In the context of an IBM Watson cognitive virtual agent, what type of input data can the IBM Watson Conversation service consume?

The IBM Watson Conversation service is designed primarily to interact with users through natural language text. This means that it is best equipped to process and understand strings of text as input data. When users interact with a cognitive virtual agent, they typically enter queries or commands in text form, which the system can then analyze to generate appropriate responses.

Input in the form of strings of text allows the service to leverage natural language processing capabilities to understand user intent, recognize entities, and engage in a dialogue. This text-based approach is foundational to creating conversational agents that can simulate human-like interactions.

While IBM Watson has other services that can handle images, speech, and audio, the Conversation service is distinctly focused on text input for its processing and understanding capabilities. These other types of input might be processed by different specialized services within the IBM Watson ecosystem, but they are not the primary focus of the Watson Conversation service.