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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

TBML: What Is Trade-Based Money Laundering?

Trade-based money laundering is the process of disguising the proceeds of crime and moving value using trade transactions to legitimize their illicit origins

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.

AML in the Pandemic: Three Success Stories

Three new success stories show how banks are using technology and best practices to fight AML in the pandemic

RPA for AML and KYC – Automate Financial Crime Investigations

With all the expense pressures that AML programs face, corporations are seeking ways to reduce the regulatory burden, and top of mind is robotic process automation

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

Financial Crime Predictions 2021: More AI & Ransomware

Regulators will look to tighten up on financial crime next year

How to Protect Your Bank from Cryptocurrency Risks

FICO and Crystal Blockchain of Bitfury Group announce partnership to deliver real-time crypto-currency risk management

Australians & New Zealanders Want Online Car Loans

How to Rate Trade Credit Risk – Without Much Data

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