This interactive, in-person course offers unparalleled networking opportunities and equips senior government leaders with the tools to transform AI challenges into actionable strategies. Throughout this intensive 2-day workshop, will explore the practical and strategic aspects of integrating AI technologies within their organizations. The course covers the essentials of AI implementation using a comprehensive 6D Framework to ensure a holistic understanding of how AI can drive innovation and efficiency in business processes.
This course is for senior US government leaders (GS 14-15, Military 05-06) who are tasked with integrating AI in their organization.
Senior US government leaders (GS 14-15, Military 05-06) who are tasked with the integration of AI in their organization.
Mr. Kevin Ligozio is the Chief AI Architect of the Asymmetric Operations Sector (AOS) of the Johns Hopkins University Applied Physics Laboratory (APL). AOS comprises approximately 1600 staff across three mission areas focused on advancing the nation’s ability to defeat the asymmetric threat, whether human-made or naturally occurring.
Areas of focus include countering weapons of mass destruction, mission autonomy, cyber operations, biological threats, and terrorism. Mr. Ligozio oversees efforts to achieve these goals through the advancement and utilization of data science and artificial intelligence. Previously, Mr. Ligozio served as the Technical Director and Assistant Group Supervisor of the Tactical Intelligence Systems Group within the AOS, conducting technical research, providing technical oversight and technical staff management for multiple AI programs focused on researching, developing, and integrating AI technologies into DoD tactical-edge platforms.
Mr. Ligozio is also an adjunct professor in The Johns Hopkins University Whiting School of Engineering’s Computer Science Master’s Program. He received a B.A. in Mathematics and Computer Science from the State University of New York at Geneseo and an M.S. in Computer Science from the Rochester Institute of Technology.
Dr. Jane Pinelis currently serves as the Chief AI Engineer of the Applied Information Sciences Branch at Johns Hopkins University’s Applied Physics Laboratory (JHU/APL). With a background in defense and national security spanning over 15 years, Dr. Pinelis has held various critical positions of responsibility. Before her current role, she served as the inaugural Chief of AI Assurance at the Chief, Digital and AI Office (CDAO) and the Joint Artificial Intelligence Center (JAIC) at the Department of Defense, where she oversaw the Test and Evaluation, as well as Responsible AI directorates. Dr. Pinelis holds a BS in statistics, economics, and mathematics, an M.A. in statistics, and a Ph.D. in statistics, all from the University of Michigan, Ann Arbor.
Dr. Christopher Ratto is the supervisor of the Artificial Intelligence group in APL’s Research and Exploratory Development Department and has over 15 years of experience applying AI/ML to problems in national security and
defense. The AI Group is comprised of over 40 scientists and engineers conducting foundational research in AI with potential for cross-mission impact, by working in performer and Government-team roles on 6.1-6.2 research programs and “inventing the future” for APL by experimenting emerging AI technologies and sharing lessons learned throughout the Lab. Prior to his current role, Dr. Ratto was a Program Manager in APL’s Sea Control Mission Area for Maritime Remote Sensing. His personal research interests include adversarial machine learning, generative AI, and remote sensing applications of interest to the intelligence community. Dr. Ratto holds a B.E.E. from The Catholic University of America, and an M.S. and Ph.D. in Electrical and Computer Engineering from Duke University.
2-Day Workshop
JHU Bloomberg Center
555 Pennsylvania Ave, NW
Washington, DC 20001
Wednesday, November 6
Thursday, November 7, 2024
$3,700 / person
Please complete the registration form below to enroll in this workshop. After you register, you will receive a confirmation email with details about the workshop. If you have questions before registration, please reach out to us. The cost for the workshop can be paid via Credit or Invoice.