WEBINAR

Cloud-Ready Imagery for Distributed Teams: How to Consolidate, Cache, and Collaborate

Unlock the future of geospatial collaboration with our exclusive webinar, Cloud Ready Imagery for Distributed Teams: Consolidate, Cache, Collaborate, in collaboration with geoWeek News

Join GIS expert Matthew Plummer as he demystifies cloud-based imagery workflows and shares practical solutions to tackle bandwidth and storage headaches. Discover real-world strategies for efficiently managing and sharing massive geospatial datasets using AWS and Azure, and watch a step-by-step demo on transforming raw imagery into accessible, lightning-fast map layers for your entire team—no matter where you work. 

Whether you’re looking to modernize your operations, streamline data sharing, or enable seamless collaboration across agencies and organizations, this session delivers the insights you need to succeed in today’s cloud-first world. 

Don’t miss your chance to revisit the presentation and equip your team with cutting-edge cloud GIS strategies!

 

In today’s data-rich GIS environments, imagery is more valuable than ever—but only if it’s accessible, scalable, and easy to use. Whether you’re transitioning from on-prem storage or looking to optimize your existing cloud workflows, you’ll learn how to:

  • publish, manage and deliver imagery in the Cloud
  • improve your imagery performance
  • reduce costs associated with imagery
  • make high-quality data available across your organization
  • accelerate analysis
  • support collaboration
  • and set the foundation for AI and machine learning integrations
  1. 1.Historical Context and Initial Challenges4:13
  2. 2.Technical Solutions and Benefits7:15
  3. 3.Cloud Formation and Scripting23:20
  4. 4.Demo and Practical Application24:42
  5. 5.Collaboration and Distributed Collaborations43:07
  6. 6.Audience Q&A48:03
About the speaker

Matt Plummer, GIS Managed Cloud Technician

Matt Plummer has a strong background in Geography, GIS, and Big Data Science, with experience spanning imagery, navigation, and geospatial analytics. At Esri, he served as a Senior Support Analyst and founded the Super Python Solvers (SPYS) program to streamline Python-based case resolution and elevate team efficiency.

His expertise expanded at Mapbox, where he progressed from Technical Support Engineer to QA Engineer, leading quality initiatives for navigation products used by clients such as GM and BMW. Currently at ROK Technologies, Matt focuses on cloud-based imagery workflows, and has helped over 25 clients migrate, manage, and maintain their aerial imagery through scalable, cloud-hosted solutions.

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