talk-data.com
Speaker
2
talks
Carly is a data scientist, computational chemist and machine learning engineer. She obtained her M.S. in chemistry from the University of Colorado focusing on computational quantum dynamics. She has authored multiple peer-reviewed publications and holds two non-provisional machine learning patents. When she isn't writing about herself in the third person, building mechanical keyboards or neglecting the oxford comma, she works as a public speaker, author and content creator focusing on AI.
Bio from: Big Data LDN 2025
Talks & appearances
Showing 2 of 8 activities
What the rest of the world can learn from gaming’s data-first approach to AI adoption.
Gaming pioneered many of the AI foundations we rely on today, from GPUs to reinforcement learning. It continues to drive innovation, but it has also built a strong resistance to hype. This session explores how gaming teams evaluate, deploy, and reject AI solutions with a discipline other industries can learn from.
What the rest of the world can learn from gaming’s data-first approach to AI adoption.
Gaming pioneered many of the AI foundations we rely on today, from GPUs to reinforcement learning. It continues to drive innovation, but it has also built a strong resistance to hype. This session explores how gaming teams evaluate, deploy, and reject AI solutions with a discipline other industries can learn from.