ARTIFICIAL INTELLIGENCE / MACHINE LEARNING PRIMER - Enabling AI/ML Innovation in the US Federal Government

Course Dates:  TBA

Time:  Tuesdays and Thursdays

Registration fee: 

  • Early Birds $2,250/per person by March 11th, 2022
  • Regular $2,500/per person
  • Government employee rate – Please email for a discount code 

Registration deadline: March 15th, 2022


    • Gil Alterovitz, PhD, FACMI, FAMIA, Harvard Medical faculty, Director of National Artificial, Intelligence Institute, US Dept. of Veterans Affairs
    • Sandy Barsky – Executive Program Director, Government and Education for Oracle America, Former GSA; Information Technology Leader and Artificial Intelligence (AI) Leader
    • Anil (Neil) Chaudhry - Director of Federal AI Implementations, AI Center of Excellence at GSA
    • Maurice D. Kugler - Professor, Schar School of Policy and Government 
    • Mike Rice - Co-Founder and Chief Operating Officer of CornerStone IT. I've spent the last 40 years providing information technology and program leadership supporting both industry and government
    • Frederic de Vaulx, Vice President of Prometheus Computing
    • Swathi Young - Chief Technology Officer, TechNotch Solutions; a keynote speaker, blogger, and community-builder

    Credits: Participants will receive a Schar School certificate of completion and earn 1 CEUs (Continuing Education Units). Please email for the CEUs application. 

    Executive Summary and Key Takeaways

    Artificial Intelligence is omnipresent in 2021 and beyond and leaders today need new tools and frameworks to discover, design, and deploy these technologies. Artificial Intelligence is not a linear journey – it is an unprecedented path with complex data patterns, the types of problems it can solve, and associated ethical concerns Artificial Intelligence raises. What is the cost of not considering new tools, strategies, and frameworks for implementing Artificial Intelligence? What can be done to implement Artificial Intelligence solutions that produce results?

    To be truly effective, we have to learn to understand Artificial Intelligence technology along with a discussion of relevant use cases. To implement effective Artificial Intelligence solutions, we need to uncover hypotheses that accelerate decision-making and discover insights from petabytes of data that moves the needle for the American people. This series of seminars is a way of unlocking the power of Artificial Intelligence using the frameworks to solidify your Artificial Intelligence strategy, identify ways to get started, and enable ethical evaluation of AI outcomes.

    Ready to enable the government and American citizens to leverage the power of AI ? This executive seminar will help you get there.

    Primer Scope

    This primer defines, describes, and demonstrates the capabilities of Artificial Intelligence (AI)/ Machine Learning (ML) and provides government and private sector audiences a basic overview of AI/ML technology and a set of definitions of basic terminology. The primer also provides examples of different needs AI can assist with, as well as example use cases for government organizations describing where AI/ML can help organizations automate operations and find new insights from their data. This primer is not meant to be a technical document. This paper does not provide a deep dive into the mathematical principles behind AI algorithms, or the computational techniques and languages commonly used by data scientists. This paper illustrates the benefits to be derived from applied AI/ML. For further understanding of Intelligent Automation, please refer to the Intelligent Automation Primer assembled by the American Council for Technology and Industry Advisory Council (ACT-IAC’s) Emerging Technology Community of Interest Intelligent Automation Working Group.

    Course Highlights and Features

    AI / ML is one of many new technologies entering IT operations. The technology can improve insights from the petabytes worth of structured and unstructured data retained by agencies. AI early adopters include many areas where analysts – without automation – must sift through tremendous amounts of data to find issues requiring attention. Figure 1 depicts the many diverse applications of AI techniques. Cybersecurity operations use algorithms that automate the search for network anomalies and patterns of behavior which may indicate a possible external cyber-attack or an insider threat. Autonomous vehicles identify vehicle threats based on identification of nearby objects by sensors. With cloud-based tools, an agency can easily stand up an AI pilot to prove the utility of this technology against a critical business problem.

