Artificial intelligence, using the data from complex systems that have been gathered from a variety of sources, combined with predictive analytics, and machine learning technology, is being used by many agencies in creative ways to analyze data, determine patterns, and project outcomes. Government applications of AI are proliferating, and a growing number of federal agencies are exploring the applications of AI to their organization’s core missions and operations. ACT-IAC is assisting the Government by providing insight on how AI can enable them to better meet their mission.
Intelligent Automation marries artificial intelligence—including natural language processing, machine learning, and machine vision—with automation. This convergence of technologies produces automation capabilities that dramatically elevate business value and competitive advantages. It is already helping companies transcend conventional performance tradeoffs to achieve unprecedented levels of efficiency and quality.
The White House recently issued an executive order on Maintaining American Leadership in Artificial Intelligence (February 11, 2019.)
- The ACT-IAC Artificial Intelligence Playbook (Published January 22, 2020)
- The ACT-IAC AI/IA Forum (January 22, 2020)
- The ACT-IAC Intelligent Automation Playbook. Volume 1: RPA. (Published October 30, 2019)
- The ACT-IAC Artificial Intelligence/Machine Learning Primer serves as a foundational tool in the understanding of artificial intelligence and machine learning (AI/ML) technology and, through the use cases, reveal how they can be applied to benefit the federal government and improve the lives of American citizens. (Published March 12, 2019)
- The ACT-IAC Intelligent Automation Primer explores how government agencies can automate manual activities -“the hand work” -- and shift workers to “the head work.” Intelligent automation will free workers to focus on tasks requiring their human strengths such as intelligence, reasoning, judgment, and empathy. (Published January 31, 2019)
- ACT-IAC Artificial Intelligence and Intelligent Automation Forum (January 16, 2019)