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Modelling Deposit Price Elasticity: What Is It All About?

A price elasticity model enables the product team to set deposit rates with a sound understanding of the expected performance from the rate strategy

Explainable Machine Learning for Probability of Default Calculations

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

How Transaction Analytics Transform Lending Speed and Results

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Improving IRB and RWA Calculations with Machine Learning

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Does the EU Framework for Responsible AI Go Far Enough?

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

Four Key Changes in Collections Since COVID-19 Struck

Digital collections, agility, consumer focus on analytics are priorities now as debt collectors deal with the pandemic

Digital Customer Communications and COVID-19

Collections teams are now responsible for more customers than ever — are they ready?

Is Your Collection Operation Stepping Up to the Pandemic Challenge?

Beyond short-term impacts, portfolios, workforces and operating models are changing

Creative Ways to Help Vulnerable Customers

Can the banking industry match the innovative approaches used in utilities?

Modeling Deposit Price Elasticity: Where’s the Value?

What should you expect to gain from deposit price elasticity models and what can you do with them to maximize benefit to the business?

Modelling Deposit Price Elasticity: Challenges and Approach

Modelling Deposit Price Elasticity: What Data Do You Need?

Modeling Deposit Price Elasticity: What Is It All About?

How to Rate Trade Credit Risk – Without Much Data

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