Writing your first Watson Work application, and why you’d want to
•Download as PPTX, PDF•
1 like•220 views
If you’ve heard about Watson Workspace and Work Services but have been wondering just what makes it different from other chat systems from a developer’s perspective, then this session is for you. We’ll start by showing what these two offerings — Workspace and Work Services — bring to the table for developers, and what they provide that’s unique. Then we’ll go through the steps of creating two applications: one which integrates with Workspace and the other which invokes Work Services APIs. You’ll see first-hand the steps necessary to get your applications up and running, and you’ll have access to sample code to use as a start for your own solutions.
Recommended
Recommended
More Related Content
Similar to Writing your first Watson Work application, and why you’d want to
Similar to Writing your first Watson Work application, and why you’d want to (20)
More from LetsConnect
More from LetsConnect (20)
Recently uploaded
Recently uploaded (20)
Writing your first Watson Work application, and why you’d want to
- 1. Social Connections 11 Chicago, June 1-2 2017 Writing Your First Watson Work Application Darren Cacy, IBM @kcibmer (and why you’d want to)
- 2. PLATINUM SPONSORS GOLD SPONSORS SILVER SPONSORS
- 4. Social Connections 11 Chicago, June 1-2 2017
- 5. Social Connections 11 Chicago, June 1-2 2017 “We’ve spent the last 50 years teaching humans how to use computers. Now we need to teach computers how to understand humans.” Rob High IBM Fellow VP & CTO IBM Watson
- 6. Social Connections 11 Chicago, June 1-2 2017 Work Services Workspace
- 7. Social Connections 11 Chicago, June 1-2 2017 Annotations Information which elaborates on the original message: • information • moment • focus • generic
- 8. Social Connections 11 Chicago, June 1-2 2017 Information Annotation Message: “What is my family like?” keywords taxonomy sentiment
- 9. Social Connections 11 Chicago, June 1-2 2017 Moment Annotation Message: “What is my family like?”
- 10. Social Connections 11 Chicago, June 1-2 2017 Focus Annotation Message: “What is my family like?” ?
- 11. Social Connections 11 Chicago, June 1-2 2017 Watson Conversation Create natural conversations between your apps and users, without any coding experience required.
- 12. Social Connections 11 Chicago, June 1-2 2017 Watson Conversation
- 13. Social Connections 11 Chicago, June 1-2 2017 Integrate into Watson Work
- 14. Social Connections 11 Chicago, June 1-2 2017 Focus Annotation Message: “What is my family like?” !
- 15. Social Connections 11 Chicago, June 1-2 2017 Generic Annotation
- 16. Social Connections 11 Chicago, June 1-2 2017 Demo https://ibm.biz/dpcdemo
- 17. Social Connections 11 Chicago, June 1-2 2017
- 18. Social Connections 11 Chicago, June 1-2 2017 Watson Work Services APIs REST APIs Webhook APIs GraphQL APIs
- 19. Social Connections 11 Chicago, June 1-2 2017 Webhook events • message-created: each time a new message is created in the space • space-members-added: each time a member is added to the space • space-members-removed: each time a member is removed from the space • message-annotation-added: each time an annotation is added to a message • message-annotation-edited • message-annotation-removed
- 20. Social Connections 11 Chicago, June 1-2 2017 Post a message using REST 1. Register app with Watson Work 2. Retrieve credentials 3. Authenticate via oauth 4. Retrieve access token 5. Use token for subsequent calls
- 21. Social Connections 11 Chicago, June 1-2 2017 Retrieve information using GraphQL GraphQL – a declarative query language • uses a JSON like syntax over HTTP • request exactly the data you need across any number of micro-services • get back a tailored response in a single round trip => build highly performing applications
- 22. Social Connections 11 Chicago, June 1-2 2017 GraphQL Editor https://workspace.ibm.com/graphql
- 23. PLATINUM SPONSORS GOLD SPONSORS SILVER SPONSORS
Editor's Notes
- Watson Work is a cognitive collaborative chat solution. Cognitive – a system which can Understand, Reason, and Learn Collaborative – engages multiple people for the purpose of accomplishing a particular task or the sharing of knowledge Chat – the medium of engagement is short text messages which could include images, files, and links to external content
- We know people, or perhaps we are people, who understand and can talk to computers. We call them programmers. We are trying to teach computers how to understand humans in two areas: meaning and intent. The meaning is the information content of a message. The intent is the purpose or goal inherent in the meaning. Examples of intent: question, commitment, and action request.
- Watson Work is a combination of two things: Work Services and Workspace. Work Services are the APIs which enable the cognitive and collaborative chat experience. Workspace is a reference implementation of that experience.
- A focus annotation is either an intent (from an earlier slide: question, commitment, or actionrequest) which has that intent as the “lens”, or it can be the result of Watson Conversation recognizing an intent that you have configured for it. In the case of this example, the Watson Conversation intent is “family” so that is the value of the lens. See subsequent slides for details.
- An intent has been created called “#family”, so the focus annotation from a few slides back has been added to the message, with the payload containing the response from Watson Conversation.
- Integrating a Watson Conversation into a Workspace is as simple as providing the conversation ID. No coding necessary!
- And now we see where the payload came from. Try doing THAT with Slack.
- A Generic annotation is provided by an application – a bot.
- A simple example of looking at an annotation (in this case, sentiment) and determining something about the conversation and people involved.