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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 Resource Hub for Data Professionals – https://www.sas.com/sas/offers/resour... Learn more about SAS Software Free SAS Online Training – https://www.sas.com/en_us/training/of... Contact SAS® – https://www.sas.com/en_us/contact.geo... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com/contact SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► / sassoftware Twitter ► / sassoftware LinkedIn ► / sas Blogs ► https://blogs.sas.com RSS ►https://www.sas.com/rss