IBM has launched a new tool to help enterprises track greenhouse gas (GHG) emissions across cloud services
The tool:
Now generally available, the AI-informed tool is designed to give clients access to standards-based greenhouse gas emissions data and help manage cloud carbon footprint across IBM cloud workloads.
A result of collaboration between IBM Research and Intel—the tool uses machine learning and advanced algorithms to help organizations identify emissions hot spots in their IT workload and provide insights for emissions mitigation strategy.
Key features:
Emission tracking: Customers can use filters to see and track GHG emissions associated with individual cloud services and locations, in accordance with the Greenhouse Gas Protocol.
Identifying GHG emissions hot-spots: Through monthly/quarterly or annual access to emission trends and patterns, customers can optimize workloads across locations to reduce emissions.
Leverage data for GHG emission reports: Clients can access the output and audit trails to help meet their reporting needs. The data can be integrated with IBM Envizi ESG suite3 for further analysis and reporting.
CEO perspective:
A recent market study by IBM highlights some key points:
1. 42% of CEOs said environmental sustainability is their top challenge over the next three years.
2. Organizations must balance high-performance workloads with sustainability, as 43% of CEOs use generative AI for strategic decision-making.
GM states:
“As part of any AI transformation roadmap, businesses must consider how to manage the growth of data across cloud and on-premise environments. This is especially critical today as we see organizations face increasing pressure from investors, regulators, and clients to reduce their carbon emissions,” said Alan Peacock, General Manager, IBM Cloud.
