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Insurance

Insurance

Using advanced analytics and decision management in the cloud to empower decision makers throughout the organization.

Overview

The insurance industry has long been a leader in the use of analytic models for pricing. Now, with new and more complex data available there are an increasing number of scenarios where analytics are making a big impact. FICO provides a platform for Insurance that uses advanced analytics to manage risk, prevent fraud, improve debt collections and increase your profitability while delivering a great customer experience. This includes areas such as:

  • Underwriting decisioning
  • Prevention of application and claims fraud
  • Increased automation and personalization on digital channels
  • Rapid application development
  • Optimization with advanced algorithms
  • Simulation and testing of pricing models
  • Decision and model governance and monitoring
  • Rapid deployment of SAS, R, Emblem and other analytic models
  • Using a highly segmented approach for collections and recovery

For insurance companies who deal with cyber-insurance, FICO delivers a research-proven approach to independently score 3rd party organizations based on their risk of data breach – this involves scanning the entire internet on a weekly basis and process an enormous data set using machine learning to create advanced predictive models. This same enterprise security score can be used to ensure you have accurate insight into your own company’s ability to keep sensitive data secure.

FICO Insight Promovendo uma jornada segura para empresas e clientes com analíticos avançados.
October 8, 2020

FICO Insight Promovendo uma jornada segura para empresas e clientes com analíticos avançados.

Horário: 10h

Com a nova realidade das plataformas digitais, o consumo de produtos e serviços e as formas de se comunicar mudaram radicalmente e passaram a ser 100% digital. Com isso, o desafio das empresas passa a ser a melhoria contínua da experiência de seus clientes de forma totalmente segura.

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FICO Insight Analítica avanzada para una experiencia segura para empresas y clientes
October 8, 2020

FICO Insight Analítica avanzada para una experiencia segura para empresas y clientes

Horarios:
01, 08, 15 y 22/oct - 10AM MEXICO CITY, BOGOTA, LIMA | 11AM SANTO DOMINGO | 12PM SANTIAGO, BUENOS AIRES
29/oct, 5 y 12/nov - 10AM MEXICO CITY | 11AM BOGOTA, LIMA | 12PM SANTO DOMINGO | 1PM SANTIAGO, BUENOS AIRES

Con la nueva realidad de las plataformas digitales, el consumo de productos y servicios y las formas de comunicarse se han cambiado radicalmente y se han vuelto 100% digitales. Como resultado, el desafío para las empresas es mejorar continuamente la experiencia de sus clientes de una manera totalmente segura.

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How Python Modelers Can Increase ROI and Business User Engagement with FICO Xpress Insight
November 2, 2020

How Python Modelers Can Increase ROI and Business User Engagement with FICO Xpress Insight

Time: 1pm EST / 10am PST

Python is one of the most popular modeling languages in the world, and yet more than half of the time, developers fail to deliver their advanced analytics to business end-users. The main barrier is the lack of a deployment platform that converts models into user-friendly applications. Instead of having to continue running these models yourself or relying on a patchwork of open-source platforms, we’d like to (re-)introduce you to an enterprise-ready solution that fully integrates with Python to convert your analytics into a useable, interactable form: FICO Xpress Insight.

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How to Drive Python Model ROI & User Engagement
November 12, 2020

How to Drive Python Model ROI & User Engagement

Time: 12pm EST / 9am PST

Python is one of the most popular modeling languages in the world, and yet more than half of the time, developers fail to deliver their advanced analytics to business end-users. The main barrier is the lack of a deployment platform that converts models into user-friendly applications. Instead of having to continue running these models yourself or relying on a patchwork of open-source platforms, we’d like to (re-)introduce you to an enterprise-ready solution that fully integrates with Python to convert your analytics into a useable, interactable form: FICO Xpress Insight.

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The 19th Annual Canadian Telecom Summit
November 17, 2020

The 19th Annual Canadian Telecom Summit

Don’t miss Scott Zoldi, Chief Analytics Officer, FICO presentation: Ethical in the Age of AI? On November 19, 2020 @10:45 am EDT.  

Scott Zoldi is also a panelist during 5G/AI/Blockchain - Jumpstarting Our Economy, Through Innovations & Applications, on the same day @12:45 pm EDT.

Learn more about The 19th Annual Canadian Telecom Summit at https://www.telecomsummit.com/.

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Blaze Advisor Fundamentals for Java Developers | November 17-20, 2020
November 17, 2020

Blaze Advisor Fundamentals for Java Developers | November 17-20, 2020

This two-part course provides a foundation for developing a Blaze Advisor system-enabled application. Part 1 is for both Business Analysts and Developers who maintain rules in the RMA.  Part 2 is for Developers who need to understand the SRL generated by the RMA.  Students are introduced to rule authoring, Structured Rule Language (SRL), testing, RMA generation, lifecycle management in the RMA, and rule project deployment.

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Decision Modeler | December 1-4, 2020
December 1, 2020

Decision Modeler | December 1-4, 2020

This course is aimed at developers and rule writers.  The course covers rule authoring using both interactive builder and advanced builder where participants will learn how to write using Structured Rule Language (SRL); project testing and deployment.

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Decision Modeler | December 15-18, 2020
December 15, 2020

Decision Modeler | December 15-18, 2020

This course is aimed at developers and rule writers.  The course covers rule authoring using both interactive builder and advanced builder where participants will learn how to write using Structured Rule Language (SRL); project testing and deployment.

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GEHA

GEHA

GEHA catches fraud before payout while improving case targeting twelve-fold.

Case Study