Precisely Unveils Innovative Data Management Platform for Enterprise AI Enhancement

Precisely Launches the New Unified Data Management Platform



In a significant move aimed at transforming how enterprises harness their data for artificial intelligence applications, Precisely has unveiled its latest offering—the Precisely Platform. This unified data management solution is designed to ensure that enterprise data is ready for AI by maintaining high quality, accessibility, and governance.

A Semantic and Metadata Foundation



At the core of the Precisely Platform is a solid foundation based on semantics and metadata. This platform integrates crucial elements like data integration, quality oversight, governance protocols, location intelligence, master data management, and customer communications. Such a comprehensive framework is essential for developing a reliable data layer that AI systems depend on.

Organizations today manage vast amounts of data that are often fragmented, spread across both cloud environments and legacy systems. Traditionally, dealing with this complexity has been a constant challenge, leading to the use of multiple point solutions that rely heavily on analytical tools and manual interventions to ensure data consistency. However, the integration of AI amplifies the importance of having coherent and well-governed datasets. AI operates best on robust data; therefore, the need to keep data gaps under control is more essential than ever.

The Precisely Platform addresses these issues head-on. It offers a unified avenue to manage and enhance data integrity while avoiding the necessity for organizations to migrate all their data into a single ecosystem. With its integrated capabilities, the platform provides a seamless experience that includes data cataloging, observability, workflow management, and AI-enabled governance, making managing data more straightforward and efficient.

Handling Trust and Governance in AI



One of the biggest hurdles enterprises face is ensuring that their data is trustworthy. The Precisely Platform tackles this challenge by facilitating data profiling, validation, standardization, matching, and reconciliation directly in the data pipeline. These capabilities help enforce governance standards, establish business terminologies, and provide visibility into the data lifecycle. Organizations can assign quality and governance scores to data assets, thereby giving leaders tangible evidence of which data sets are reliable and where potential risks might exist.

Matt Waxman, Chief Product Officer at Precisely, emphasized the need for transparency when he noted that “agents don’t stop to question the data they’re given.” As AI adoption grows, organizations must understand the data being utilized, its suitability for intended purposes, and the governance measures ensuring its reliability.

Enhanced Connectivity and Intelligence



A unique selling point of the Precisely Platform is its built-in data enrichment and location intelligence. These capabilities allow organizations to utilize extensive pre-linked datasets that include both location and business attributes. The precision with which addresses can be verified, cleansed, and standardized augments the efficacy of data analytics. Furthermore, spatial analytics offers valuable insights by revealing patterns and relationships in location-based information, empowering organizations to make data-driven decisions effectively.

When it comes to accessing these tools, the Precisely Platform makes it simple. The integration is enhanced through its AI assistant, Gio™, APIs, SDKs, and a command-line interface. This means that users can employ platform features within the systems and workflows they already utilize without having to change their operational approaches. Moreover, the introduction of Model Context Protocol (MCP) servers expands connectivity across the Precisely product suite, facilitating seamless integration with various AI clients, including Microsoft Copilot and ChatGPT.

The Precisely Platform is currently in preview and is slated for general availability in early 2027. For businesses keen on getting ahead in the AI space, understanding the full functionality of this platform is paramount. Interested parties can learn more by registering for the upcoming virtual event on October 8, titled

Topics Business Technology)

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