Information Architecture (IA) is the starting point. AI is only as powerful as the AI ready data. Enterprises must prepare their data to be AI-ready—optimizing storage and compute across multi-cloud ...

Overview: Enterprises are depending on AI-powered data governance software to ensure data quality, security, and compliance ...

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 ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

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 ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

What will shape enterprise data in 2026? We look at insights from Bloomberg’s Enterprise Data & Tech Summit in London on themes such as interoperable cloud infrastructure and governed data frameworks.

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 ...

Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.

Those who pair innovation with disciplined execution will be best positioned to scale AI responsibly, intelligently and with ...