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Most people know that FICO has leading analytic capabilities in financial services. We help businesses reduce fraud, manage claims, drive collection results, improve risk management and use data to model and predict uptake for complex marketing offers and service plans.
Fewer people know that FICO also provides analytic solutions and scores that improve patient behaviors, drive medication adherence, and can enable you to increase the quality of care to ensure patients and customers achieve great outcomes. We also provide a decision management platform that allows you to tackle emerging data and analytic problems that often require strict regulatory compliance. Using the latest in data science, machine learning and advanced analytics, your organization can increase customer engagement where needed and make great decisions to improve your profitability, drive efficiency in your operations and achieve business results.
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.
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.
FICO® Propensity Scores for Healthcare can improve patient engagement for all the stakeholders in their care and treatment — including payers, providers, hospitals, retail pharmacies and pharmaceutical manufacturers. Predicting the propens...
“My special investigations unit keeps an eye on fraud and abuse, but what
The line between fraud and waste may be a fine one, but when you’re convinced
that a dubious claim is not fraudulent, does your payer organization h...
Many insurance payers realize how valuable identity resolution and link analysis technology can be in supporting detection of organized crime, as well as opportunistic fraudulent providers. But they also know how difficult it is to impleme...
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...