Staging environment
Free Lesson

The Role of Data Quality in AI

30 min
May 11, 2024 4:00 PM
Virtual (Zoom)

In this video

What you'll learn

Understand the critical importance of data quality in AI

Learn how data quality is crucial for AI success, impacting decision-making and outcomes.

5 common data quality issues

Explore the 5 most frequent data quality problems that can derail AI projects

Enhance your data quality

Discover foundational strategies and best practices for improving your data quality

Why this topic matters

Data is the foundation of AI. Poor data leads to faulty models and unreliable results. Ensuring data quality isn't just about maintaining databases—it's about empowering your AI systems to deliver precise and actionable insights. In this lesson, you'll get a playbook of best practices and common pitfalls for data quality.

You'll learn from

Chad Sanderson

Chad Sanderson

CEO of Gable.ai, seasoned data leader, and O'Reilly author

Previously at

Microsoft
Oracle
Convoy
Sephora
See all products from Chad Sanderson