Cloud Pak for Data Group

Insurance Loss Estimation Using Remote Sensing Data 

Thu February 25, 2021 05:28 AM

The Insurance Loss Estimation using Remote Sensing Data Industry Accelerator analyzes satellite images before and after a weather event. Using spatio-temporal analysis and Machine Learning / AI techniques, we can obtain insights into what geographical areas have been affected by the event, the intensity of damage to property, and the extent of loss to the insurer. Such insights provide valuable information quickly to insurers for better assessing property damage and dealing with insurance claims in a more efficient and effective manner. This use case can be easily customized to handle other types of loss events such as drought, tropical cyclone damage etc.

What's included?

  • A structured business glossary of more than 75 business terms.
  • Sample Remote-sensing and data science assets.
  • Jupyter Notebooks to analyze remote sensing data, create and deploy machine learning model to predict Estimated Claim Amount.

How does it work?

The glossary provides the information architecture that you need to govern the data used in this accelerator project. Your data scientists can use the sample notebooks, predictive models and dashboards to accelerate remote sensing, spatio-temporal analysis, data preparation, machine learning modeling, and data reporting.

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

When you import the accelerator:

  • The terms are added to your business glossary under the Insurance Loss Estimation Using Remote Sensing Data subcategory in the Industry Accelerators category.
  • The data science assets are added to a new analytics project.
An overview of serverless pipeline for ingesting, storing, and querying remote sensed satellite data.
An overview of model insights in the sample R Shiny dashboard.


For more information on an architecture for ingesting, storing, and querying remote sensed satellite data using IBM Cloud, see IBM Cloud for Serverless Remote Sensing Data

Prerequisites

Required services: To use the industry accelerators, you must install one or more of the following services on IBM® Cloud Pak for Data

Service Required for
Watson Knowledge Catalog Importing data governance artifacts, such as business terms and categories. See Installing Watson Knowledge Catalog.
Watson Studio Importing data science assets to an analytics project. See Installing Watson Studio.
Watson Machine Learning Deploying analytical models. See Installing Watson Machine Learning.
RStudio Running R Shiny apps. See Installing RStudio.
Spark Create Model flows, associate spatio-temporal library with spark service environment. See Installing Spark.

Importing the accelerator

To use this accelerator on Cloud Pak for Data v4.0.0.0, complete the following steps:

  1. Download the insurance-loss-estimation-using-remote-sensing-data-industry-accelerator.tar.gz file, which is available on the https://github.com/IBM/Industry-Accelerators repository.
  2. Extract the contents of the package.
  3. Import the ZIP file that defines the analytics project to Cloud Pak for Data. The file name should have the following format: accelerator-name-analytics-project.zip.

    See Importing a project.

  4. Import the governance artifacts to Cloud Pak for Data:
    1. Log into the Cloud Pak for Data web client as a user that has the Manage categories permission and the Author governance artifacts permission.
    2. Import the CSV file that defines the categories. The file name should have the following format: accelerator-name-glossary-categories.csv.

      See Managing categories.

    3. Import the CSV file that defines the business terms. The file name should have the following format: accelerator-name-glossary-terms.csv.

      See Managing business terms for the business glossary.

To use this accelerator on Cloud Pak for Data v3.5.0.0, complete the following steps:

  1. Download the insurance-loss-estimation-using-remote-sensing-data-industry-accelerator.tar.gz file, which is available on the https://github.com/IBM/Industry-Accelerators repository.
  2. Determine how you want to import the accelerator:
    • If your Cloud Pak for Data user account has Admin privileges, all components can be installed by following these steps:
      1. From a command prompt, run the following command to extract the contents of the package:

        tar -xvf {TARFILENAME}

      2. Run the following command to navigate into the folder with the accelerator artefacts extracted from the tar.gz file.

        cd insurance-loss-estimation-using-remote-sensing-data-industry-accelerator

      3. Run one of the following commands to import the accelerator content into Cloud Pak for Data.

        Example 1: Run the import in interactive mode. When prompted, enter the required information.

