Tuesday, July 1, 2025

Alation Unveils AI-Ready Data Builder for Data Products

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New agent automates creation of trusted, reusable data products to fuel AI, compliance, and decision-making at enterprise scale

Alation Inc., the data intelligence company, announced the launch of its Data Products Builder Agent, an AI-powered tool that helps data teams turn messy, raw data into trusted, reusable data products. It removes the busywork of data teams, enabling them to deliver the data products that business users and AI need.

Today’s business users demand faster access to trusted data. Yet, enterprise data teams struggle with a deluge of under-documented data and backlogs of duplicate requests from analyst teams. These organizations are overwhelmed, making it difficult to identify what data is valuable and ready for use. Now, with the rise of AI initiatives, data teams are also under increasing pressure to deliver data fit for not only human, but machine consumption as well.

The Data Products Builder Agent addresses these challenges by transforming raw data into productized, AI-ready assets that are easy to find and use in the Alation Data Products Marketplace. By automating the data product lifecycle, the Data Products Agent streamlines curation, packaging, and publishing processes. Based on user prompting, the agent identifies the right data to answer the user’s business question. It then auto-generates and documents the data product design specification and ensures data products meet marketplace and governance standards, all while keeping a human in the loop. This enables data teams to focus on strategic work while empowering the business with trusted, ready-to-use data products.

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Alation is the most open and extensible agentic data intelligence platform and is committed to providing customers with continued independence and interoperability of metadata. Alation-built data products are governed and machine-readable across any platform. The Alation Data Product definitions build on the Open Data Products Specification (ODPS), a YAML-based standard that enables open, portable, and extensible metadata for data products. Alation has also joined the Open Data Product Technical Steering Committee (TSC), furthering its support and commitment to help partners unlock the full potential of their data in an open and interoperable manner.

“Alation’s decision to join ODPS is a significant milestone in advancing the standardization of data products. As the leader in data intelligence, Alation brings deep expertise and practical insight that will further strengthen our mission to build open, interoperable, business-ready data ecosystems,” said Jarkko Moilanen, Founder of ODPS. “We are excited to partner with Alation and welcome them to the ODPS Technical Steering Committee, where together we can help drive the development, direction, and innovation of ODPS.”

“AI will soon be the primary consumer of data. Organizations that invest in building AI-ready reusable data products will get massive leverage as AI tooling takes off,” said Jake Magner, Sr. Director, Product Management, Alation. “The biggest challenge with building data products is the time and cost of ownership, and even knowing how to make them AI-ready. The Data Products Builder agent helps solve this problem.”

Unlike legacy catalogs or manual workflows, Alation offers co-pilot editing, intelligent recommendations, and a governed data marketplace, all powered by real usage signals. These capabilities help data teams deliver trusted, reusable data products faster and at scale.

Key capabilities of the Alation Data Products Builder Agent include:

  • Effortless data product creation: Automate and accelerate the creation of trusted, high-value data products with AI-powered intelligent recommendations for data products based on user-defined use cases and popular data assets, leveraging active metadata.
  • Built-in trust: Scale data product management with built-in governance, data contracts, defined owners, certification, and reusability, while ensuring open interoperability.
  • Business-aligned relevance: Drive adoption and value by aligning data products with business and AI-demand based on data asset usage, dependencies, and value attribution. Products are published to the Alation Data Products Marketplace, enabling discoverability by data product consumers: humans and AI agents. Dashboards for data product managers and stewards track usage and feedback, helping teams iterate and continuously improve data offerings.

Source: Globenewswire

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