Data Catalog for AI: Prove Your Data Is Ready Before It Powers a Decision

Key Takeaways: AI and Agentic AI systems need data that is accessible, governed, quality-checked, and certified for specific use cases before they can act on it reliably. A modern data catalog goes beyond inventory to create a trust layer connecting business context, lineage, quality scores, and governance policies in one queryable foundation. Discovery, traceability, readiness, and trust are the […]
Data Governance For AI Readiness: The Foundation Your Strategy Can’t Afford to Skip

Key Takeaways Organizations with formal data governance programs are 21% more likely to report high trust in their data than those without one. This is a critical disconnect when AI is in the picture. The highest-performing organizations aren’t running data strategy and data governance as separate tracks; they’re running them together, and that alignment is what separates durable AI programs from expensive pilots. AI […]
Your Data Was Built for Humans. Agentic AI Readiness Means Something Different.

Key Takeaways Agentic AI removes the human safety net from data pipelines, raising the bar from “good enough to interpret” to “good enough to act on autonomously, without review.” Closing the Agentic AI Data Integrity Gap requires unified, context-rich, and governed data that agents can reliably reason with and act on. Organizations should start with a single, high-value […]
Why AI Data Governance Is the Key to Scaling AI in 2026

Over the past year, I’ve had more conversations about AI than at any other point in my career. Increasingly, those conversations have centered on AI data governance – how organizations can move fast with AI while still trusting the data behind it. AI has moved from experimentation to execution, from side projects to board-level conversations. […]
How Connectors Power Trusted Data Through Unified Metadata and Lineage

Data rarely lives in one place anymore. It moves continuously across your operational systems, cloud environments, analytics platforms, and customer-facing applications. As architectures grow more distributed, modern enterprises are rethinking the strategic role of connectors. They’re no longer simple data-movement utilities. They’re the collectors, translators, and amplifiers of metadata that fuel discovery, governance, observability, quality, […]
Opening the Black Box: Building Transparent AI Governance Frameworks

Executive Summary Effective AI governance frameworks are essential for managing the lifecycle of AI models, addressing transparency gaps, monitoring bias and drift, and adapting to evolving regulatory demands. Key practices include centralized model registries, automated compliance workflows, continuous monitoring, standardized templates, and cross-functional collaboration. By adopting a robust AI governance framework, organizations mitigate risks, ensure […]
Is Your Data Understood and Compliant? Here’s How to Fix It

Key Takeaways: Lack of shared data definitions, ownership, and built-in compliance creates risk and inefficiencies across your organization. Business-friendly governance and stewardship frameworks empower teams to trust, manage, and use data with confidence. Start small with clear roles, goals, glossaries, and workflows—and scale toward proactive, automated compliance and increased data visibility. Every organization relies on […]
What Will the CDO of the Future Look Like?

Dialogue on an Inevitable Transformation Imagining the world in 2050 is a fascinating exercise. What will be the impact on businesses and the roles within them? Here, we focus on the role of the Chief Data Officer (CDO) to understand its future evolution, transitioning from technical management to a hybrid role combining strategy, innovation, and […]
What is Data Integrity?

Key Takeaways: Data integrity is achieved when data has maximum accuracy, consistency, and context – giving you the power to trust your data and make better business decisions. The journey to trusting your data can be challenging, but you can more easily and effectively build data integrity when the core capabilities you need work together. […]
AI-Driven Data Integrity Innovations to Solve Your Top Data Management Challenges

Key Takeaways: New AI-powered innovations in the Precisely Data Integrity Suite help you boost efficiency, maximize the ROI of data investments, and make confident, data-driven decisions. These enhancements improve data accessibility, enable business-friendly governance, and automate manual processes. The Suite ensures that your business remains data-driven and competitive in a rapidly evolving landscape. Data-driven decision-making […]
Must-Know Data Integrity Trends for 2025
2025 Planning Insights: Data Governance Adoption Has Risen Dramatically

Key Takeaways: Interest in data governance is on the rise – 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is […]