In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

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 ...

More than ever, building and maintaining trust, the bedrock of every business, succeeds or fails based on how data is handled ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...

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 ...

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 ...

Ultimately, this is about ensuring that IT can see and manage the data produced by systems they didn’t necessarily select or ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

CIOs addressed risk mitigation gaps and strengthened guardrails to fast-track AI projects without sacrificing on security.

Coforge has also developed the Data Cosmos Toolkit to enable enterprises to scale AI-enabled transformation programmes.

Are Businesses Ready to Trust AI with Their Most Sensitive Data? The discussion around trusting AI with sensitive data is both inevitable and essential. With AI systems increasingly integrated into ...