Giving Your Model a Voice: SAS Conversation Designer and SAS Visual Data Mining and Machine Learning
Your team is using SAS® Visual Data Mining and Machine Learning software to build complex yet trustworthy models. You've probably even built internal tooling or automated pipelines to consume and use those models. However, often just as difficult as building good models is exposing them in ways that are useful to your consumers that is, making the models both available and approachable. Using Natural Language Studio from SAS, you can easily expose the models you’ve built to users in the most comfortable setting available: human language. Then, not only will those analytics be available at the edge of user clients (anywhere text is supported), but users will be able to ask questions, in natural language, about the insights they seek. This presentation looks at building a simple chat application that exposes a model built in Model Studio and shows how the output of that model can be used to interact with a user during a conversation. Specifically, it dives into the Natural Language Studio interface to build conversational flows that are directed at answering user questions by scoring models built in Model Studio.
Presenter: Chris Barefoot, SAS
Session ID: 4460
Topic: Analytics
Industry: Non-Industry Specific
Audience: Programmer, Researcher, Statistician/Biostatistician
Skill Level: Intermediate
Additional resources
Proceedings - Not Available
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