Unified metadata becomes the kingmaker and data products rise

A look back at the predictions made for 2023 by industry analysts reveals that the expectations surrounding unified metadata and the rise of data products have not only been met but exceeded. These predictions have been particularly successful in light of the rapid advancements in artificial intelligence (AI). Data catalogs have undergone significant evolution, expanding their functionality beyond traditional roles. They now incorporate features such as data quality, security, and privacy. Microsoft Fabric’s integration of AI model catalogs with data catalogs and Databricks Unity Catalog’s unified architecture approach are standout examples of this progress.

Data products, which have become central to data strategies, have also seen mainstream adoption. Companies like Intuit Inc. showcase the importance of accessing data exclusively through these products, with Intuit boasting 900 data products. The definition and examples of data products have expanded, encompassing elements such as retrieval-augmented generation (RAG) pipelines and AI agents. The integration of large language models inference into data products is a notable trend in this area.

Furthermore, the relevance of AI has accelerated the significance and capabilities of both data catalogs and data products. These tools offer new dimensions and use cases in the realm of data management. Data catalogs are no longer mere repositories; they now play pivotal roles in various aspects of data management. Data products have transitioned from niche concepts to mainstream tools integral to data strategies. This positive trend indicates a move towards more integrated, AI-enhanced data management solutions.

In summary, the predictions made for unified metadata and the rise of data products have proven to be accurate and have even surpassed expectations. Both data catalogs and data products have undergone significant evolution, contributing to more effective and sophisticated data management in the age of AI.

The source of the article is from the blog shakirabrasil.info

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