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Data management

FAIR Data Principles: The Secret to Responsible AI Adoption

Discover how FAIR data principles (Findable, Accessible, Interoperable, Reusable) enable responsible AI adoption and prevent costly AI project failures. 

by Tim Padilla

Data management

Gen AI and Machine Learning for business applications

Explore how emerging technologies like Generative AI and Machine Learning can transform business applications through data platforms & unified data layers.

by Tim Padilla

Data management

Data management: How to be more agile in a decades-old practice

Data management is an old practice, and that's what makes it prone to sluggish performance. Here's how to change that with agile data management.

by Arrigo Lupori

Data management

Project lifecycle: A deep dive into performance testing

Learn how performance testing impacts a data-driven project lifecycle: from scope to metrics tracked to the implementation itself.

by István Nagy

Data management

Has enterprise agile data ever been a reality?

Enterprise businesses are already mature developers of data capabilities. The major challenge is to build new implementations to have enterprise agile data