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AI Governance: A Critical Component of Corporate ESG Initiatives

Helping organizations navigate the often-challenging implementation of Responsible AI as part of ESG efforts

Meeting Debt Collection Challenges Amid a Squeeze on Income

In order to deal with the rising cost of living and other challenges, anyone managing collections portfolios and effective debt recovery strategies needs these capabilities

FICO’s New AML Scores Use AI and ML to Detect Money Laundering

New AML scores reduce false positive alerts by 50% while detecting 100% of known money laundering transactions, and discover new aberrant, potentially risky behaviors

8 Success Tips for Debt Collection in the Pandemic

From identifying vulnerable customers to storing the right data, here are best practices for debt collection in the current pandemic

“There Can Be Only One”: The Highlander Principle of Data Science

Many organizations, including data science teams, derail innovation with internal competition that fragments resources and energy.

Debt Collection and Debt Resolution in 2022

As we enter the third year of the global pandemic, what are the challenges facing debt collection and debt resolution professionals?

AI Predictions 2022: The Great Humbling of AI

I predict that Auditable AI and Humble AI will become widely used in 2022, as essential parts of Responsible AI

Why Customer-Centric Debt Collection Is Critical - Video

In this presentation from the Collections and Vulnerability conference, Bruce Curry lays out the case for customer-centric debt collection and its impact on a firm's performance

Digital-First Collections Means Thinking Like a Marketer

​​​​​​​The numbers speak for themselves because digital-first collections counts when it comes to tackling late-paying accounts

Digital-First Collections Doesn't Mean Dropping the Dialler

Automated dial-direct calls to late-paying customers continue to help recover around 5% of delinquent accounts

Fighting Bias: How Interpretable Latent Features Remove Bias in Neural Networks

FICO’s data science labs called interpretable latent feature-based neural networks (ILF NNET) help expose and eliminate biases derived from data showing up in the model.

FICO’s New AI Playbook: How to Achieve Responsible AI

The Responsible AI Playbook provides a clear path to operationalizing AI deployments. Use it to achieve high-impact business results within important ethical and legal boundaries.

Open Source Junkies: How Much Analytic Power Do You Need?

Data scientists need to justify the need for the incremental risk we assume when using more complicated methods to solve a problem - not be open source junkies

Master Debt Collection Now – Before It’s Too Late

The time to invest in collections technology and improve your processes is now, not when the pandemic-driven debt tsunami hits

Debt Collection Approaches for the COVID-19 Recovery

Signs to watch for, technologies that might help and recommendations on how to work with borrowers

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