Implementing Agentic AI in Federal Government

Jamison joined Salesforce in 2021 and currently serves as the Vice President of Global Public Sector driving growth in Autonomous Agents (AI), Slack and Field Service for our Government Customers. He previously served as head of NATO and European Defense organizations to transform their citizen experience.

Before this role, Jamison spent 4 decades as a senior uniformed officer in the US Department of Defense. His last post culminated at European Command as the Chief of Staff and Senior Military Advisor to the Supreme Allied Commander Europe. In that capacity, he led the linking of Department of Defense and Department of State initiatives across a 51-country area of responsibility.

He was the first trailblazer into modernizing the Department of Defense and launched the inaugural cloud initiative with the Department of the Air Force in 2015. Along the way, he’s operationalized several high profile initiatives including linking the 2040 Strategic Plan to human capital and establishing the first Office of People Analytics leveraging big-data to drive $20B portfolio decisions.

He is an expert in Human Capital and operations previously serving as the head of Human Capital Transformation, the Human Capital Chief Digital Officer and the Human Capital Chief Information Officer.

Jamison graduated from Harvard University’s Executive Program and holds three graduate degrees in business, systems analysis and international strategy and is a recipient of the Defense Superior Service Medal and the Disney Innovation Award.

Dr. Amanda Bullock is an experienced Artificial Intelligence (AI) Lead at the Air Force Research Laboratory (AFRL), where she spearheads digital transformation and modernization initiatives in AI, machine learning, and advanced analytics. With a Bachelor of Science in Statistics from Eastern Kentucky University and a Master of Science in Applied Statistics from Wright State University, Amanda brings a robust foundation in statistical analysis to her work. She earned her PhD in Electrical Engineering from the Air Force Institute of Technology (AFIT) in 2013, specializing in Statistical Signal Processing.

Following her postdoctoral work in Non-Destructive Evaluation and Non-GPS navigation, Amanda taught mathematics, biostatistics, statistics, signal processing, and data science at Wright State University, Central State University, and AFIT. Her academic tenure included a prestigious Fellowship at the Army Research Laboratory, Aberdeen Proving Ground, where she contributed to research in the Survivability and Lethality Analysis Directorate, further solidifying her expertise in advanced analytics and AI.
In 2017, Amanda transitioned into civil service, serving as the Project Engineer for the LEGACY program, an Air Force internship initiative aimed at recruiting students in STEM. She subsequently led the Enterprise Architecture Modeling team in 2019 before becoming the AFRL Deputy Chief Data Officer in 2022.

Currently, Amanda is the AI Lead for the Digital Capabilities Directorate and the Strategic Advisor for Generative AI in AFRL, where she focuses on reducing business toil through AI, connecting AFRL, DoD, and industry AI efforts, and upskilling the workforce in AI/ML/Advanced Analytics. She has played a key role in launching some of the first experiments using Generative AI in the Department of the Air Force (DAF), and is actively involved in experimenting with and integrating commercial Generative AI tools across AFRL.

Amanda’s research interests encompass STEM education, Generative AI, Artificial Intelligence, Machine Learning, and Signal Processing. She is passionate about leveraging her expertise in AI and analytics to drive innovation and modernization within the Air Force and beyond.