Welcome to episode 99 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Markus Müller, Lead Data Science Engineer at UP42 in Berlin. UP42 brings together data from satellites with powerful analytics in one easy-to-use platform and marketplace. By detecting changes, monitoring trends and identifying objects, they are making it easy to not only see our planet but to understand it too by enabling people to access, analyze and understand Earth data.
Markus has worked in a variety of roles in the geospatial industry as a software engineer, researcher, trainer and technical project manager. For the last seven years, his focus has been on machine learning and computer vision. He provides hands-on technical leadership of the Data Science team at UP42 working on pre-processing and analysis of geospatial data with a strong focus on deep learning.
In the show, Markus will tell you about:
UP42’s work in geospatial algorithms and data
The role of Computer Vision at UP42
Challenges to solve in object detection & land cover segmentation
The importance of training data for creating their ML algorithms
Applying Deep Learning for Super-Resolution images
Tech used to optimise the performance of their algorithms
Upcoming trends that can further impact the industry
What did you make of Markus' podcast? Where do you see the future of Artificial Intelligence and Data Science heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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