Precisely comments on data powering agentic AI

As agentic AI continues to become embedded in everyday business operations, we talk to Dave Shuman, Chief Data Officer, Precisely about why organizations must view data governance as essential for if they are to achieve agentic AI success, innovation and reliability.  

“Agentic AI poses significant risks to organizations that don’t implement data governance.  Unlike generative AI – which may produce hallucinations that can be reviewed and addressed – agentic AI carries out actions on behalf of an organization, without human oversight.  If these systems operate on inconsistent, biased or badly understood data, they risk automating poor decisions at scale, as they rely entirely on the trustworthiness of the data on which they are trained.”
 
“Recent research shows that 71% of organizations with an ongoing data governance programme report high or very high trust in their data, compared to just 50% without one.  Strong governance has become non-negotiable to AI success as it enables the creation of high-quality outputs.  To ensure they are implementing a robust data governance strategy, organizations must consider best practices around data privacy, compliance and AI ethics.”
 
“Global Information Governance Day each February reminds us that, to create meaningful AI outputs and manage data responsibly, organizations must ensure they are treating data governance as foundational, alongside the other key pillars of data integrity: enterprise-wide integration, location intelligence and data enrichment.  By embedding this directly into AI initiatives, organizations can keep pace with innovation while grounding it in trust.”