Model Monitoring for Financial Fraud Classification

Model Monitoring for Financial Fraud Classification

Every $1 of fraud loss costs financial services firms $4 in losses [1]. These losses stem from incurred interest, fines and legal fees, labor and investigation costs, and external recovery expenses. To avoid this, financial services firms deploy machine learning...
A Comprehensive Overview Of Data Quality Monitoring

A Comprehensive Overview Of Data Quality Monitoring

As data has grown exponentially, data quality monitoring has become crucial for building successful data and machine learning systems. 42% of data analysts that took part in Forrester’s Online Global Survey on Data Quality and Trust spend more than 40% of their...
Why You Need ML Monitoring

Why You Need ML Monitoring

You are a data scientist or machine learning engineer. You’ve spent months getting together a model to satisfy some business requirement. You scoped the problem, gathered the data, prepared it, trained the model, iterated on a few versions until you hit the business’s...