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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.
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!
Time: 9 am UK BST / 10 am CEST
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. To see all of this in action, register for our upcoming webinar!
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.
The status quo in mortgage lending has changed. Competition, fueled by rising customer expectations, is reshaping the mortgage industry and producing a new generation of leaders and laggards. FICO brings the analytic expertise and next-generation decision management technology that lenders need to modernize every part of the mortgage lending process — from prequalification to pricing to underwriting — and put them in the best possible position to win new business.
A Next-Generation Experience
Intelligent automation makes the origination process fast for customers and consistent for the lender.
Sophisticated analytics make the underwriting process easy for customers and employees.
Empowered Risk Management
Control over risk policies puts the business in the driver’s seat when reacting to market changes.
Flexibility in managing pricing strategies ensures a profitable balance between risk and acceptance rate.
Interconnected data and decisioning systems enables a clear, comprehensive view into strategy performance across the lifecycle.
Robust simulation and prescriptive analytics tools empowers lenders to quickly discover and implement superior strategies while adhering to operational and compliance constraints.
Companies rely on FICO solutions to manage every stage of the credit lifecycle and other mission-critical business processes. To help them deploy these solutions quickly and safely around the world, FICO provides a complete, integrated pla...
Affordability and driving the right outcomes for customers has never been so front of mind for credit lenders. Over the past couple of months, every market has been challenged to deal with credit-stressed consumers, in situations where the...
With extreme levels of uncertainty and emotions running high, making decisions during a time of crisis can be chaotic. Traditional data sources have limited value, information is changing constantly, and impatient decision-makers don't res...
Have your organization’s investments in data science and operations research struggled to get deployed to the end user, or faced adoption challenges after deployment? If so, you are not alone. In fact, many forecasts project that only 20% ...