Published Sep 11, 2019

AI Today Podcast #106: Intelligent Automation in the Public Sector: Intelligent Automation in the Public Sector: Interview with Keith Nelson, Automation Anywhere

Explore the transformative role of Robotic Process Automation (RPA) in the public sector with Keith Nelson from Automation Anywhere, as he delves into how RPA and AI technologies promise to enhance operational efficiency, safety, and sustainability while enabling government agencies to focus on strategic priorities.
Episode Highlights
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Episode Highlights

  • RPA Mechanics

    Robotic Process Automation (RPA) acts as a digital duct tape, seamlessly connecting complex IT systems without requiring major changes or expensive programmers. describes RPA as a plug-and-play solution for routine, repetitive tasks, freeing humans to focus on strategic work 1. The technology has been saving time and money across industries like banking, telecom, and healthcare for over 15 years.

    RPA is pretty close to a plug and play solution for any routine, repetitive, mundane process that currently a human or a lot of humans continue to do.

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    Today's RPA, enhanced with AI, offers even greater functionality, allowing public sector agencies to effectively implement AI initiatives while delivering mission services more efficiently 1.

       

    AI & RPA Integration

    The integration of AI with RPA creates intelligent automation, significantly enhancing operational efficiency. shares an example where Automation Anywhere's IQ bots work with Datarobot's machine learning platform to detect and prevent fraudulent transactions in government claims 2. This collaboration allows digital workers to organize data, train predictive models, and take necessary actions, reducing improper payments and saving taxpayer money.

    The more transactions you run through the system, the more accurately it detects fraud and saves taxpayer money.

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    Such intelligent automation not only improves fraud detection but also frees human workers to engage in more creative and analytical tasks, enhancing overall productivity 2.