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

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue to encounter persistent barriers to value creation. Success hinges not on ...

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...

Whether an organization is large or small, private or public, many chief data officers (CDOs) are dealing with the exponential growth of their data. Based on my experience working with leading ...

In 2026, success hinges on maturing data/AI efforts with scalable architectures, augmented analytics and robust governance, ...

The new release reflects a growing demand for enterprise AI approaches that prioritize strong data foundations, ...

How are data and AI being used to deliver value to customers and employees in the insurance industry? This is among the ...

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 ...

As artificial intelligence adoption accelerates and economic uncertainty continues to pressure technology budgets, CIOs are ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...

Unstructured data is reshaping AI data platforms as enterprises confront latency, scale and access challenges across hybrid ...