FTA Awards ICF $13M for Digital Transformation

ICF Will Apply Machine Learning and Artificial Intelligence to Automate National Transit Database

The Federal Transit Administration (FTA) has awarded global consulting and digital services provider ICF (NASDAQ:ICFI) two new call orders to automate and modernize the National Transit Database (NTD). The orders, which were issued under the U.S. Department of Transportation Software Engineering Support blanket purchase agreement awarded to ICF in March 2020, have a combined value of $13 million. Each has a term of five years, including a base year and four one-year options. 

ICF will deploy Appian’s low-code/no-code platform to harness the power of artificial intelligence and machine learning (AI/ML). This will help FTA automate its business processes and workflows, reduce redundancies, promote cost efficiencies and improve the quality of the NTD’s data assets. 

The NTD tracks information about the financial, operating and capital asset condition of America’s transit systems. It is used by the FTA to distribute billions of dollars annually to support local, state and regional transit projects and programs and is a critical resource to the nation’s infrastructure planning and operations. 

“We understand FTA’s data needs and created a purpose-built team to help the agency transform critical programs,” said Mark Lee, ICF senior vice president and public sector lead. “Our AI/ML approach will provide FTA with better data visibility, analysis and tracking that reduces the risk of human error and creates much greater efficiencies. Our hyper automation approach will lead to better decision-making around infrastructure priorities.” 

One of the largest Appian implementation practices in North America, ICF provides deep domain expertise and digital, cyber and cloud-based platform services that drive transformative change. The company’s innovative approach combines the best of advanced analytics, industry expertise and enterprise technologies to build agile solutions that meet clients’ changing needs. 

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