Does your existing data governance model align with your data and analytics strategies? 55% of data and analytics leaders surveyed reported the lack of standardized approach to data governance as the ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

Gowtham Chilakapati is a Director at Humana. He is an expert in enterprise data and AI systems with a focus on real-time analytics. With over a decade of experience leading large-scale data ...

Launching an AI initiative without a robust data strategy and governance framework is a risk many organizations underestimate. Most AI projects often stall, deliver poor...Read More The post Can Your ...

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

Businesses are scurrying to adopt artificial intelligence (AI) tools as more become available, but most have not implemented the necessary metrics to measure the returns on their investment. Many also ...

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 ...

Data governance defines the policies data management acts on. Learn more about data governance and data management and how they work together to develop business insights. Image: Gorodenkoff/Adobe ...

Lauren Glenn Manfuso is a journalist and editor in the Washington D.C. metro area. Her work has appeared in Prevention magazine online, the Miami Herald and USA Today. If college applicants and ...

In our world today, data powers everything: from artificial intelligence and innovation to connectivity and cybersecurity. AI technologies both intensify the demand for data and generate new forms of ...