As AI initiatives grow and data pipelines expand, enterprise data quality is more critical than ever. Data teams are facing challenges maintaining quality coverage at scale. Strong processes and clear ownership—not just tools—are essential to reliable data pipelines.

Join us on January 23 at 8:30 AM PST for a quarterly Data Quality Day live event on Building Enterprise Data Quality at Scale: Trends, ROI Metrics, and AI-Ready Data.

Agenda

Session 1 | 2025 Data Forecast: What’s Hot, What’s Not - 9:00 AM PST
Hear the top 10 trends defining data and AI in 2025 from Tomasz Tunguz, General Partner at Theory Ventures and investor in Looker, Motherduck, Monte Carlo, Hex.

Session 2 | Measuring Data Quality: Align Metrics, Prove ROI, and Prep for AI - 9:30 AM PST

Measuring data quality across different business domains isn't always straightforward—especially when AI adoption adds layers of complexity. Learn how to transform your data quality processes and ensure your data is ready for AI-driven success.

Session 3 | Data Quality for AI: Ensuring Trust and Reliability Through Integrated Observability and Collaborative Exploration - 10:15 AM PST

Spot and resolve data quality issues before they wreck your AI projects. Learn how to safeguard your models, scale AI smoothly, and ensure your data works for you—not against you.

About Data Quality Day:

Hear how leading enterprises are transforming their data quality strategies with forward-looking insights into emerging trends, actionable metrics, and AI-ready data practices. Learn how to measure and improve your data quality to build trust and drive business impact at scale.

Register Today! 

https://hubs.li/Q031n04f0

Best,

Ravit Jain

Founder & Host of The Ravit Show