IBM’s Environmental Intelligence (EI) platform is a groundbreaking tool that leverages AI and open-source geospatial and satellite data to provide curated environmental insights to application developers and data scientists. This cloud-based platform offers a suite of APIs that enable users to create applications addressing sustainability, climate change, and regulatory needs. With a focus on helping businesses manage financial risks associated with climate disruptions, IBM Environmental Intelligence offers geospatial data, advanced models, and AI insights to support organizations in addressing critical climate-related challenges.
David Blanch, the director of product management, ESG, and Environmental Intelligence at IBM, highlighted the platform’s roots in IBM’s research community of sustainability and climate scientists, who have been working on industry-specific and forward-thinking climate problems for several years.
The Environmental Intelligence platform offers a versatile API suite that simplifies the process of working with public satellite data by processing, normalizing, and organizing it into geospatial layers ready for analysis and visualization. The platform also features a foundation model co-developed with NASA for pre-processing and cleansing geospatial data. With access to high-resolution imagery, global weather data, and other valuable datasets, users can gain predictive insights for proactive decision-making.
One of the key features of the platform is the ability to access environmental and geospatial datasets seamlessly through easy-to-use APIs for real-time analysis. Geospatial-temporal querying allows users to analyze geospatial and temporal data using an advanced insights engine to improve application functionality. Additionally, the platform offers on-demand historical weather data for predictive modeling and optimization across various sectors, as well as advanced data querying capabilities for complex analysis on diverse environmental datasets.
IBM aims to target technical builders, developers, and data scientist communities with its Environmental Intelligence platform, as trends in the market indicate a growing need for innovative climate data solutions. Climate change impacts on business operations across various verticals have led to increased interest in accessing environmental intelligence data for applications ranging from environmental monitoring to disaster risk planning and carbon emissions tracking.
The platform provides access to open-source satellite imagery, meteorological data, and other datasets to support a wide range of applications, from regulatory compliance to precision farming. By automating greenhouse gas emissions calculations and offering advanced data querying capabilities, IBM Environmental Intelligence empowers organizations to make data-driven decisions to address sustainability challenges.
With a focus on expanding beyond traditional uses, IBM sees potential applications for Environmental Intelligence in diverse industries. Use cases in agriculture, compliance with environmental regulations, and animal growth monitoring demonstrate the platform’s versatility and impact on business operations. By providing easy access to curated environmental data sets and predictive modeling capabilities, IBM aims to empower organizations to embed environmental insights into their existing applications, models, and workflows.
Overall, IBM’s Environmental Intelligence platform represents a significant advancement in leveraging AI and geospatial data to address climate-related challenges and support sustainability efforts across industries. As organizations increasingly prioritize sustainability and environmental responsibility, tools like Environmental Intelligence play a crucial role in helping them make informed decisions and mitigate risks associated with climate disruptions.
