In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

Ultimately, it all comes down to data. This is according to Chris Millet, a Baker Tilly director specializing in client engagement and managed services during a talk Thursday at the Finance and ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

For many organisations, the promise of artificial intelligence (AI) is being undermined by a fundamental problem: their data isn’t ready for it. This can lead to conflicting metrics and inconsistent ...

State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...

Before exploring its role in powering the effective use of gen AI tools, it is critical to understand what a "data strategy" entails in a corporate legal setting. In general, a data strategy is a ...

Key questions to address in AI governance include what important regulatory compliance is needed, what data can be used in training AI models, what data must not be shared with public LLMs, and what ...

For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring ...

The Defense Information Systems Agency (DISA) published its data strategy for fiscal years 2025-2027 on March 4. DISA’s goal is to optimize its network, enhance cybersecurity and leverage artificial ...