Customer Company Size
Large Corporate
Country
- United States
Product
- Google Earth Engine
- Google Cloud
- Carbon Sense suite
- Google Cloud's Carbon Footprint tool
Tech Stack
- AI
- Machine Learning
- Geospatial Analytics
- Cloud Technologies
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Environmental Impact Reduction
- Cost Savings
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Big Data Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Recycling & Waste Management
- Transportation
- Utilities
Applicable Functions
- Business Operation
- Logistics & Transportation
Use Cases
- Fleet Management
- Predictive Maintenance
- Remote Asset Management
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
The article discusses various companies and organizations leveraging AI and cloud technologies to address climate change challenges. These include Google, which is using its Earth Engine for global monitoring of deforestation and marine activities, and companies like Palo Alto Networks, HSBC, and Swiss Re, which are using Google Cloud to measure carbon emissions, assess climate risks, and optimize operations. The article also highlights partnerships with organizations like the Forest Data Partnership and Global Fishing Watch, which use geospatial analytics to monitor environmental impacts. These companies are large corporates with a global presence, focusing on sustainability and environmental impact reduction.
The Challenge
Climate change is a significant challenge that requires innovative solutions to drive impact at a global scale. The need to process vast volumes of data generated by various industries is crucial for making better decisions about climate mitigation and adaptation. The combination of AI and cloud technologies offers the potential to unlock solutions that can be transformational and global in scale. Examples include monitoring deforestation risks, understanding human impact on seas, and optimizing business operations for sustainability.
The Solution
The solution involves using AI and cloud technologies to process large volumes of data, optimize complex systems, and develop new business models. Companies are using AI-powered insights to monitor sustainability targets, de-risk investments, and improve transparency. Examples include Palo Alto Networks tracking carbon emissions, HSBC using a credit ranking tool for climate risk scenarios, and Swiss Re using AI for flood modeling. Additionally, businesses are optimizing operations and supply chains for energy efficiency and cost reduction, as seen with Geotab managing data for fleet vehicles. Companies are also identifying cleaner business models, such as Recykal's circular economy marketplace and Einride's electric, self-driving vehicles. Finally, businesses are building more sustainably by using tools like Google Cloud's Carbon Footprint tool to track emissions and implement strategies to reduce their environmental impact.
Operational Impact
Quantitative Benefit
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