There’s a wide range of ways to integrate AI into your applications, including but not limited to proprietary or open-source, on-premises or in the cloud, small or large models, and more.
In this session, I’ll show you how Semantic Kernel unifies these approaches by providing a universal AI language that bridges machine learning and application development. Then, I'll explore how Semantic Kernel’s agentic features enable you to build adaptive, context-aware solutions.
This session has practical demos and tools to help you select the right methods for your needs.