Unlock the future of Artificial Intelligence with confidence! As AI transforms industries, the need for trustworthy, reliable, and ethical systems has never been greater. This session reveals how model assurance—rigorous testing, validation, and oversight—empowers organizations to deploy AI solutions that are accurate, fair, and secure. Discover the latest strategies for data-centric validation, continuous monitoring, and ethical governance. Learn how leading platforms and innovative testing methods can help your business build resilient AI that inspires trust and drives results. Step into a world where responsible AI isn’t just a goal—it’s a competitive advantage.

This session explores the diverse landscape of AI models, including large language models, generative AI, machine learning, and deep learning, and emphasizes why robust testing is essential. Discover how organizations can go beyond traditional software testing by adopting a strategic, data-centric approach: validating data quality, defining meaningful metrics, and implementing continuous, automated testing. Learn about critical testing methods—performance, bias, robustness, security, explainability, and more—that ensure AI systems are not only high-performing but also transparent and resilient.