Recently, GEO Jobe explored image-based neural networks with GIS technology and maps. Convolutional Neural Networks, or CNNs, are a machine learning application that utilizes imagery to train a model to detect and classify objects in other imagery datasets. “Computer vision (CV) enables computers and systems to derive meaningful information from digital images, videos, and other […]
Tag: machine learning
GeoAI and You: Modelling and Datasets
Last August, we covered some of the highest-level concepts about GeoAI in an attempt to demystify it. If you haven’t already, I recommend reading that article before continuing. If you already have, welcome to part two of the series! We’re happy to have you. Today, we’re going to be digging into what goes on “under […]
GeoAI and You: The Future of GIS, Today
As a geospatial professional in 2020, it’s nearly impossible to avoid being exposed to the ideas of AI, machine learning, and deep learning. Projects utilizing these technologies have been at the forefront of articles, panels, and presentations — often displayed proudly on stage during conferences and other events (virtual or otherwise). What is interesting to […]
Industry Outlook Video – David Hansen Discusses the ArcGIS Platform, Machine Learning, Drones & the GEO Jobe Road Map
GEO Jobe’s VP of Product Development, David Hansen, sat down earlier this year at DevSummit to discuss the GEO Jobe roadmap, the ArcGIS Ecosystem at 10.5 onward, industry trends, and growth potential in the traditional GIS and mapping industry.