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.

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

India’s DPDP Rules trigger a shift from planning to execution. Explore sectoral readiness, the 18-month compliance runway, ...

Permission sprawl is colliding with AI regulations, creating new compliance risks across hybrid and multi-cloud environments.

In the evolving landscape of credit, partnership lending is central, with L&T Finance reporting 70-80% of loans through ...

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

As UHNW and HNW clients demand real-time, predictive and globally consolidated wealth oversight, Azimut Investment Management ...

Here’s the uncomfortable truth: If your primary AI strategy is efficiency, you’re not building competitive advantage. You’re ...

The deal underscores a broader industry shift as security vendors race to address the risks introduced by LLMs, copilots, and ...

The deal comes as enterprises increase their focus on AI agents, despite looming governance and accessibility challenges.

Tirupati: The Integrated Command Control Center at Tirumala, set up by TTD enabled improved pilgrim comfort, enhanced safety and created India's.

As investment in AI continues to grow, the gap between expectation and outcome may widen for organizations that neglect these fundamentals. Conversely, those that treat data harmonization, analytics ...