Enterprise teams do not need one AI service. They need a coherent platform strategy across search, speech, document intelligence, content safety, and model-hosted experiences. This session breaks down how Microsoft Foundry and Microsoft Foundry Tools (formerly Azure AI Services) fit together in production architectures and how to avoid building accidental complexity around them.

We will compare common enterprise patterns, including document processing pipelines, knowledge retrieval, speech-enabled workflows, and governed generative experiences. Along the way, we will cover integration boundaries, security and compliance concerns, and practical guidance for composing Azure and Microsoft Foundry AI capabilities into systems that are supportable and cost-aware.

You will learn:

• How to evaluate and select appropriate AI services for enterprise use cases
• How to design integration patterns that compose multiple AI services
• How to apply security, compliance, and cost governance to AI implementations