Abstract
Unlock the full potential of your AI initiatives by mastering data quality management. In this hands-on workshop, you will dive into real-world case studies to understand how data quality shapes AI performance and business outcomes.
Through hands-on exercises using industry-leading data quality testing frameworks, such as Deequ or Great Expectations, you will gain practical experience in implementing automated quality checks and solving real data challenges.
Collaborate with peers to share insights, tackle implementation hurdles, and leave equipped with actionable strategies to ensure your data supports trustworthy, high-performing AI. Perfect for anyone aiming to turn data into a strategic advantage.
Objectives
– Learn to quantify and visualize the impact of data quality on AI model – performance
– Master automated data quality checks using industry-standard testing frameworks (Deequ, Great Expectations)
– Apply theoretical data quality concepts in practical implementations
Target Group
Data/ML engineers and platform owners who struggled with data quality
Prerequisites
Laptop, basic understanding of data processing concepts