Implementing ethical, trustworthy AI is complex yet imperative. And it requires improving the quality of enterprise data. Learn more.

CDOIQ brought together data, analytics, and AI leaders to share experiences and ideas that advance the use of data and AI. Explore 9 insights from the event.

Global retailers require more than clean data. They must understand the record history of where it came from and why it was merged. Learn how AI-native MDM helps.

When it comes to integrating siloed data, rules-based MDM solutions can’t scale. Discover how AI-native MDM integrates and masters siloed data in real time.

AI literacy is a new must-have skill for data leaders. Discover what AI literacy is, the critical components of it, and how to build your skills. Read more.

Traditional data governance has prevented retailers from realizing the full potential of customer data. AI-native MDM offers a new, better approach.

Get up to speed with Tamr’s latest product updates, including address standardization, schema expansion, enhanced cluster verification controls, and more.

Personalizing customer experiences in real time requires retailers to have access to clean, unified, timely data. Discover how Tamr’s AI-native MDM can help.

Integrating LLMs with complex enterprise data isn’t easy. But with new advances in MCP integration—and Tamr’s AI-native MDM—it gets a lot easier. Learn more.

To successfully manage data in the age of AI, CDOs must make six fundamental shifts. Discover what they are and how they transform data management.

Data enrichment improves data quality by linking valuable, internal data with trustworthy external data provided by third parties. Learn why it matters.

AI requires high-quality, trustworthy data. But how do you know if your data is ready for AI? Read on to discover the five signs your data is AI-ready.

Explore Tamr’s latest feature release to discover new capabilities, including webhook authentication, enhanced healthcare provider matching, and more.

Successful CDOs are more than technical experts. They’re business strategists who collaborate with business stakeholders to drive meaningful change. Learn more.

Data silos make it difficult to access and share information across departments. Discover how an MDM strategy, fueled by AI-native MDM, eliminates siloed data.

Explore the differences between centralized and decentralized data management and how AI-native MDM can support the strategy that is right for your business.

Business cases for AI-native MDM need more than a list of technical features. They must also demonstrate real business value. Learn more in our how-to guide.

AI, MDM, and delivering business value fast were among the hot topics at Gartner’s Data & Analytics Summit in London. Explore Tamr’s seven key takeaways.

Uncover how AI-powered, human-refined golden records outperform traditional master data management (MDM) by delivering unparalleled accuracy, efficiency, and insights.

Supply chains are more interconnected and vulnerable than ever before. Discover 6 ways to address supply chain vulnerability and how AI-native can help.

AI-native MDM is changing data management using faster, more efficient ways to resolve entities, break down silos, and deliver high-quality data. Learn more.