    Figure 7: Artificial Intelligence techniques can assist agencies across many diverse business areas where large amounts of data makes it difficult for analysts to identify trends and new needs
    Figure 7: Artificial Intelligence techniques can assist agencies across many diverse business areas where large amounts of data makes it difficult for analysts to identify trends and new needs

    The primer is aimed for professionals in all government sectors and industries impacted AI / ML technologies. These insights can assist organizations to improve citizen services, reduce waste and fraud, improve acquisition outcomes, and identify potential security threats. Agencies must carefully plan their AI / ML transformational journey and adoption to better realize the technology’s potential to meet their mission objectives.

    Topics covered in this five-week course over 10 sessions include the following:

    Week 1 (March 15th and March 17th ): 

    1. Primer for AI - define, describe, and demonstrate the capabilities of AI / ML
    2. “If you can't describe it“ - use case: illustrates the applications of AI / ML

    Week 2 (March 22nd and March 24th):

    1. “Not every thing is a nail“ - assessment: qualify and quantify the benefits derived from AI / ML
    2. “Think before you go“ - readiness and EAAI (Engineering Applications of Artificial Intelligence): explore the benefits to be derived from AI / ML

    Week 3 (March 29th and March 31st):

    1. Readiness and EAAI: identify if the cost benefit of AI / ML application warrants the investment
    2. Acquisition Plan Selection of actual solutions: which capabilities provide the best benefit to the organization?

    Week 4 ( April 5th and April 7th):

    1. Selection of actual solutions – identify if the technological maturity and organizational advocacy are ready
    2. Implementation & integration – programmatic approach to apply AI / ML and operationalize it

    Week 5 (April 12th and April 14th):

    1. Implementation & integration – systematic approach to apply AI / ML technologies into current systems
    2. Exercise; case study; certificate session – verify/validate functionality to produce product or desired outcomes
      Photo of Gil Alterovitz

    [60 minutes per session; two (2) sessions per week for five (5) weeks. Spring 2022] 

    About the Instructors

    Gil Alterovitz, PhD, FACMI, FAMIA, Harvard Medical faculty, Director of National Artificial, Intelligence Institute, US Dept. of Veterans Affairs.

    Photo of Sandy Barsky

    Sandy Barsky previously served at the Department of Veterans Affairs (VA) National Artificial Intelligence Institute (NAII) working on the Artificial Intelligence (knowledge) Certification Service Management, the AI and the Brain Forum, National Use Case & Solutions Library, and supporting the AI Tech Sprints. He delivered the first end-to-end paperless contract/task order system. He is one of the lead authors of the ACT-IAC AI Primer, Playbook, Ethical Application of Artificial Intelligence Framework, and other papers and frameworks designed for use by government. After nearly 40 years of government service Sandy moved on as the Executive Program Director for Government and Education for Oracle America.

    Photo of Anil (Neil) Chaudhry

    Anil (Neil) Chaudhry  Anil Chaudhry has over 20 years of progressive leadership experience in technology delivery, operations, and program management in the defense, intelligence, and national security sectors. As a core member of the Artificial Intelligence CoE, Chaudhry advises federal agencies on establishing mature data governance and management practices, developing innovative approaches for leveraging data as a strategic asset, and laying the foundation for advancing data discovery, access, and use through artificial intelligence and machine learning. Prior to joining the CoE, Chaudhry served in critical leadership positions within US Customs and Border Protection and as a Presidential Management Fellow (PMF) at the Defense Business Transformation Agency. Chaudhry served as an enlisted soldier in the U.S. Army Chemical Corps and as a commissioned officer in the U.S. Army Transportation Corps. Chaudhry was one of three DHS employees selected to attend the National War College in 2016 as part of the DHS Senior Succession Management Program.

