The key components and their interactions

While understanding the broader architecture of Dynamics 365 AI sets the stage, delving into the essential components and their interactions takes us a level deeper into the operational mechanics of this remarkable platform. These components include data storage, AI models, cognitive services, and integration interfaces. In this section, we will explore how these parts communicate, collaborate, and work in concert to enable machine learning, advanced analytics, and intelligent automation within the business ecosystem.

Data storage – the bedrock of AI

Data storage in Dynamics 365 AI is facilitated through Microsoft’s Azure Data Lake, a scalable and secure cloud-based repository designed for data analytics. However, it’s not just a place to dump your data; it’s an active component that interacts with other parts of the system. The Azure Data Lake serves as the foundational layer where raw data is ingested from...