
This video is from PAW Climate 2021 – the first ever conference on applications of machine learning to private-sector climate tech.
The goal of the conference is to draw more ML professionals to work directly on solutions to the climate crisis.
Conference overview: https://bit.ly/paw-climate-2021
Conference website: https://www.predictiveanalyticsworld.com/climate-tech-conference/2021/agenda/
Shabaz Patel, Director of Data Science, One Concern
https://oneconcern.com/
https://jobs.lever.co/oneconcern
Slides: https://drive.google.com/file/d/17yypCmbyTG037KbBVGQqiHi7Nqw4oQ4y/view?usp=sharing
Abstract:
Climate change is increasing the frequency and severity of natural disasters. Natural catastrophes impact all critical infrastructures, and their resilience is essential for businesses and cities to operate effectively and safely. At One Concern, we combine machine learning and hazard modeling along with ML operational tools to better model the impacts of natural disasters on these critical infrastructures. By taking advantage of modeling, we can understand these potential impacts sooner to plan for and mitigate them. This helps to make our communities more resilient. This session will cover how One Concern applies Machine Learning algorithms to Natural Disaster Modeling.
Speaker bio:
Shabaz leads the data science team at One Concern. His team focuses on building algorithms and models to capture possible impacts caused by natural hazards such as earthquakes, wind, and floods. Before One Concern, he was the co-founder and CTO at Datmo, working on versioning and deployment tools for Machine Learning Engineers and Data Scientists where they provided solutions to industries from finance to gaming. Over the course of his journey at Datmo, he worked on large-scale indexing of images and videos for multi-media search and offered these as APIs to enterprise users. Given strong synergies with One Concern’s AI technology and its noble mission, Datmo joined forces with One Concern. He received his M.S. degree in Artificial Intelligence from Stanford and B.S. degree at IIT. He worked with Prof. Silvio Savarese on Convolutional Neural Network architectures and their applications in object tracking in the Stanford AI Lab.
source