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Measuring ML Performance for Financial Services in the Age of Hyperautomation

Financial services organizations continue to lean into hyperautomation and strategic technology to streamline and transform business processes. But with this level of complexity, it's crucial to consider the potential business and compliance risks.

In this guide, learn how you can proactively mitigate legal, regulatory, and reputational risk while saving money and driving business goals through real-time optimization of MLOps models for financial services and banking use cases.


Measuring ML Performance for Financial Services

Download this guide to learn how your financial services organization can maximize revenue and minimize risk with comprehensive model monitoring.

Top Financial Institutions Trust Arthur for ML Performance

Arthur is the AI Performance Company for financial services. Our platform monitors, measures, and improves machine learning models to deliver better results for top industry use cases: fraud/KYC, forecasting models, fair lending, robo-advisory programming, credit worthiness, customer service, and more.

Credit Approvals & Underwriting

Fair Lending

Fraud

Anti-Money Laundering, KYC

Algorithmic Trading

Customer Engagement & Service

Monitor, measure, and improve ML models with Arthur

Arthur helps data scientists, product owners, and business leaders accelerate model operations at scale. We work with enterprise teams to measure and optimize model performance in production for:

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Accuracy & Data Drift

Explainability & Transparency

Fairness & Bias Mitigation

Track model performance to detect and react to data drift, improving model accuracy for better business outcomes.

Build trust, ensure compliance, and drive more actionable ML outcomes with Arthur’s explainability and transparency APIs.

Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models.

Trusted by Fortune 100 Leaders

Fortune 100 leaders across financial services, healthcare, retail, and tech trust Arthur to monitor and improve their ML models to drive business impact.

expel logo
humana logo

“Thanks to Arthur, we know that our preventative care models are fair, and that we can catch any potential issues before they impact our members…and the Arthur platform allows us to detect and fix data drift before it becomes a real problem.”
— Chief Analytics Officer, Humana

"The biggest challenge is looking at this from a reputational risk perspective. ​The last thing we want is to be on the front page of the news with a bias issue.”
— Global Tech VP

“Arthur is 6-9 months ahead of the competition and there was a clear preference for their UX among our data scientists.”— Head of Global Artificial Intelligence

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