Tech Blog | Capital One

Machine Learning

Edge ML & VCNs

How the Eno browser extension uses ML on device to read the DOM & pixel coordinates for a more accurate VCN experience

Featured Topics

Cloud

Discover best practices and lessons learned from our move to the cloud.

AI/ML

Read how we’re using AI/ML and data to transform the customer experience.

Open Source

See how we’re using the power of community to build the bank of the future.

Software Engineering

Get to know the solutions, ideas and stories driving our tech transformation. 

Culture

Learn about the people, programs and values of our tech organization. 

Case Studies

Explore how our partners solve problems using our technology solutions.

LATEST BLOG POSTS

Software Engineering

An Introduction to Testing with Data Build Tool

Manually testing and using different platforms for data integrity with DBT

Culture

Capital One 2022 Tech Event Calendar

Check out where we're headed.

Machine Learning

Accelerating Python with Hardware-Optimized Computing

A guide to linking numpy, scipy, and scikit-learn to BLAS and LAPACK for hardware-optimized linear algebra execution

Machine Learning

Securing Personal Devices with Machine Learning

An exploration of leveraging machine learning to limit data exfiltration on personal devices

FEATURED INNOVATORS

Machine learning is already enabling us to reduce friction and provide a topnotch experience for customers. When it comes to navigating and transacting in the online world, it will be important to continue finding ways to make it effortless while also helping people stay more secure and confident.
Improving Virtual Card Numbers with Edge Machine Learning

"What if we added a layer of intelligence on top of our applications, with a tool that monitors and pulls application data and determines not just that customers are unable to complete transactions, but why. And if it does so in real-time, and informs the appropriate engineers so that they can take corrective action, couldn't incidents be resolved in a fraction of the time."
Automated Detection, Diagnosis & Remediation of App Failure