AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Informatica's survey of 600 CDOs reveals why AI pilots fail to scale: Organizations deployed generative AI faster than they ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

It’s no longer news that A.I. is everywhere. Yet while nearly all companies have adopted some form of A.I., few have been able to translate that adoption into meaningful business value. The successful ...

To help leaders address these challenges, the global IT research and advisory firm has recently published Data Priorities 2026. The report provides CIOs and CDOs with a structured view of the most ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

Data governance involves the comprehensive management of data availability, usability, quality, and security. At Purdue University, data governance is supported by a collaborative data community ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

India’s Economic Survey 2025–26 signals a quiet but significant shift in how AI data may be governed. Here’s what’s changing.

TORONTO, ONTARIO / ACCESS Newswire / February 2, 2026 / Bronson.AI, a boutique Data and AI company specializing in predictive analytics and data-driven solutions, today announced its certification as ...

In banking, data governance is about meeting both regulatory and internal requirements. Find out what's required of your data governance plans by reading this guide ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...