What’s Next in Intelligent Automation at Federal Agencies

SCOTT DULMAN | February 12, 2020

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Intelligent automation combines Artificial Intelligence (AI), Robotic Process Automation (RPA), and Robotic Workforce Management (RWM) with workflow and low-code development to quickly deliver results. In the federal government, IT and program executives are using intelligent automation to modernize and transform programs and services. By adding the power of AI and RPA to their applications, agencies can dramatically improve operational efficiency, citizen experience, and staff engagement. Today more agencies are implementing RPA. RPA provides software “bots” to automate high-volume, repeatable tasks within legacy processes and applications. RPA helps to eliminate redundant data entry, improve data quality, and reduce errors. RPA also automates repetitive tasks, such as cutting and pasting data across systems, answering routine phone calls, and responding to common web queries and email requests.

Spotlight

City of Pleasanton

Pleasanton is a major suburb identified by the U.S. Census as one of the wealthiest middle-sized cities in the nation and was included on Money Magazine’s list of the ’50 Best Cities to Live 2014’ and on 24/7 Wall Street’s list of ‘America’s 50 Best Cities to Live’. Pleasanton ranked #31 on Money’s annual list of the Best Places to Live, and #9 on the publication’s list of the Top Earning Towns in the nation. The rankings were determined on the basis of variables such as crime, education, employment growth, recreation, infrastructure, environment and housing affordability.

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Spotlight

City of Pleasanton

Pleasanton is a major suburb identified by the U.S. Census as one of the wealthiest middle-sized cities in the nation and was included on Money Magazine’s list of the ’50 Best Cities to Live 2014’ and on 24/7 Wall Street’s list of ‘America’s 50 Best Cities to Live’. Pleasanton ranked #31 on Money’s annual list of the Best Places to Live, and #9 on the publication’s list of the Top Earning Towns in the nation. The rankings were determined on the basis of variables such as crime, education, employment growth, recreation, infrastructure, environment and housing affordability.

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