When making financial decisions, it’s important to see the big picture, whether it’s from drones, satellites, or AI-powered sensors.
The emerging field of spatial finance is using AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms, and businesses analyze risks and opportunities to enable new services and products. , helps measure the environmental impact of its holdings and assess post-crisis damage. .
Spatial finance applications include asset monitoring, modeling energy efficiencytrack emissions and pollution, detect illegal mining and deforestation, and analyze natural disaster risks. NVIDIA AI Software and hardware help industries combine business and geospatial data to accelerate these applications.
A better understanding of the environmental and social risks associated with investments will enable the financial sector to choose to prioritize risks that are more likely to support sustainable development. This is a framework known as Environmental, Social and Governance (ESG).
Growing focus on sustainable investing: A Bloomberg Intelligence Analysis It is estimated that by 2025, ESG assets will represent more than one-third of total assets under management worldwide. A report by the European Union Space Program Agency predicts that the insurance and financial industries will be the largest consumers of Earth observation data and services over the next decade, with total revenue exceeding $1 billion by 2031.
several members of NVIDIA Inceptionis a global program to help cutting-edge startups use GPU-accelerated AI applications that can track water pollution near factories, quantify the economic risk of wildfires, assess post-storm damage, and more. and promote these initiatives.
Powerful computing for big data
GPU-accelerated AI and data science can quickly extract insights from complex unstructured data, enabling banks and enterprises to enable real-time streaming and analytics of data captured from satellites, drones, antennas and edge sensors. You can set the.
By monitoring aerial imagery freely available from public space agencies, or at higher granularity from private companies, analysts can determine how much water is being used over time from reservoirs, construction Get a clear picture of how many trees are being cut down for How many homes were damaged by the project or by the tornado?
This capability helps audit investments by verifying the accuracy of written records such as government-mandated disclosures, environmental impact reports, and even insurance claims.
For example, investors may track the supply chain of a company that reports that it has achieved net zero on its production line, and that company actually relies on overseas plants that emit coal ash that can be seen on satellite imagery. you may discover that there is Alternatively, sensors that analyze heat emissions from buildings could help identify low-emission businesses for tax credits.
NVIDIA’s edge computing solutioncontains NVIDIA Jetson platform He is driving numerous AI initiatives in spatial finance for autonomous machines and other embedded applications.
In addition to using NVIDIA hardware to accelerate applications, developers are employing software such as: NVIDIA Deep Stream A software development kit for streaming analytics. NVIDIA Metropolis Vision AI platform. they again, NVIDIA Omniverse A platform for building and operating detailed metaverse applications 3D visualization of geospatial data.
Property Insurance — From Assessing Risk to Expediting Claims
NVIDIA Inception members are developing GPU-accelerated applications that turn geospatial data into insights for insurance companies, reducing the number of costly site visits required to monitor the status of insured properties.
Based in Luxembourg, RSS-Hydro trains using GPU computing on-premises and in the cloud. flood sense, a machine learning app that maps flood impacts from satellite imagery. The company also uses NVIDIA Omniverse to animate his FloodSENS in 3D to help the team more effectively communicate flood risk and inform emergency resource allocation plans.
based in toronto Ecopia AI uses a deep learning-based mapping system to mine geospatial data to help create next-generation digital maps with highly segmented buildings, roads, forests, and more. These maps will power a variety of applications across the public and private sectors, such as government climate resilience efforts and insurance risk assessments. Ecopia uses NVIDIA GPUs to develop AI models.
Based in the San Francisco Bay Area, CrowdAI accelerates the insurance claims process by using deep learning tools to automatically analyze aerial imagery and video to detect assets damaged or destroyed in natural disasters. . The company uses his NVIDIA GPUs for both training and inference.
Anticipate business risks and opportunities
Inception startups also use geospatial data to help government groups and banks quantify investment risks and opportunities. For example, predicting crop yields, detecting industrial pollution, and measuring property land and water usage.
based in switzerland Pictera supports sustainable finance with a geospatial MLOps platform that enables banks, insurers and financial consultancies to analyze ESG indicators. The company’s AI-powered insights help the financial industry make investment decisions, model risk, and rapidly quantify vulnerabilities and opportunities in investment portfolios. The company uses NVIDIA Tensor Core GPUs and the NVIDIA CUDA Toolkit To develop AI models that process raw data from satellites, drones, and aerial imagery.
London-based Satellite Vu is a start-up applying satellite technology to address global challenges, using data from thermal imaging cameras to enable near real-time monitoring of the temperature of any building on Earth. will be These thermal images provide customers with insight into economic activity, building energy efficiency, energy efficiency, and more. urban heat island effects, etc.
and source energyHouston-based uses geospatial data to power its energy supply chain intelligence platform that can support market research in the financial services industry.AI tools developed using NVIDIA A100 GPUsenables investors to create their own real-time models of an energy company’s well inventory and project costs, gaining insight even before companies share the data in their quarterly earnings reports.
Learn more about NVIDIA’s efforts here. financial operations, Read more about geospatial AI in investment management Chapter 10 of this handbook.