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

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Opinions expressed by Entrepreneur contributors are their own. When speaking of the data revolution, bold, interactive dashboards with eye-opening insights come to mind. Behind those colorful charts ...

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

Data is the most valuable asset for organizations, and therefore preventing data breaches remains a top priority for security teams. Almost every day a new headline pops up about a huge a data breach ...

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

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 ...

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 ...

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 ...

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 ...

We live in a data-driven culture – no doubt about it. From smartphones to tractors, almost everything around us generates some form of data. To make matters more challenging, data is not only ...