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 […]

The Context Layer for AI: What It Is, Why It Matters, and How to Build AI You Can Trust 

Key Takeaways  The context layer for AI isn’t one product, but a combination of metadata, semantics, and data quality that helps AI understand business-specific data.  Metadata tells AI what data exists and where; a semantic layer tells AI what that data means. Both are necessary, and neither is sufficient alone.  Built-in guardrails, like checking data freshness and quality before an AI agent answers […]

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. […]

What 2025 Taught Us About AI – and What Must Change In 2026

At the beginning of 2025, artificial intelligence seemed unstoppable. Headlines were dominated by record-breaking valuations, eye‑watering capital investments, and bold promises about how quickly AI would transform business as we know it. By the end of the year, the tone had changed. Not because AI failed, but because reality finally caught up with the hype. […]

How AI and First-Party Data Are Changing Customer Communications in Regulated Industries

I recently joined the Beyond Encryption podcast to discuss how organisations in regulated industries can use first-party data and AI to transform customer communications. It was a great opportunity to share my perspective on the challenges highly regulated organizations face, the frameworks that work for them, and the innovations that are making personalisation more effective […]

Natural Language and AI: Driving Faster, More Accessible Data Quality

Operationalizing data quality at scale remains a challenge for many organizations. Rule creation is often manual and time-consuming, testing cycles are delayed by limited access to sample data, and pipeline flexibility is constrained by rigid tooling. These barriers slow down deployment and limit who can participate in data quality efforts. Precisely’s latest enhancements to the […]

Trust ’25 Recap: The Latest in AI, Modernization, and Location Intelligence

There’s a special kind of energy that comes from bringing data leaders together with a shared goal: unlocking more value from their data. At Trust ’25, our virtual Data Integrity Summit, that energy was palpable. Data and analytics professionals from around the world joined us to explore what’s next for trusted data – and how […]

AI Advancements Will Solve Your Top Customer Communications Challenges

Customer communications are under pressure – especially in highly regulated industries like financial services, insurance, utilities, and telecom. If you’re a leader in this space, you already know the stakes. Your customers expect seamless, personalized experiences. Your regulators demand compliance. And your teams are stretched thin trying to deliver both, often with outdated systems and […]

Accelerate AI and Analytics with these 4 New Enhancements in the Precisely Data Integrity Suite

Key takeaways: New Data Integrity Suite innovations include AI-powered data quality, and new data observability, lineage, location intelligence, and enrichment capabilities. These enhancements help you scale data quality for AI, boost visibility across hybrid data environments, and embed trusted location data into critical workflows. The Suite ensures you’re able to reduce risk, drive innovation, and […]

From AI Chaos to Control: A Flexible Data Integrity Ecosystem

If you’re leading any kind of AI initiative right now, you already know the opportunities are vast – but so is the complexity. Between widespread generative AI adoption, a wide variety of LLM options, and compelling visions of agentic AI-fueled automation, the pace of innovation is extraordinary. But the fact is this: we won’t get […]