We use IBM Watson Discovery on some projects for our customers. We've used the product with IBM Watson Assistant to create solutions and answers about customer products. Our primary use case for IBM Watson Discovery is understanding products by getting product information from some folders and documents. We have the IBM Watson Assistant in front, which gets answers or specific information from our records, and then it takes care of the conversation with customers, making it more human-like.
Indexing and search tools require several key features in order to be considered a quality option for purchase. The PeerSpot community discussed some the aspects that they considered most important: the speed and frequency of indexing rated high on the list, as did customization of the tool's features (specifically overhead customization). Additionally the breadth and depth of indexing that it is capable of doing will tell a lot about an indexing/search tool. Other features mentioned include...
We use IBM Watson Discovery on some projects for our customers. We've used the product with IBM Watson Assistant to create solutions and answers about customer products. Our primary use case for IBM Watson Discovery is understanding products by getting product information from some folders and documents. We have the IBM Watson Assistant in front, which gets answers or specific information from our records, and then it takes care of the conversation with customers, making it more human-like.
We used IBM Watson Discovery to look at the different models that we have built and their performance accuracy.
We primarily use it for the help desk.