Accelerating AI Adoption for DoD Decision Advantage

Abstract: 

This talk will provide an overview of the DoD's Chief Digital and AI Office and the strategic approach being pursued to accelerate the adoption of data, analytics, and AI for decision advantage. Aspects of global competition will be discussed in the context of rapid technology innovation and challenges and approaches to leveraging AI in the department will be considered. A model of a digital ecosystem that includes partners from industry, academia, and across the government, leverages agile experimentation, capability assurance and operational monitoring to chart a path forward and address current impediments to modernization, including the "valley of death." Special focus is paid to Generative AI and its implications for MLOps pipelines and department innovation uptake. In particular, CDAO's LLM Maturity Model will be discussed as a way to align department needs in generative AI with Industry capabilities and drive assured use forward.

Session Outline:

Attendees will become familiar with the DoD CDAO's strategic approach to accelerating the adoption of data, analytics and AI across the department, including awareness of the challenges and approaches to transforming the department.

Bio: 

Dr. William W. Streilein is the Chief Technology Officer for the Chief Digital and AI Office of the DoD, providing strategic awareness, direction and leadership for enterprise scale data, analytical and AI capabilities.

Prior to his current role, Bill worked at MIT Lincoln Laboratory where he served as principal staff in the Biotechnology and Human Systems Division. He supported efforts across the division focusing on concept, strategy, and program development in bioengineering, bioinformatics, and biodefense and leveraged his technical and leadership experience to emphasize the application of artificial intelligence (AI) and machine learning to solve national biosecurity, health, and human performance challenges. Bill was also the leader of the Cyber Analytics and Decisions Group, where his research interests focused on cyber security, passive network and traffic analysis, streaming analytics, and computer vision. Prior to MIT Lincoln Laboratory, Streilein spent nine years working as a software engineer within the private sector.

He serves as a chair of the Artificial Intelligence for Cyber Security (AICS) and Robust Artificial Intelligence Systems Assurance (RAISA) academic workshops and is a senior member of the Institute of Electrical and Electronic Engineers (IEEE) and an active member of the Association for the Advancement of Artificial Intelligence (AAAI). Bill is a recognized leader in areas such as machine learning, artificial intelligence, cyber security, and statistical analysis. Dr. Streilein holds a BA degree in mathematics from Austin College, an MM degree in electronic and computer music from the University of Miami, and a PhD degree in cognitive and neural systems from Boston University. He is a senior member of the IEEE. He has been at Lincoln Laboratory since 1998.

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