Existing fraud detection systems often grapple with a critical limitation – relying on stale data – which limits the ability to access data in real-time to prevent fraudulent activities before they happen.
Join MongoDB and AWS for a deep dive on-demand virtual workshop into Fraud Detection using MongoDB Atlas and Amazon SageMaker Canvas to learn how you can proactively identify and combat fraudulent activities, safeguarding systems and protecting customers.
By leveraging MongoDB Atlas as an operational data store you are able to accommodate high-volume transactional data with exceptional performance and flexibility. Coupled with Amazon SageMaker Canvas, leverage AI/ML solutions effortlessly with a no-code platform that brings the power of advanced analytics for fraud detection to your fingertips.
In this on-demand virtual workshop, you will learn:
- How to architect, design, build, and deploy applications with MongoDB Atlas in the AWS Marketplace
- How to identify and prevent fraudulent activities or transactions with a modern data architecture
- Data analytics and machine learning techniques to identify patterns and anomalies
- How to monitor transactions in real-time, analyze historical data, and flag any suspicious activity with with MongoDB Atlas and Sagemaker Canvas
You will hear from:
- Abhi Chakraborty: Senior Partner Solutions Architect at MongoDB
- Igor Alekseev: Data & Analytics Partner Solutions Architect at AWS