Redlands, California—Esri, the global leader in spatial analytics, today announced that it will be hosting the twenty-first annual Esri Federal GIS (FedGIS) Conference, to be held March 20–21 at the Walter E. Washington Center in Washington, DC. All federal government agency workers are invited to join an anticipated audience of 3,000 attendees and share their experience in collaborating, innovating, and connecting their work using spatial analytics technology.
Esri founder and president Jack Dangermond will discuss how location intelligence can be used to derive a deeper understanding of complex issues through data, as well as how it enables collaboration to develop innovative solutions for government. He will be joined on the main stage by representatives from several leading organizations, including the following:
On Wednesday, March 21, Dangermond will lead a thought-provoking conversation with the Honorable Susan M. Gordon, Principal Deputy Director of National Intelligence at the Office of the Director of National Intelligence on the importance of connecting intelligence agencies through spatial analytics.
“It is always inspirational to attend this conference and hear how location intelligence has helped federal workers share information across agencies and connect to citizens,” said Jeff Peters, head of the national government sector at Esri. “Attendees will get a chance to hear directly from top government and technology leaders as they share their experiences collaborating, innovating, and connecting using spatial analytics.”
The conference is the site for announcements about the innovative use of Esri’s ArcGIS platform in federal, state, and local government. The latest enhancements to ArcGIS and ArcGIS Pro, along with updates on desktop and enterprise mobile app environments, will be shared.
Other organizations will be providing use cases and best practices during workshops throughout the two days of the conference. Learn more at esri.com/events/federal.
Join the conversation: @Esri @EsriFederalGovt #FedGIS