    Photo of Maurice D. Kugler

    Dr. Maurice D. Kugler is a Professor of Public Policy in the Schar School of Policy and Government at George Mason University, with research expertise on the role of new technologies in boosting economic growth and labor productivity (aka endogenous growth theory). His work encompasses analyses of productivity growth, global labor markets, foreign direct investment, global value chains, human capital formation, international trade, and international migration.

    Kugler was Head of Research of the Human Development Report, the UN’s annual flagship publication on international economic development after he was Senior Economist at the World Bank. Prior, he was Visiting Professor of Public Policy at the Kennedy School of Government and Research Fellow at the Growth Lab of the Center for International Development, both in Harvard University (2006-2010).

    His research has been widely published in top economics academic journals, including the American Economic Review, Economic Development and Cultural Change, Economics Letters, Journal of Development Economics, Journal of Human Resources, Journal of Public Economics, Review of Economic Dynamics, Review of Economics and Statistics, Review of Economic Studies, and the World Bank Economic Review. This work has been recognized in awards (McTaggart at LSE and AEA/FRB at UC Berkeley), grants (NSF, MacArthur Foundation and UK Economics and Social Sciences Research Council) and prizes (Global Development Forum and Latin American and Caribbean Economics Association).

    Photo of Mike Rice

    Mr. Mike Rice brings over 40 years of experience in Business Development, Program Management, Service Delivery, and Information Technology for both the private and public sectors. He is the author of "In Pursuit, A Business Development Life Cycle," "In Pursuit, Coaching Orals," and co-author of "The Billion Dollar Secret."  He has engineered specialized hardware devices, developed operating systems, communications protocols, and architected enterprise-wide solutions supporting government mission portfolios.  Supporting GSA for over 20 years, Mr. Rice was privileged and honored to support three Presidential Transition Teams.  His primary focus, over the past decade, has been in business development.  He is an engineer by trade and a teacher by nature.  The engineer in him strives to learn how this Business Development mechanism ticks. The teacher in him is excited to share what he's discovered, understood, and mastered. Thus, the "In Pursuit Business Development Life Cycle" book series. Mr. Rice maintains his technical acumen, influencing, and establishing standards in implementing and integrating emerging technologies across the IT landscape. He is currently assigned to a joint government and industry integrated project team to streamline the government acquisition life cycle leveraging these same emerging technologies

    Photo of Photo of Frederic de Vaulx

    Frederic de Vaulx is the Vice President of Prometheus Computing, a small business supporting Federal Agencies with custom software development and emerging technology strategy, where he leads the development of the company’s vision, innovation and strategy. He is also a Senior Software Engineer and Program Manager overseeing the design, architecture and development of custom software applications for Prometheus’ federal and commercial clients. In addition, Frederic is The CTO at Value Technology Foundation, an emerging technology 501(3)(c) Think Tank. Frederic has more than 15 years of experience in software engineering and emerging technology innovation. He is a member of ACT-IAC where he is the industry vice-chair of the Emerging Technology Community of Interest and is one of the leaders of the AI working group that published an AI primer and AI playbook to help Federal AI adoption. 

    Photo of Swathi Young

    Swathi Young is a keynote speaker, blogger, community-builder and Chief Technology Officer, TechNotch Solutions, a healthcare services company, where she is leading innovative AI solutions for clients. In her 20+ years of technology experience, she has led over 100+ projects globally - Belgium, India, and the United States across a number of Fortune 100 companies like GE and Oracle. Swathi is passionate about using cutting edge, AI technologies to increase the performance of organizations. She believes that the intersection of AI and humanities is important to focus on as we lay the foundation of AI applications for future generations. In 2020, Swathi was selected to be a member of the Forbes Technology Council, where she shares her expert insights in original business articles on

    Outside of the office, Mrs. Young is a brand ambassador for Women in AI, an international non-profit organization whose goal is to increase diversity in AI. She recently co-authored the Ethical AI framework, a framework to help federal agencies evaluate the ethical outcomes of AI products. She previously co-authored the AI playbook, a framework for implementing AI systems.