According to analyst firm Gartner, 75 percent of enterprise-generated data will be created and processed at the edge by 2025; allowing agencies to make real-time, accurate decisions where it matters the most. The challenge is that while inferencing at the edge is becoming more common, large-scale AI and machine learning workloads still aren’t typically completed at the edge. They’re sent back to a core data center for processing, adding significant time to create and deliver results. Join this session to learn how KubeFrame, an open-source solution that combines portable hardware, powerful open-source software, and industry-leading security makes real-time AI-driven edge processing a reality. We’ll share technical details and explore use case examples from military operations, smart cities, crisis response, and healthcare centers.

Computing at the edge offers faster response times and better security by sorting through information, pulling out what is meaningful, and relaying that intelligence back to the mission teams in a fraction of the time. Learn how to overcome logistical challenges with data management, analysis, security, and networking at the edge to set your agency up for success.