Overview

In the past few years, disruptors in the mortgage industry have harnessed analytics and artificial intelligence (AI) in order to deliver differentiated value. Traditional mortgage lenders have responded by adapting AI to augment their own legacy loan origination systems. The early results of these competitive dynamics have included a more efficient and satisfying customer experience. However, many incumbent and upstart mortgage lenders alike are still not taking full advantage of the analytically-driven opportunities to exceed customer expectations and grow market share.
 
Please download this complimentary webinar in which we share some real-world examples of the latest innovations that are pushing the industry forward into the digital age. Hosted by Dan Grudus, Seth Steinberg, and Jeffrey Steelhammer, subject matter experts in mortgage lending solutions, we’ll not only discuss what’s currently shaping the market, but what’s next in areas such as streamlining customer service, modeling and deploying risk/pricing strategies, and more.

Overview

Many organizations use the terms “machine learning” and “optimization” to describe technologies that they use to improve their decisions. These two techniques have much in common and are frequently used in conjunction. Nevertheless, there is often confusion regarding how they are related, how to use them together, and how to operationalize solutions that use both. In fact, if you were to ask two experts about which scenarios lend themselves more to machine learning, optimization, or both, you might get two different answers.

Luckily, FICO has two such experts, and they are excited to address all of these questions and more. Please join our complimentary webinar, hosted by Jari Koister and Oliver Bastert—two PhD subject matter experts in machine learning and optimization. Jari and Oliver will guide you through the similarities and differences of both techniques, and they’ll also discuss examples of how to operationalize solutions that use a combination of optimization and machine learning to reach the best possible outcome in adaptive and dynamic environments. Whether you’re a highly technical data scientist or a business user of decision technology, you’ll gain valuable insights that you can then apply to your own projects. Please be sure to register today!

Overview

Automated, unified collections offer the promise of improved customer experience, lower operating expenses, better controls for compliance and risk, increased collection success, and more satisfied employees. But achieving success requires answering a lot of hard questions in order to develop a solid business case for moving forward. In this webinar, we answer your questions on how to implement automated, omni-channel communication strategies across the debt management lifecycle. We discuss the challenges and pitfalls organizations face when implementing customer communication strategies, particularly for pre-delinquency and early-stage collections.

For Industries: 
Banking
Overview

In November SEPA CT Inst was launched in the Eurozone. This cross-border, real-time payments scheme joins established and new national real-time payment schemes in operation across Europe. Many countries are new to real-time payments and disruption and innovation can have unintended consequences. Other countries that have launched such schemes have found that real-time payments means real-time fraud.

Join Fintech expert Liz Lumley, a regular keynote speaker on subjects including regulation, risk, data and technology in banking and FICO Payments expert Toby Carlin to discuss:

  • What’s important about real-time payment schemes
  • Why they are different from other fast ways of paying such as person-to-person schemes or e-wallets.
  • What fraud trends can you expect to see in a real-time payments environment
  • A case-study on the UK – what happened to fraud when they introduced real-time payments in 2008 and what have the implications been.
  • How FICO has helped banks adapt their fraud strategies to a real-time payments environment.
For Industries: 
Banking
Overview

Many of the largest banks in Europe have adopted the Advanced Internal Ratings Based approach to Capital calculation to gain a competitive advantage from the lower capital cost it provides, but this benefit comes with a cost of additional regulation and governance requirements. Now, with the ECB’s Targeted Review of Internal Models (TRIM) in full swing, the burden of governance has reached critical mass and organizations are looking to model risk management to streamline the process and relieve some of the pain of demonstrating compliance, allowing Risk and Product teams to really drive the business.

For Industries: 
Banking
Overview

Financial Services institutions have significantly increased their use of advanced analytics and optimization in areas such as Deposit Pricing. While the goal of these efforts is to increase profitability while achieving competitive advantage and improving the customer experience, organizations are hampered by system limitations that impact their ability to deliver targeted product and pricing strategies. In this webinar, we describe the key elements to overcoming the challenges that most organizations face in executing their pricing decisions.

Overview

Cyberattacks are no longer just a fight for your IT security team - they represent a risk to your entire business. The consequences of a successful attack are of a magnitude that affects the continuity of the entire organization. You need to understand the liability and exposure to risk your business has and the risk you are exposed to through third parties such as your business suppliers and partners.

Overview

Driven by the proliferation of data breaches - with billions of records stolen to date - application fraud is on a meteoric rise. Whether it is identity theft, synthetics, bust-outs, or straightrollers, financial institutions are experiencing crippling brute force application fraud attacks that are sophisticated, methodical, and both financially and reputationally damaging. Identity proofing and agility to answer evolving fraud tactics is key, and the right balance must be struck between top line growth and protecting the bottom line. In this webinar, we discuss emerging fraud trends and dissection of recent brute force application fraud attacks, building a best-in-class enterprise application fraud program that addresses today’s needs, and recent innovations in data, technology, and explainable and interpretable AI and Machine Learning to prevent fraud at the front door and streamline the customer experience.

For Industries: 
Banking
Overview

CECL will change the financial impact of nearly every decision across the credit life cycle. This webinar will help risk, finance and line-of-business decision makers to plan for and mitigate CECL's impacts on portfolio profitability, returns and volatility.

For Industries: 
Banking
Overview

In November 2017, The Clearing House launched RTP®, a real-time payments system, and BNY Mellon and US Bank initiated the first-ever real-time payment in the United States. This ushered in a new era in how payments are made – one with extraordinary potential to enable banks to build products that are most responsive to their customers’ needs. But this revolution comes with risks, and other countries that have found that real-time payments mean real-time fraud. This webinar shares perspectives on what’s important to know about real-time payment fraud schemes, how these schemes differ from those perpetrated on other fast ways of paying, what fraud trends you can expect to see in a real-time payments environment, and what happened when real-time payments were introduced in the UK in 2008 - and how these have been addressed.

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