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FICO® Platform - Analytics Workbench

Safely deploy machine learning and advanced analytics to drive better business decisions

America’s AI Bill of Rights is the Right Idea – and It’s About Time

The AI Bill of Rights is the first step toward similar regulation of AI and machine learning algorithms

Digitalization and Artificial Intelligence: 5 Keys to Success

Digitalization and artificial intelligence will radically change retail banking. What does this mean for banks?

Where Are We Now? 2022 Data Science and AI Predictions Revisited

Within my AI predictions for the year, interpretable machine learning (ML) models have surprised me by garnering greater awareness from data science leaders

2023 FICO Decisions Awards Now Open

Call for analytics and digital transformation champions!

AI Governance: A Critical Component of Corporate ESG Initiatives

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

FICO Fact: Can unconstrained AI/ML expand access to credit?

FICO has been a pioneer in the use of machine learning (ML) in the financial services industry for over 25 years.

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

Explainable Machine Learning for Probability of Default Calculations

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

Big Brain on Campus: Dr. Scott Zoldi Talks Responsible AI at MIT, UCSD and Duke

Dr. Zoldi recently spoke on Responsible AI to the next generation of data science and business leaders on a college tour

Introducing The New Age of Applied Intelligence

FICO announces an integrated set of 17 enterprise capabilities that make up FICO Platform.

“Under the Hot Rod Hood”: Dr. Scott Zoldi’s AI Series on LinkedIn Live

Season 2 just started! In case you missed Season 1, here’s a recap of Scott’s conversations with Jordan Levine and Cortnie Abercrombie on Artificial Intelligence (AI).

Explainability in Fraud Management — What to Focus On Now

Explainability in fraud management covers everything from how fraud systems work to how their models are trained to how they are fueled by the right data

Women in AI: Diversity Can Lead to Better Models

The United Nations International Day of Women and Girls in Science throws a spotlight on creating greater diversity, and it is especially important to get more women in AI

“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.

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