As AI transforms industries, the APIs powering these systems have become mission-critical infrastructure. Poor API quality can compromise AI model performance, create security vulnerabilities, and undermine entire digital transformation initiatives.

This webinar explores how the stakes for API quality have changed in our AI-driven landscape and demonstrates practical approaches to expand testing beyond development teams. We'll examine the relationship between APIs and AI systems, showing why solid API foundations are essential for reliable AI applications.

Key topics covered:

• AI-API Integration Fundamentals: Understanding how APIs serve as the backbone for AI applications, data pipelines, and model deployment


• Quality Imperatives: Why API failures have amplified consequences in AI environments and real-world impact examples


• Democratized Testing Strategies: Practical approaches for enabling non-technical stakeholders to contribute meaningfully to API quality assurance

This session is perfect for technical leaders, product managers, QA professionals, and anyone responsible for AI system reliability who wants to build more resilient, well-tested API ecosystems.