AI, not Excel: Using ChatGPT for environmental data analysis

Preamble:
This session will share learnings from some exploratory data analysis and automation of environmental data using ChatGPT.

Session summary:
In this presentation, Matthew will showcase some of the practical AI use cases he has developed for environmental data using ChatGPT, drawing from his own experience and insights from his peers. These examples aim to illustrate the potential of AI as a valuable part of your data exploration and automation toolkit, possibly saving time and sanity from performing similar processes in Excel!

Our speaker:
Matthew O’Brien - Freelance Environmental Consultant
Matthew is an experienced freelance environmental consultant with a background in hydrogeology, contaminated land assessment and remediation, aquatic ecotoxicology, and hydrographics. His career has been marked by a keen interest in leveraging technology to enhance the impact and efficiency of environmental work.
Committed to exploring the integration of AI into everyday tasks, Matthew aims to streamline data analysis and technical report generation within environmental consulting. Despite the current hype around AI, his recent experience guiding leaders on AI usage has revealed that the environmental sector is still in the very early stages of adopting this technology. Matthew believes that the key to widespread AI adoption will be identifying highly relevant use cases that demonstrate immediate, tangible benefits.