Rethinking Data Reliability
Automating Data Testing for the Cloud and AI Era

Manual data testing can’t keep up with the scale and speed of today’s cloud migration, BI modernization, or AI initiatives. If you’re still relying on traditional Data methods, you’re likely running into delays, bad data, and compliance risks. Join experts from USEReady and iceDQ to learn how automation is helping enterprises rethink data reliability, speeding up migrations, strengthening pipelines, and making data AI-ready.

What You’ll Learn

The Hidden Costs of Legacy Data: How traditional Data methods cause delays, data errors, and compliance risks and lead to failed migration projects.
How Data Quality Works at Scale: Explore how iceDQ automates test creation, validation, and monitoring across billions of records, with no code or sampling
USEReady’s Strategic Playbook: Discover how USEReady’s DRE practice enables faster, risk-free migrations with scalable Data frameworks and methodologies
What Success Looks Like: Learn how firms like Morgan Stanley improved Data outcomes, reduced defects, and delivered clean, trusted data for analytics and AI.

Live Demo

See iceDQ in action as it validates a Snowflake migration live, catching schema issues, flagging broken pipelines, and ensuring data is production ready.

Who Should Attend

• Executives driving cloud and data initiatives
• AI & ML leaders seeking reliable AI-ready data
• QA Leaders & Data Engineering Heads
• Teams planning Snowflake or Tableau migrations

Reserve Your Spot

Don’t miss this chance to learn what works and what doesn’t when it comes to building reliable data pipelines that are cloud-ready and AI-ready.

*All attendees will receive a free, post-event DRE consultation.

Date: September 11, 2025
Time: 12:30-1:30 PM ET