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ServiceNow Acquires Data.World to Enhance AI-Ready Data Governance

ServiceNow has announced its acquisition of Data.World, a cloud-native data catalog and governance platform, to help enterprises better organize and govern data for AI deployment. This move complements ServiceNow's strategy to enable AI at scale by making data more accessible and manageable, enhancing AI automation capabilities for its customers.

Published May 7, 2025 at 02:07 PM EDT in Data Infrastructure

ServiceNow, a leader in enterprise workflow management, has taken a significant step to enhance its AI capabilities by acquiring Data.World, a cloud-native data catalog and governance platform. Founded in 2015 and based in Austin, Texas, Data.World has established itself as a key player in helping organizations organize and govern their data effectively.

This acquisition aligns with ServiceNow’s broader strategy to empower enterprises to deploy AI at scale by making their data “AI-ready.” Gaurav Rewari, SVP and GM of data analytics at ServiceNow, emphasized the challenges enterprises face in managing vast amounts of data, referring to it as a journey through “data hell” before reaching “agentic AI heaven.” Data.World’s expertise in metadata management and data cataloging positions it as an ideal partner to help ServiceNow customers overcome these challenges.

By integrating Data.World’s data governance tools, ServiceNow aims to enhance the effectiveness of AI agents and automation within its platform. This will enable customers to better organize, search, and govern their data, unlocking greater value from AI-driven workflows and automation.

This acquisition follows ServiceNow’s recent purchase of Moveworks, an AI and automation company, highlighting a clear commitment to building a comprehensive AI ecosystem. ServiceNow’s approach combines building, buying, and partnering to deliver long-term value and differentiation in enterprise automation.

The Strategic Importance of Data Governance in AI

As enterprises increasingly adopt AI technologies, the quality, accessibility, and governance of data become critical success factors. Without well-organized data catalogs and governance frameworks, AI initiatives risk inefficiency, inaccuracies, and compliance issues. Data.World’s platform addresses these challenges by providing metadata management and knowledge infrastructure that enable enterprises to catalog and govern data across complex environments.

ServiceNow’s integration of Data.World’s capabilities will empower organizations to:

  • Streamline data discovery and cataloging for faster AI model training and deployment
  • Ensure data compliance and governance to mitigate risks associated with AI automation
  • Enhance collaboration across teams by providing a unified data knowledge infrastructure
  • Maximize ROI on AI investments by improving data quality and accessibility

These benefits underscore why data governance platforms like Data.World are becoming indispensable in the AI era, and why ServiceNow’s acquisition is a strategic move to lead in enterprise AI automation.

Looking Ahead: Integration and Impact

Once the acquisition deal closes, Data.World’s platform will be integrated into ServiceNow’s product offerings, providing customers with enhanced tools for data cataloging and governance within their existing workflows. This integration is expected to accelerate AI adoption by simplifying data management challenges that often hinder AI projects.

ServiceNow’s dual strategy of acquiring and building AI capabilities reflects the complexity of the AI landscape and the need for robust data infrastructure to support intelligent automation. By combining workflow automation with advanced data governance, ServiceNow is positioning itself as a comprehensive platform for the next generation of AI-driven enterprise solutions.

Enterprises looking to leverage AI at scale should watch this space closely, as the integration of Data.World’s capabilities into ServiceNow’s platform promises to reduce data complexity and unlock new efficiencies across business processes.

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