Reducing Severe Weather Risk

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Reducing Severe Weather Risk 

Fri December 04, 2020 12:08 PM

About This Accelerator

Severe weather has a significant impact on insurers and their policyholders. This industry accelerator simulates a point in history where there were billions of dollars of damage caused by fire, wind and hail 2'' in size within the south western part of the United States. This accelerator will show how data engineers, data stewards, data quality analysts, data scientists, citizen data scientists, analysts, and developers can all focus on their role to reduce severe weather risk and work together at the same time using Cloud Pak For Data as the ModelOps Platform.
  • Collect, ingest and merge historical severe weather (hail, wind, and fire) data, coming from The Weather Company Data Packages, with historical policyholder claim data to understand what the weather was in the past when a claimed occurred. The same data will be used downstream to build, test and deploy claim damage prediction models and data built by data scientists and analysts.
  • Organize your analytic artifacts such as data, notebooks, models, data source connections and dashboards making it easy for others to find and collaborate through governed trusted catalogs.
  • Analyze as a data scientist or analyst, to build, test and deploy a model to predict claim damage or develop analytic dashboards to show many views of severe claims damage.
  • Infuse model results into downstream dashboards, online/batch scoring and other applications such as ESRI maps.
Cloud Pak For Data ModelOps Platform

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.
SPSS Modeler Customizing the predictive model. See Installing SPSS Modeler.
Analytics Dashboard Running the dashboard. See Installing Analytics Dashboards.

Data Assets Included With The Industry Accelerator

CSV files
  • CustomerClaims.csv The actual claim amount by customer.
  • CustomerLocations.csv The location of the claim.
  • CustomerReportedHail.csv The hail reported by customer.
  • ClaimsLocationHail.csv Merged file containing claims, location, and hail.
  • SPSSTreesModelPredicitons.csv Output from SPSS Modeler to be analyzed in Analytic Dashboard.
Analytics Dashboard
  • Reducing Severe Weather Risk Dashboard.json Create a new dashboard using this file.
SPSS Modeler Stream 18.2.1
  • Insurance Hail Risk SPSS Desktop Model.str
    • Use With IBM SPSS Modeler 18.2.1 and/or CP4D Modeler Flow
    • Download and try SPSS Modeler Desktop here or contact : bsnyder@us.ibm.com / cgorham@ibm.com.

Importing the accelerator

To use this accelerator on Cloud Pak for Data v4.7.0.0, complete the following steps:

    1. Download the reducing-severe-weather-risk-in-insurance-industry-accelerator.zip file, which is available on the https://github.com/IBM/Industry-Accelerators repository.
    2. Determine how you want to import the accelerator:
      1. All components can be installed by following these steps:
        1. Download the Industry Accelerators import script to the same path as the accelerator zip file downloaded above : import-accelerator-script download link
          Note : Ensure that the downloaded zip file and script are in the same path or the import will fail.
        2. 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 "reducing-severe-weather-risk-in-insurance-industry-accelerator" on Cloud Pak for Data.

          ./import-accelerator-script.sh --hostname https://hostname:port --username username --password password --name "reducing-severe-weather-risk-in-insurance-industry-accelerator"

        3. To import the governance artifacts into Watson Knowledge Catalog, go into the project and run the import-wkc-notebook-job. Refer the Readme section for detailed instructions.
      2. If you would like to import via UI, follow these steps:
        1. Import the ZIP file that defines the analytics project to Cloud Pak for Data. The file name should have the following format: accelerator-name-industry-accelerator.zip.

          See Importing a project.

        2. For next steps refer to the Readme document after the importing the ZIP file.

To use this accelerator on Cloud Pak for Data v4.6.0.0, complete the following steps:

      1. Download the reducing-severe-weather-risk-in-insurance-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. 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 reducing-severe-weather-risk-in-insurance-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 "reducing-severe-weather-risk-in-insurance-industry-accelerator" and import categories and business terms into Watson Knowledge Catalog.

            ./import-accelerator-script.sh --hostname https://hostname:port --username username --password password --name "reducing-severe-weather-risk-in-insurance-industry-accelerator"

            Example 4: Run the import passing additional arguments to publish the business glossary terms.

            ./import-accelerator-script.sh --hostname https://hostname:port --username username --password password --name "reducing-severe-weather-risk-in-insurance-industry-accelerator" --publish_glossary

        • If you would like to pick which components you import, complete the below steps,
          1. 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.

          2. 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 v4.5.0.0, complete the following steps:

      1. Download the reducing-severe-weather-risk-in-insurance-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:
        • Complete the same steps, as described above for Cloud Pak for Data v4.6.0.0, to import accelerator components.

To use this accelerator on Cloud Pak for Data v4.0.1.0, complete the following steps:

      1. Download the reducing-severe-weather-risk-in-insurance-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:
        • Complete the same steps, as described above for Cloud Pak for Data v4.6.0.0, to import accelerator components.

Please view README in project data assets to see the full step by step to import and details regarding project artifacts.

Release Notes

This accelerator has been verified on:

      • Cloud Pak for Data v4.7.0.0
      • Cloud Pak for Data v4.6.0.0
      • Cloud Pak for Data v4.5.0.0
      • Cloud Pak for Data v4.0.1.0

About the developer:

Brian is a Financial Services Technical Seller for IBM Cloud Pak For Data @IBM helping customers modernize their data science platform to build, test, and deploy data science models, analysis, predictions dashboards, and other analytic artifacts to provide personalized ads to reduce churn, solutions to identify fraud, models to reduce financial risk, predict and forecast liquidity, reduce severe weather insurance risk and many other use cases in Insurance, Banking and Financial Services.

Brian develops and delivers technical solutions to win IBM sales opportunities. He gathers requirements, recommends product architecture, builds out recommended solutions while making sure to showcase value and return on investment.

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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