Generative AI has created a different landscape and a different way to do something that investors are considering,. They need to look at it differently because what it did was democratize technology significantly. Everyone now has access to similar resources, these incredible resources. If you're using OpenAI APIs, everyone can grab these APIs and grab this amazing stuff. So the barrier from a technology perspective has been lowered significantly but gap between the available talent and required expertise is still wide enough to hamper the real traction in the application of GeoAI & GenAI in the fields like Oil & Gas, Energy & Utilities, Manufacturing and Healthcare. Geospatial Artificial Intelligence (GeoAI) combines innovations in spatial science, AI methods in machine learning, data mining, optimization, and high-performance computing to extract knowledge from spatial big data. Combining NLP techniques with existing geographic methodologies and knowledge can enhance productivity and relevance of many geospatial applications currently in use today.
The current AI renaissance will create a general awareness and acceptance of technologies like Pattern Recognition, ANN, Deep Learning and Big Data based analytics which was earlier limited to scientific and research organizations. IT companies will learn that present model of talent development and trailing is not enough to tackle the domains which require deep learning of subjects like mathematics and modeling too apart from the usual IT skills employed in the IT support and maintenance projects. Very soon by 2025, dust of GenAI Hype will settle down and make way for talent discovery to increase in productivity.
Thanks,
Ajay S
