Get ready to dive into the fascinating world of data-driven decision-making! Join us as we explore the incredible impact of machine learning on data-centric operations and discover how it revolutionizes our understanding and utilization of geospatial intelligence. 

Through an exciting keynote presentation and a captivating panel discussion, we will uncover the optimal balance between human involvement and machine automation in producing and consuming data, particularly when machines take the lead. We'll share best practices and strategies for incorporating human decision-making and analysis to ensure responsible and ethical outcomes in our increasingly automated GEOINT landscape. 

Sub-themes within the program will examine the concept of a "person in the loop" and its significance in scenarios where the data is predominantly processed and consumed by machines rather than humans. We will explore best practices and strategies to effectively incorporate human decision-making, analysis, and oversight to ensure responsible and ethically driven outcomes. Additionally, the program will shed light on the critical aspect of data provenance—the origin, lineage, and credibility of data. We will delve into methodologies and frameworks that enable robust data provenance practices, ensuring transparency, reliability, and accountability.  

This is your chance to engage with thought leaders and practitioners from the GEOINT community. Don't miss out on this opportunity to expand your knowledge and contribute to the ever-evolving enterprise of data-driven decision-making. After the program, beat the Virginia summer heat with an ice cream social and seize the opportunity to develop new relationships and reconnect with colleagues from across the community.