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Georgia-Pacific's Yannique Kameka: "Data Quality is Everyone's Responsibility"
Hear how Georgia-Pacific's data management leader brought business users into data quality and made it everyone's job.
Atlan's Austin Kronz: "Context is the One Thing AI Can't Commoditize"
Atlan's data & AI strategy leader explains why context is the differentiation AI can't commoditize, and why it decays without a dedicated lifecycle.
CEO Gorkem Sevinc on Data Quality, Ownership, and AI Governance
Qualytics CEO discusses why data quality is a business problem, and why AI needs human oversight.
How Healthcare Payers Operationalize Data Quality to Protect Compliance, Quality Scores, and AI-Driven Care
Qualytics ensures data quality for healthcare payers across provider files, member records, claims, and more, protecting compliance and AI.
How Manufacturers Enforce Data Quality Before It Impacts Operations, Inventory, and AI
Manufacturers use Qualytics to validate part, supplier, and inventory data upstream before it reaches automated systems and AI.
What Data Teams Actually Say About Qualytics
Customers describe how Qualytics delivers automated data quality coverage that scales without added engineering labor.
You Can Vibecode a Data Quality Tool. You Can't Vibecode a Data Quality Program.
AI coding tools make standing up data quality validation easy, but running an enterprise-grade program takes years of product discipline.
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How Augmented Data Quality Turns Detection into Governance Outcomes
Three enterprise teams used AI-augmented data quality findings to build durable governance controls. Here's how they did it.
Data Quality vs Data Control: Why AI Demands Controls
AI removes the human safety net that contained bad data. The data control layer validates data at the moment it's acted on.
See how Qualytics makes data quality proactive, automated, and shared across business and data teams.
