Set the stage through a customer analytics use case and walk through a dashboard detailing a customer churn problem. In the labs, users interact with a web application before adding artificial intelligence (the “before” view) and then interact with the same web application after adding artificial intelligence (the “after” view.) Users will analyze the resulting cost and benefit that an analytics modernization project with a deployed machine learning model will bring to the business over time.
Deploy & Infuse
AudienceThis event is targeted for Chief Data Officers, Data Scientists, Business Analysts, Data Engineers, Data Stewards, and anyone interested in improving their “time to value” by gaining insight from data and streamlining the process of automating machine learning model creation and deployment for AI infused applications.More information can be found here.