be-key-in-2026)

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