Agentic data quality: how organisations are implementing tools and operating models
Join an exclusive peer discussion for senior data and AI leaders.
This small-group session offers a confidential space for senior professionals to exchange insights, share challenges, and learn from one another. While the session is designed exclusively for DataIQ clients, we occasionally welcome select guests who bring valuable perspectives to the conversation.
DataIQ clients: Please secure your place via the DataIQ Hub.
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Questions:
- How are organisations using AI to generate data quality rules through automated data profiling, rather than relying on manual rule definition?
- Which tools and vendors are organisations implementing to support agentic data quality, and how are these tools being deployed in practice?
- What operating models are being put in place to manage AI-driven data quality, including maintaining a human in the loop for approval and remediation?
Who should attend:
This session is designed for data and AI leaders who:
- Work in large, complex, high-maturity organisations operating in regulated environments and;
- Are responsible for data quality and are directly involved in profiling data, defining rules, and managing remediation processes.
