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The limitation for many companies investing in AI is not the sophistication of the models being deployed, but the lack of AI-ready data.

The concept of a data mesh has been around for a few years. At a high level, it’s a data platform architecture that allows users to access data without transferring it to one of two places: a data ...

Contrary to popular belief, the most meaningful developments in contemporary data architecture aren't the rising interest in the concepts of the data mesh or the data fabric. It’s actually the merging ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group founder. When we talk about data management, we refer to a broad ...

Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They ...

At the beginning of last year, who knew that generative artificial intelligence and ChatGPT would seize the moment? A year ago, we forecast that data, analytics and AI providers would finally get ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing. A few short years later, disillusionment has set in, with companies turning their backs ...