• By The Financial District

AI-Driven Software For Environmental Intelligence, Sustainability, And Climate Risk By IBM

IBM (NYSE: IBM) has announced a suite of environmental intelligence software that leverages AI to help organizations prepare for and respond to weather and climate risks that may disrupt business, more easily assess their own impact on the planet, and reduce the complexity of regulatory compliance and reporting.

Photo Insert: The IBM Environmental Intelligence Suite includes new climate risk layers that provide data and visualizations on future risks.

Companies are facing climate-related damage to their assets, disruptions to supply chains and operations, as well as increasing expectations from consumers and investors to perform as an environmental leader.

Extreme weather, climate action failure, and human-led environmental damage were cited as the top three most likely risks for businesses over the next ten years in the World Economic Forum's "Global Risks Report 2021."

Businesses need actionable environmental insights to address these challenges, but current methods are often cumbersome and complex – requiring intensive manual labor, climate and data science skills, and computing power.

The IBM Environmental Intelligence Suite announced today aims to help companies streamline and automate the management of environmental risks and operationalize underlying processes, including carbon accounting and reduction, to meet environmental goals.

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The suite leverages existing weather data from IBM, the overall most accurate provider globally, advanced geospatial analytics already in use by companies around the world, and new innovations from IBM Research.

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The offering is the first to bring together AI, weather data, climate risk analytics, and carbon accounting capabilities in this way – allowing organizations to spend less resources curating this complex data, and more on analyzing it for insights and taking action to improve their operation.

This report was originally released on PR Newswire.

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