IBM Accelerator Catalog
IBM Accelerator Catalog

Insurance Loss Estimation using Remote Sensing Data

This Industry Accelerator shows how to derive insights from remote sensing data, by utilizing an example of studying flooding events for assisting insurance claims.

Slide Two

Key Challenges

What is an accelerator?
Industry Accelerators are a packaged set of technical assets used to help you tackle your next data science project by addressing your most pressing business challenges. With sample data, notebooks, scripts, a sample application and more, you can kickstart your own implementation and leverage the power of Cloud Pak for Data.

  • Demand for consuming insights derived in business-critical systems across a wide range of industries, including insurance, urban planning, agriculture, climate change, and flood prevention creates a need for ML/AI on remote sensing data.
  • Study satellite images before and after a certain event, and with the help of spatiotemporal analysis and ML/AI techniques, get insights such as what areas have been affected by the event, the intensity of damage to property, and the extent of loss to the insurer.
  • Insurance companies can use this accelerator to understand Remote Sensing capabilities to study the flood event, get insights of impacted regions and then predict Estimated Claim Amount for individal properties in an effective way.

Expected Business Outcome

Icon1Icon2Icon3

Flood impact analysis

Insights on impact regions and property damage

Estimate claim amount

Study satellite images before and after a certain loss event with help of spatiotemporal analysis, Machine Learning / AI techniques.

Get insights on impacted regions, intensity of damage, extent of loss etc.

Analyse and predict estimated claim amount on individual properties.

Identify impact zones for loss events and predict the estimated amount that can be claimed for repairing the damages for individual properties.

Video

Key Features

Information architecture

End-to-end AI Ladder application

Modular framework

Icon4Icon5Icon6

An architecture enabling you to extract meaning from your data

From cataloging data through a glossary of terms to model development and deployment, simplify the lifecycle of your AI project

Composable and extensible pattern that can be applied to new data and industries

Highlighted Products for this Accelerator

IBM Cloud Pak for Data

Built on Red Hat OpenShift Container Platform, IBM Cloud Pak for Data accelerates your journey to AI to transform how your business operates with an open, extensible data and AI platform that runs on any cloud.

ViewLearn More

Watson Knowledge Catalog

Help your data users quickly find, curate, categorize and share data, analytical models and their relationships with other members of your organization.

ViewLearn More

Watson Studio

Empower your data science and AI teams to refine data and visually build and deploy models, using data on the desktop for anytime, anywhere access.

ViewLearn More

Watson Machine Learning

Deploy, monitor, and optimize models quickly, easily, and at scale.

ViewLearn More

IBM Knowledge Accelerator

IBM Knowledge Accelerators offer pre-created, extensive, curated glossaries to improve data classification, regulatory compliance, self-service analytics and other governance operations.

ViewLearn More

Connect With Us

Additional details

  • Accelerator typeCloud Pak for Data industry
  • IndustryInsurance
  • Business functionInformation Technology
  • Product and version Cloud Pak for Data,Cloud Pak for Data as a Service,Watson Knowledge Catalog,Watson Studio,Watson Machine Learning - Current
  • Author typeIBM
  • Company nameIBM
  • Author name IBM
  • Last modifiedFebruary 25th, 2021
  • Language English