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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

This Crisis Shows We Need a More Decentralized Banking Market

During the COVID-19 pandemic, we can see that having fewer community banks hurts consumers in critical moments.

Dr. Strangelove or: How Fintechs Will Learn to Stop Worrying and Love Regulation

Over the next decade, the guiding ethos of fintech will evolve beyond 'move fast and break things'.

Solving the “Black Hole Problem” with First-Party Fraud

A conversation with Aite Group's Julie Conroy and Neuro-ID's Jack Alton.

5 Reasons Why AML is More Important Than Ever in 2019

The Future of Customer Acquisition in Financial Services

Financial services providers are under increasing pressure to acquire and retain profitable customers. FICO subject matter experts discuss strategies, tools, and KPIs for success in this lively exchange.

Banking Innovation: Why 2018 is the Year it Puts on its Overalls

What is it Costing You to Collect? Are the Odds in Your Favor?

How to Rate Trade Credit Risk – Without Much Data

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