limitedDistribution · Industry Research
From AI projects to an operational capability
AI is transitioning from projects to operational capabilities, requiring modernization and governance for effective scaling, as discussed by Databricks' CIO.

Stargo's Stardox platform accelerates AI's transition to operational capability, enhancing business KPIs and governance.
Executive Summary
The article discusses the transition of AI from experimental projects to operational capabilities within enterprises. It highlights the importance of AI showing tangible results in profit and loss statements and business KPIs. The piece emphasizes the architectural shifts necessary for AI to scale effectively, moving beyond pilot projects to become integral to business operations. Naveen Zutshi, CIO at Databricks, shares insights from his experience with companies like Palo Alto Networks and Walmart, focusing on modernization, governance, and operational discipline as key factors in this transition. The article also notes the increasing involvement of business leaders in AI discussions, which were previously dominated by technical experts.
Source: Databricks
Authors: Naveen Zutshi
Published: 2026-02-19T23:00:00Z
Original Article: https://www.databricks.com/blog/ai-projects-operational-capability
More from the News Room
View allWe are publishing more related coverage here soon. Explore the full News Room for the latest articles.
See ROI in 12 weeks
See where enterprise data is slowing operations down.
Estimate the manual effort, delays, and leakage hidden across your current workflow before you automate it.