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.

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...

Open banking, embedded finance, and AI are changing where bank data flows. Data privacy now determines how far innovation can ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

The field of data and analytics is rapidly growing and evolving, requiring creativity, skill and a deep understanding of emerging technologies, particularly in data governance. Advanced strategies for ...

Data governance is transforming the world of business and IT as organizations increasingly acknowledge and embrace the importance of data in the modern world. And this transformation significantly ...

India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...

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 ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...