As sensors are getting smaller, cheaper and more efficient, data collection is no longer limited to high-end users. It can now be done from a variety of commodity platforms such as commercial drones, consumer automobiles and even the phones in our pockets. We are now collecting more data than humans can interpret manually, and we are looking to AI and live location analysis to help us generate meaningful insights from all that information.  In this forum, Anthony Calamito will discuss several methods being used to automate the analysis of mass quantities of data in mapping.

Bio

Anthony serves as the Vice President of Products for Enview, helping to define requirements and capture feedback to ensure software solutions meet customer needs. This often includes providing feedback to engineering, ensuring customer success and optimizing go-to-market to maximize brand awareness. He has 16+ years of experience in the geospatial industry, a large majority of which has been supporting the Defense & Intelligence community. He is also the co-founder of Geo261, a consulting firm founded to help customers understand and apply location-based technologies and tradecraft best practices to meet mission needs. In his past, Anthony was the Director of Government Programs at Mapbox, Chief Geospatial Officer and VP of Products at Boundless Spatial (now Planet), and Solution Engineering lead at Esri. Anthony is a Fellow with the American Geographical Society and a former Steering Committee Member of LocationTech, part of the Eclipse Foundation, which fosters, promotes and houses open source location aware efforts in the geospatial community. He currently serves on the Center for Geospatial Analytics’ External Advisory Board. A native of New Jersey, Anthony earned his bachelor’s degree in Geography from The Pennsylvania State University and now calls North Carolina home.