Time for Time Series - 11 August 2022
Green AI: the Carbon Footprint of Machine Learning
Increases in the amount of data that is tracked and stored, increases in computational capacity, and decreases in the cost associated with both data storage and computational power have allowed Machine Learning to evolve from an academic inspiration to a practical superpower.
There’s a flip side to every coin though: the impact of Machine Learning on energy consumption is non-trivial. What can we learn from this, and how do different techniques differ in their carbon footprint?
Time for Time Series dives into specific features and looks at general functionalities in TIM, as well as covering many topics related to time-series analysis. We welcome everyone, from managers to data scientists, to get to know TIM and to ask your questions to our experts during the live Q&A.