This is Machine Learning at Capital One
From random forests to causal models, explore how we use machine learning for better banking.
We’re creating real-time, intelligent, automated customer experiences using artificial intelligence in financial services. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.
AI and ML Priority Areas
Graph ML
Using ML on nodes and edges of financial networks to more accurately identify fraud
NLP
Teaching intelligent assistants to understand and generate natural language
Explainable AI
Creating transparency and ensuring fairness through explaining ML models
Anomaly Detection
Identifying changes in data to protect customers and adapt to fluctuating environments
Data and Privacy
Developing models and techniques for protecting sensitive customer data
ML at Scale
Building systems to scale the entire model building and deployment process
Partnerships
Working with Leading Universities to Advance AI
We partner with the nation’s top universities to further research on AI/ML explainability, fairness and ethics.
Events
Here, there and everywhere
We're sponsoring and attending several AI and ML conferences. Check out where we'll be next.
Hiring
Come Work with Us
Come help us change banking for good by using technology to serve our customers quicker and more easily than ever.
Featured Machine Learning Articles
Machine Learning
5 reasons to use machine learning for improved data quality
By Vinod Chandrasekharan, Vice President, Product, Capital One Data Insights
Machine Learning
5 reasons to use machine learning for improved data quality
Machine Learning
New Forrester Report on Operationalizing Machine Learning
ML is beginning to drive business impact, with automated anomaly detection as the top priority in the next one year to three years
Machine Learning
Best Practices For Impactful Machine Learning Platforms
Advice for building enterprise platforms
Machine Learning