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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:
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.
Time: 11am EST / 8am PST
As the COVID-19 epidemic wreaks havoc on the economy, many TPRM leaders must contend with an increase in cyber threats and a decrease in available budget. Thus, sticking with the standard, resource-intensive processes is infeasible, ineffective, and—worse—often backward-looking. The good news is that it’s actually possible to scale your cyber risk programs and protect your business more effectively with predictive analytics.
This course familiarizes attendees with optimization models and techniques, and the terminology used to describe them. Participants gain an understanding of the Xpress suite, the Mosel modeling and programming language, and Xpress Workbench. Through a series of projects illustrating applications of the LP and MIP methods, students learn to implement optimization models using Xpress Optimization Suite.
Time: 10am PST / 12pm CST / 1pm EST
Data Scientists and Operations Researchers can now deploy their Python models into user-friendly apps in FICO Xpress Insight. The models can be of any type—statistical regression, forecasting, or machine learning-based, etc.—and utilize any optimization solver. Users can also leverage the Python package ecosystem, explore data, and execute and compare models.
Join our webinar to learn how you can quickly and easily integrate Python with Xpress Insight. We’ll show you:
This is the first in a series of Xpress Insight webinars designed for end-users. In a future episode, we’ll focus on how to develop a data science app based on an analytics model—stay tuned!
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.
Customer satisfaction and retention are keys to long-term profitability in almost every industry. However, inconsistent and impersonal customer interactions are among the most-cited reasons people decide to shop elsewhere. In financial services, for example, over five million customers switched banks last year, and six million more plan to do so in 2020. Ironically, many firms possess the information necessary to delight customers and keep them from defecting, but they are falling short in implementing what industry experts call “customer centricity.” Join our webinar to see how your organization can close that information gap and keep your customers for the long haul.
In this valuable educational webinar, we will discuss how a customer-centric strategy, coupled with real-time data-driven decisioning, will enable smarter, faster, and more individualized interactions across all channels. With a full, 360-degree view of your consumers and a more flexible decision system, your business can anticipate customer needs with personalized offers and rapid responsiveness, resulting in higher satisfaction and long-term retention. Regardless of your organization's current decision infrastructure, there's an achievable roadmap to higher customer-centricity, and we'll show you examples of firms who have already made it happen. We hope you'll register for this webinar to learn more!
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.
GEHA catches fraud before payout while improving case targeting twelve-fold.
It’s a fact: Accounts receivables and bad debt are soaring among hospitals and health systems, and it’s not just because of uninsured patients. Unpaid medical bills are also surging at an alarming rate for many middle-class citizens, due t...
The FICO® Cyber Risk Score provides an empirical, long-term indicator of network security risk based on network assets and proprietary analytical methods helping understand your security posture and assess the risk of third-party organizat...
Insurance fraud losses are rising in the US, the UK and many other markets across the globe. Insurers are experiencing higher incidences of opportunistic fraud (exaggeration of legitimate claims), as well as premium leakage due to misrepre...
In the fight against claims fraud, criminal rings constitute an elusive and costly portion of an estimated $80 billion lost to fraud annually. FICO® Identity Resolution Engine, an integral component of the FICO® Claims Fraud Solution, prov...