How do you ensure the data feeding your AI systems is accurate, consistent, and trustworthy?

Data integrity is a key factor for the success and reliability of any AI application, but it also poses many challenges and risks.

Expert speakers delve into case studies around best-practice data infrastructure and integration, data validation methods, anomaly detection (for security apps), and the significance of clean data for reliable AI outputs.

In this salon event, you will learn how to assess the quality and trustworthiness of your data sources, how to implement data governance and security policies, how to detect and correct data errors and inconsistencies, and how to measure and improve the impact of data integrity on your AI outcomes.

You will also have the opportunity to network with other enterprise technical executives who are interested in data integrity for AI, and share your own questions and ideas.

Whether you are new to AI or already have some projects under way, this salon event will help you learn how to ensure data integrity for AI.

Don’t miss this chance to learn from the best and connect with your peers!