GISCafe Guest Sanjay Gangal
Sanjay Gangal is the President of IBSystems, the parent company of AECCafe.com, MCADCafe, EDACafe.Com, GISCafe.Com, and ShareCG.Com. GISCafé industry predictions 2023 – TrimbleJanuary 19th, 2023 by Sanjay Gangal
By Gareth Gibson, Marketing Director, Mapping & GIS Solutions, TrimbleArtificial Intelligence/Machine Learning Systems Will Shape Future of GIS and Asset Management Industries The GIS industry is experiencing a period of rapid change and growth, and the increasing use of artificial intelligence and machine learning (AI/ML) is playing a crucial role in driving this development. By enabling GIS professionals to process and analyze data quickly and accurately, these technologies are helping to unlock the full potential of GIS and drive innovation and progress in the field. Powerful AI/ML Hits Mainstream When predicting trends in the GIS (geographic information system) industry in 2023, consider the major breakthroughs the IT industry experienced in 2022. Of particular interest are the AI/ML systems that burst into our collective consciousness, with several headline-grabbing products making waves.
One notable example is ChatGPT, the AI/ML-based artificial assistant application from OpenAI. ChatGPT can be accessed from any internet-connected device with a web browser and has an uncanny ability to provide human-like written responses to almost any form of text input. While the tool is currently only available as a research release, it garnered huge interest (millions of users around the globe) as early adopters found unique and interesting ways to interact with the tool. It’s been used for tasks ranging from intelligible responses to questions or prompts like “write an essay about the negative effects of COVID-19 on the semiconductor supply chain” to extracting complex information from unstructured data, like identifying patterns in unstructured text such as survey responses or newspaper articles on a topic. ChatGPT highlights just how far the field of AI/ML systems has come in a relatively short time. And because it is so accessible (all you need is a phone and an internet connection) it has significantly raised the profile of the technology, making everyone who tries it curious about the ways it may influence and change industries in exciting and unexpected ways. (While tempting, I can confirm ChatGPT did not write this article.) The term “AI/ML system” refers to the integration and use of machine learning techniques in the development of artificial intelligence systems and applications. Machine learning is a subfield of artificial intelligence that involves the use of algorithms and statistical models to enable systems to learn and improve their performance over time, without explicit programming. By combining AI and ML, it is possible to build systems that can learn from data and make “intelligent” decisions, as well as adapt and improve their performance over time. AI/ML has many applications in a wide range of fields, including computer vision, natural language processing, robotics and more. Data Analysis Impacts on GIS In the fields of mapping, GIS, and asset management, one of the greatest benefits of AI/ML systems will most likely come from the ability to process and analyze large amounts of data far more quickly and accurately than any human can. These technologies enable GIS professionals and asset owners to extract valuable insights and information from spatial and asset-based datasets previously too large or complex to analyze manually and quickly identify patterns. This results in more informed decisions and a better understanding of the world around us. Some real-world examples of how AI/ML systems are already in use in GIS solutions include:
These are just a few examples of AI/ML technologies driving innovation and progress in the GIS industry. The sophistication and capabilities of these tools will only improve and expand, enabling organizations to do more with their data to make more informed and accurate decisions. It is fascinating to watch this technology evolve to help and improve the way we work. Artificial intelligence/machine learning helps Trimble eCognition software recognize and classify features in satellite and aerial imagery, such as buildings, roads and vegetation. Source: Trimble About Author: Gareth Gibson is Marketing Director, Mapping & GIS Solutions at Trimble Inc. Category: GIS Industry Predictios |