New See where your enterprise data creates delays, rework, and leakage.Get a free Data Savings Estimate
Stargo

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.

From AI projects to an operational capability

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

See ROI in 12 weeks

Stargo users see measurable return and operational profitability gains in just 12 weeks, with non-disruptive implementation in 4 weeks or less.