What is the primary use case for Azure's Cognitive Services?

The primary use case for Azure's Cognitive Services is centered around providing APIs that enable developers to build intelligent applications. These services harness the power of artificial intelligence to enable applications to perform a variety of tasks that typically require human-like capabilities. This includes functionalities such as natural language processing, speech recognition, computer vision, and decision-making, all designed to enhance user experience and allow for more sophisticated interactions.

By offering pre-built models and easy-to-use APIs, Cognitive Services allows developers, regardless of their expertise in AI, to incorporate complex machine learning capabilities into their applications without needing extensive knowledge of the underlying algorithms or data science. This capability facilitates rapid development and innovation in creating applications that can understand and interpret user inputs in more intuitive ways.

The other options, while related to cloud services, focus on aspects that are not the main purpose of Azure's Cognitive Services. Monitoring cloud resources, facilitating data storage, or streamlining workflows do not directly align with the primary intent of Cognitive Services, which is to enable intelligent application development.