Governments can’t scale artificial intelligence safely without trusted data foundations, minimum viable governance and clear ...

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 ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

• Invest in data readiness. Informatica’s CDO survey notes that data quality and readiness (43%), technical maturity (43%) and skill shortages (35%) are the top obstacles to AI success. Winning ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

As enterprises rush to bring AI into business processes, data analytics is near the top of most of their wish lists. Injecting AI into data analytics promises benefits that range from improved cost ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

The addition of Okera’s data governance technology to the Databricks Lakehouse Platform will boost data protection and governance for AI and machine learning tasks. Data lakehouse platform developer ...