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Modern Data Quality Summit 2024

How To Get Your Data Ready for AI?

Raj Joseph, CEO of DQLabs, makes a strong case for preparing data for AI use. He shares...

Learn from Wayne: Latest Trends in Data & AI Governance, Data Quality with AI, Data Products, and DataOps

As organizations navigate the complexities of data governance and quality, this session provides crucial insights into effectively...

Governance in the Age of AI: Balancing Innovation with Data Quality and Governance

In this session, Bruno Aziza, partner at CapitalG, explores the critical intersection of AI, data quality, and...

Navigating the Complexities of Unstructured Data with Bill Inmon

Data quality is a critical concern in the age of big data and AI. As organizations increasingly...

Common Elements of Data Quality in the Age of AI

In the era of AI, data quality has become a critical factor for successful implementations. A study...

Enterprise Data Risk: Strategic Insights from Mark Mullins, CDO United Community Bank

Mark Mullins, Chief Data Officer (CDO) of United Community Bank (UCB), provides valuable insights into the evolving...

Elevating Data Quality without High-Tech Wands

Organizations grapple with data quality challenges that cost billions annually as we move towards a data-driven world....

Can AI Ever Be Truly Reliable Without Ironclad Data Governance?

Data governance has become increasingly critical in the era of AI and big data. It ensures data...

Convergence of Data Quality, Analytics, and AI

As data volumes grow and diversify, ensuring accuracy, completeness, and relevance becomes increasingly challenging, particularly with unstructured...

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On a mission to help organizations improve data trust.

Prizm by DQLabs is the AI-native enterprise platform that unifies data observability, data quality, and context into one continuously validated system, so enterprises and their AI agents can trust the data they act on.

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