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DMVs are evolving to become more virtual and connected. They have access to a variety of data sets from basic licensing, vehicle registration, violation and accident records to information about service usage across channels (mobile devices, web based and in-person), and new sources like data from IoT/connected devices and customers’ online behavior.
An automated data-science platform can help DMVs manage this multi-format and multi-type data end-to-end and deliver AI-driven next best actions to all the stakeholders. The platform’s advanced data science capabilities enable DMVs to focus on how data can inform and support their ability to predict and prepare for unforeseen situations, customer service improvement, and generate operational insights.
This paper discusses how DMVs can use AI to deliver more proactive, personalized data-driven service.