As enterprise business has become increasingly digital, data collection and analysis has emerged as a central component of strategic planning and business plan execution. With the right eye on data, ...

As data governance becomes increasingly part of the business (rather than an offshoot of IT), it must proactively seek to build links with other areas of the enterprise. Two paradigms dominate the IT ...

With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations ...

Data is no longer just an enterprise asset, it’s the foundation of competitive advantage. In an era of machine learning and large-scale automation, companies are managing more data than ever, and ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

In a business environment defined by climate volatility, geopolitical tension, social responsibility and regulatory challenges, enterprises can no longer afford to treat risk, sustainability and ...

AI isn't inherently trustworthy, Its reliability is built through governance. Without oversight, autonomy becomes a liability ...

A practical guide to building AI prompt guardrails, with DLP, data labeling, online tokenization, and governance for secure ...

Despite massive investments in AI, many enterprises face inconsistent outputs and poor explainability. The root cause is not the models themselves but unreliable, siloed, and opaque data ...