Improving Decision Making with Intelligent Applications

Empower your organization by unleashing the value of Intelligent Applications — Photo by Myriam Jessier on Unsplash


The “Deploy and Pray” Model

Figure 1 is an abstraction of the traditional means of interacting with a machine learning model — from the command line. This method introduces substantial friction into the workflows of non-technical end-users.

Standalone Applications and Embedded Dashboards

Figure 2 is a depiction of the use of a standalone application, in this case an instrumented dashboard, as the interface between an end-user and a machine learning model.

Intelligent Applications

Figure 3 shows the simplification of Intelligent Applications — the injection of machine learning model outputs into end-user applications empowers human decision makers without adding complexity to their currently existing workflows.




Making Applications Intelligent

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