Product Led Growth Leaders
156 - Trusting Your Data: The Key to Successful AI and Regulatory Compliance
Building Data Trust for the AI Era: Insights from Jay Limburn of Ataccama
In this episode of the Product Led Growth Leaders podcast, host Thomas Watkins speaks with Jay Limburn, Chief Product Officer at Ataccama, about the critical intersection of data management, governance, and artificial intelligence. With a background that spans decades in enterprise technology and his previous leadership role at IBM, Jay brings a rare perspective on how companies can transform fragmented data systems into strategic engines of growth. Their discussion explores how trusted data underpins not only compliance and governance—but also the success of every AI initiative in today’s fast-moving business landscape.
The Foundation of AI Success Is Trusted Data
As Jay explains, organizations are sitting on enormous amounts of data, but very few can confidently say they trust it. Between regulatory pressure, fragmented tools, and accelerating AI adoption, the challenge has shifted from simply collecting information to governing and using it responsibly. He notes that data quality and governance are now board-level concerns: compliance failures can damage both finances and reputation, while unreliable data leads to biased or inaccurate AI outcomes. The key, he says, is building a unified approach that integrates data cataloging, lineage, and quality management—capabilities that Ataccama has woven together through its platform to help global enterprises maintain accuracy, transparency, and accountability at scale.
What differentiates Ataccama’s model is its ability to make governance accessible across the organization. Jay emphasizes that successful data strategies empower both technical and business users, creating a culture where everyone can engage with data confidently. AI now plays a pivotal role in that empowerment, automating complex metadata tasks, flagging inconsistencies, and translating technical rules into natural language. By removing friction and enabling collaboration, organizations turn data governance from a compliance exercise into a catalyst for innovation—where trusted data becomes the foundation for better decision-making and more ethical AI systems.
Looking ahead, Jay predicts that the future of enterprise data lies in multi-agent AI systems—networks of intelligent agents capable of reasoning, validating, and communicating insights in real time. In this new environment, trust and explainability become competitive advantages. Companies that can verify the origins and quality of their data will be able to use AI more confidently, while those that can’t risk falling behind. For leaders, he advises starting with a clear understanding of their current data landscape, consolidating tools where possible, and investing in unified platforms designed for scale. The message is clear: AI will only be as strong as the data foundation it stands on.
About Jay Limburn
Jay Limburn is the Chief Product Officer at Ataccama, where he leads innovation in AI-driven data management and governance. With extensive experience in enterprise technology, he has helped global organizations modernize their data strategies to unlock trust, agility, and business value.
About Ataccama
Ataccama provides a unified data management and governance platform that helps enterprises build, trust, and scale data for analytics and AI. Its modular system integrates data cataloging, quality, observability, and governance to enable organizations to move from data chaos to clarity.
Links Mentioned in This Episode
Key Episode Highlights
Trusted data is the foundation of ethical and effective AI.
Unified data platforms reduce complexity and ensure compliance.
Empowering both business and technical users is key to scaling governance.
AI is transforming data management by automating quality and metadata processes.
The future belongs to organizations that can verify and explain their data.
Conclusion
As Jay and Thomas discuss, the future of AI isn’t just about algorithms—it’s about the integrity of the information those systems rely on. By uniting governance, automation, and human insight, leaders can create organizations that not only comply but also innovate with confidence.
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