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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

The Rise of Money Mules in The Philippines

Banks need to fight back with advanced analytics as COVID-19 helps fuel financial crime

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

FICO Survey: APAC Banks Will Use AI To Stop More Money Laundering

Many banks currently experience significant struggles modifying their existing rules-based anti-money laundering (AML) compliance system

Build or Buy: Partnering in the Age of Model-Driven Organizations

Decision science and predictive analytics can enable businesses to make the most of all available data to anticipate customer needs and prescribe the best action.

5 Reasons Why AML is More Important Than Ever in 2019

Analytics Predictions 2019: Machine Learning & Data Efficiency

Adopting machine learning to enhance not just the accuracy of models but also drive efficiency is critical to amplify a key asset - the analytic team – and stay competitive.

How to Rate Trade Credit Risk – Without Much Data

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