Toward Federally Aligned Green AI: Reducing Data Processing Time and Carbon Emissions with Sustainable Vendor-Marketplace Architectures

Abstract

Data Vendors and data marketplaces are seeing increasing adoption in research and marketing analytics. The carbon footprint of AI has increased rapidly as its adoption has increased, with data processing and data storage contributing to the majority of the impact of AI on the environment. In this paper, we can explore how data vendors and data marketplaces can play a key role in helping reduce the carbon footprint of AI by reducing the amount of data processing by using existing datasets or pre-processed data and can make the whole process not just leaner but also good for the environment. We also discuss how data vendors and data marketplaces can use sustainable practices to further help reduce the impact of AI on the environment.