Real-Time Decision Making with Edge To Cloud
Episode description
Analyzing data to make mission-critical decisions used to take days or weeks, but now edge to cloud operations have reduced this time to hours if not minutes. With edge to cloud, decision making is moved to the edge where data is collected and allows the data to rapidly transit to link the mission space to the cloud.
Derrick served in the U.S. Army in the intelligence domain and was deployed on several overseas missions, and he is now Director of Digital Modernization at Leidos.
“My focus has moved from working with customers, to facilitate intelligence collection and analysis, to building out mission systems that actually enable customers to exploit data and make sense of threat information.”
Derrick has come full circle bringing his career journey to a place where he can now offer capabilities to the modern warfighter. Working with Leidos for the last decade, Derrick is responsible for leading the corporation’s edge computing to cloud strategy and creating an edge to cloud ecosystem.
To find out how edge to cloud can be used across multiple verticals and use cases to collect, process and analyze data in near real time, don’t miss this episode.
“As our world becomes increasingly more connected, [edge to cloud] is forming that electric grid, if you will, of data as it's going from devices to the cloud, and back.”
On today’s podcast:
- The definition of edge to cloud
- How edge to cloud accelerates innovation and digital modernization
- The capabilities included in the edge to cloud ecosystem at Leidos
- The importance of edge to cloud operations across sectors
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