Feedzai and Data Robot team up for financial crime detection

Feedzai and DataRobot have partnered to allow banks, merchants, processors, and other financial institutions to incorporate DataRobot machine learning models directly into the Feedzai platform to create a platform for financial crime detection.

Feedzai is a provider of fraud prevention and anti-money laundering products built on artificial intelligence. DataRobot is widely used throughout the banking industry to automate the creation of advanced machine learning models to mitigate exposure to many types of risk, including fraud detection and anti-money laundering.

The models are integrated into Feedzai’s end to end omnichannel platform purposely built for financial crime detection, including sub-10 millisecond latencies and high availability. Furthermore, data scientists gain the flexibility to perform the entire data science loop (data cleaning and analysis, feature engineering, model training and testing) within the Feedzai platform, or augment the process by importing an external model, using the expertise of the broader data science ecosystem.

Additionally, after creating or importing a model, customers can use Feedzai’s AI tools to boost detection such as its automated rules engine, advanced link analysis, Risk ledger, and Genome.

Read the full release

Related Posts

Previous Post
OpenRisk Technologies joins Wells Fargo startup accelerator
Next Post
Mimiro raises $30mn for ML platform analyzing counterparty risk profile

Related Posts

Fill out this field
Fill out this field
Please enter a valid email address.


Reset password

Create an account