Create an application that understands natural-language and responds to customers in human-like conversation – in multiple languages. Seamlessly connect to messaging channels, web environments and social networks to make scaling easy. Easily configure a workspace and develop your application to suit your needs. There's no limit to what you can do.
7 minute demo
Create an entity model to detect entities based on context, and return never-before-seen values to your application. https://console.bluemix.net/docs/services/conversation/entities.html#defining-contextual-entities
13 minute demo
Tutorial on how to make a server side call to an external system from a dialog node. https://console.bluemix.net/docs/services/assistant/dialog-actions.html#dialog-actions
Working with Dialog
3 minute demo
The dialog uses the intents and entities that are identified in the user's input, plus context from the application, to interact with the user and ultimately provide a useful response.
Gathering Information with Slots
7 minute demo
Add slots to a dialog node to gather multiple pieces of information from a user within that node. Slots collect information at the user's pace. Details the user provides up-front are saved, and the service asks only for the details they do not.
3 minute demo
Intents are purposes or goals expressed in a customer's input, such as answering a question or processing a bill payment. By recognizing the intent expressed in a customer's input, the Watson Assistant service can choose the correct dialog flow for responding to it.
2 minute demo
Entities represent a class of object or a data type that is relevant to a user's purpose. By recognizing the entities that are mentioned in the user's input, the Watson Assistant service can choose the specific actions to take to fulfill an intent.
Product Tour of IBM Watson Assistant
Want to see for yourself? Take a short test drive of IBM Watson Assistant to introduce you to the product. You'll be able to:
- Quickly create intents and entities to understanding meaningful examples to train Watson.
- Capture context from your user to reduce redundancy using slots.
- Learn how to structure your dialog flow to manage users that go off-topic using handlers.
- Learn how to organize your dialog flow for when users digress from the conversation. Then, lead the users back to the original conversation.
Additional product tours are available here:
5-15 minutes introduction
Hands-on Lab for IBM Watson Assistant
Ready to explore more? Visit IBM Cloud to get started with IBM Watson Assistant. Once you've signed up, you can use the following tutorials to get a deeper dive into the capabilities of IBM Watson Assistant.
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