        ./import-accelerator-script.sh

        Example 2: For a list of all available options, including how to pass arguments to the import script, enter the command:

        ./import-accelerator-script.sh --help

        Example 3: Run the import passing arguments. The following command will: import the accelerator into a project named "Insurance Loss Estimation using Remote Sensing Data" and import categories and business terms into Watson Knowledge Catalog.

        ./import-accelerator-script.sh --hostname https://hostname:port --username username --password password --name "Insurance Loss Estimation using Remote Sensing Data"

        Example 4: Run the import passing additional arguments to publish the business glossary terms and run notebook jobs.

        ./import-accelerator-script.sh --hostname https://hostname:port --username username --password password --name "Insurance Loss Estimation using Remote Sensing Data" --publish_glossary --run_jobs

    • If you would like to pick which components you import, complete the same steps, as described above for Cloud Pak for Data v4.0.0.0, to manually import each accelerator component.

Release Notes

This accelerator has been verified on:

  • Cloud Pak for Data v4.0.0.0
  • Cloud Pak for Data v3.5.0.0

About the developer:

IBM

Terms and Conditions

The terms under which you are licensing IBM Cloud Pak for Data also apply to your use of the Industry Accelerators. Before you use the Industry Accelerators, you must agree on these additional terms and conditions that are set forth here. This information contains sample modules, exercises, and code samples (the code may be provided in source code form ("Source Code")) (collectively "Sample Materials").

License: Subject to the terms herein, you may copy, modify, and distribute these Sample Materials within your enterprise only, for your internal use only; provided such use is within the limits of the license rights of the IBM agreement under which you are licensing IBM Cloud Pak for Data. The Industry Accelerators might include applicable third-party licenses. Review the third-party licenses before you use any of the Industry Accelerators. You can find the third-party licenses that apply to each Sample Material in the notices.txt file that is included with each Sample Material.

Code Security: Source Code may not be disclosed to any third parties for any reason without IBM's prior written consent, and access must be limited to your employees who have a need to know. You have implemented and will maintain the technical and personnel focused security policies, procedures, and controls that are necessary to protect the Source Code against loss, alteration, unlawful forms of processing, unauthorized disclosure, and unauthorized access. You will promptly (and in no event any later than 48 hours) notify IBM after becoming aware of any breach or other security incident that you know, or should reasonably suspect, affects or will affect the Source Code or IBM, and will provide IBM with reasonably requested information about such security incident and the status of any remediation and restoration activities. You will not permit any Source Code to reside on servers located in the Russian Federation, the People's Republic of China, or any territories worldwide in which the Russian Federation or People's Republic of China claim sovereignty (collectively, "China or Russia"). Company shall not permit anyone to access or use any such Source Code from or within China or Russia, and Company will not permit any development, testing, or other work to occur in China or Russia that would require such access or use. Upon reasonable written notice, IBM may extend these restrictions to other countries that the United States government identifies as potential cyber security concerns. IBM may request that you verify compliance with these Code Security obligations, and you agree to cooperate with IBM in that regard.

General: Notwithstanding anything to the contrary, IBM PROVIDES THE SAMPLE MATERIALS ON AN "AS IS" BASIS AND IBM DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, ANY IMPLIED WARRANTIES OR CONDITIONS OF MERCHANTABILITY, SATISFACTORY QUALITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE, AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT. IBM SHALL NOT BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY OR ECONOMIC CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR OPERATION OF THE SAMPLE MATERIALS. IBM SHALL NOT BE LIABLE FOR LOSS OF, OR DAMAGE TO, DATA, OR FOR LOST PROFITS, BUSINESS REVENUE, GOODWILL, OR ANTICIPATED SAVINGS. IBM HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS OR MODIFICATIONS TO THE SAMPLE MATERIALS.



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