Why data integrity is critical to the success of your AI initiatives

In the rapidly evolving landscape of AI, maintaining data integrity is critical. How much your organization benefits from its predictions is entirely dependent on the quality and accuracy of the data you’re feeding into it. That’s why prioritizing robust data integrity is non-negotiable for any organization investing in AI initiatives. Join us to hear about the data integrity practices that can help you unlock the full potential of AI while minimizing risks and ensuring responsible use.

In this webinar you’ll learn:

• Why data integrity is crucial for AI
• How data integrity directly influences the success of AI initiatives
• The significance of high-quality and accurate data for training AI models
• How data integrity practices can help in minimizing biases and errors in AI outcomes
• Best practices for maintaining data integrity throughout the AI project lifecycle

Speakers:

• David Colwell, VP, AI & Machine Learning
• Alex Tabisz, Senior Principal Architect

The product featured in this webinar is Tricentis Data Integrity. Watch a 5-min overview and request a demo to learn more.