Whether it’s borne out of a worker shortage being felt in many industries around the world, saving time for employees to complete more important and valuable tasks, or simply a desire to streamline workflows and become more efficient, companies in all sectors are investing more time and money into artificial intelligence (AI), machine learning (ML), and autonomy than ever before.
The geospatial industry is certainly no exception to this, which should come as no surprise given the vast amounts of data, coming from a variety of sources, that needs to be processed to derive maximum value. Processing said data can be an extremely tedious job in some cases for humans, taking time away from other tasks that need to be completed and in turn limiting the number and/or size of projects that can be done in a given period of time. Additionally, AI and ML are sometimes even able to pick up and flag issues that humans may have missed.
With all of that in mind, Geo Week 2023 will feature a session centered around all of this which explores how tools like AI and ML can be utilized in the geospatial field. The session, AI/Machine Learning Opportunities for Geospatial Data, will take place on Tuesday, February 14 at 2:00 PM MT. Thomas Haun, President at Turner Staffing Group, will be moderating the session, which will feature four short presentations followed by a roundtable discussion of all of the advancements and innovations in the space. Joining Haun will be:
David Jarron and Kevin Miller, Software Developer and CTO at Solv3d, respectively, will be leaning on their own personal experience utilizing AI and deep learning in the geospatial space. They’ll look at issues they’ve run into and how to overcome them, with examples including how to use deep learning to classify lidar data, and how to apply multiple frameworks to different datasets and combine the results.
Robert Carroll, Vice President of Product at Vexcel, will speak to the role ML can play in post-disaster recovery. He will delve into the work being done at Vexcel, in partnership with the Geospatial Insurance Consortium, to build tools in order to collect aerial imagery and classify damage using airborne sensors in conjunction with ML techniques.
James Young, Executive Vice President-Technology at Pointerra US, will look specifically at using AI and ML with data from lidar and remote sensing. He will discuss how these tools are currently being used in the utility sector, and what other industries can learn from how it is being used. He’ll also discuss how these strategies are used for emergency response, predictive growth modeling, asset inventory, and more.
Aaron Morris, CEO at Allvision, will be looking at using AI in GIS technologies. Specifically, he’ll be answering the questions of what can really be accomplished by leveraging this technology, and what is just hype at this point. Morris will lean on a real-world example from a New York City DoT case study to demonstrate how AI can work for city streets and improve mobility and infrastructure for one of the world’s largest cities.
Although there is a lot of interest in the geospatial industry and elsewhere around AI and ML, it’s still in its relative infancy as a tool. Questions remain about how much it can actually be relied upon for certain functions, and what those functions actually are.
The discussion portion of the session will aim to answer some of these questions and put professionals on the right path towards properly harnessing the power of these tools to derive the most value in the short- and long-term.