One of the strengths of artificial intelligence is its ability to learn by experience, collecting and processing massive amounts of structured and unstructured data sets and intuiting connections that humans are generally unable to discern. This results in the recommendation of specific actions based on conclusions reached by AI.
Companies and organizations that participate in carbon-related projects and initiatives can benefit from artificial intelligence (AI) in three distinct ways:
AI-driven data engineering can autonomously track carbon emissions throughout organizations’ carbon footprints. Data can be collected throughout organizations’ entire value chains, including materials suppliers, transporters, and downstream users of products.
AI also leverages data collected from advanced sources, including satellites and drones, to layer intelligence onto existing data sets. In doing so, AI can calculate accurate approximations where data are missing, and estimate levels of certainty regarding results.
AI can accurately forecast and predict future emissions across organizations’ carbon footprints by evaluating historical and current reduction efforts.
Combined with new and evolving carbon reduction technologies and projections regarding future demand, organizations can utilize these predictions to establish, modify, and achieve reduction targets more accurately.
AI can provide detailed data and insight into nearly every aspect across the carbon value chain. Specifically, AI’s prescriptive capabilities can result in optimization that improves efficiencies related to production, transportation, and other areas across the value chain.
This can lead to a reduction in overall carbon emissions and reduce costs across organizations that successfully incorporate AI into their activities.
It is predicted that AI-related technologies’ contributions to carbon reduction will increase annually and result in a total carbon reduction of tens of billions of tons by 2050.
Our artificial intelligence solutions contribute to organizations’ abilities to monitor, predict, and reduce emissions.