From extraction of features, feature engineering, model generation and evaluation—intuitive interfaces guides users through the rapid development of cutting edge algorithms.
Intelligent dataset recognition. Native support for Hadoop file system.
Customizable filters and parameter definition.
EVALUATE MODEL PERFORMANCE
Understand model performance with advanced metrics.
Fraud teams can now tap into machine learning power to make risk decisions. Build, test and deploy predictive models that block fraud and reduce manual reviews.
Data science using clicks, not code.
A blueprint for data science.
Guided step-by-step plans for transforming data into smart models that are better than rulesets.
Sampling made simple.
Create test samples in minutes pulling from multiple data sources from anywhere within your organization.
Anyone can build full-featured data models using a point-and-click interface, no programming needed.
Your old rules no longer work and your people-power fails to scale. You want systems that automatically learn and predict. You need machine learning that is based on data science.
You’re not making confident decisions, sitting atop isolated and dormant data. You want to make complete, data-backed decisions at real-time speed. You need machine learning that runs at big data scale.
Your blackbox risk scoring systems don’t simplify the complex. You want command and control of decisioning system that is transparent. You need machine learning that has Whitebox answers.
Your internal fraud engine isn’t best of class. You want to upgrade to machine learning and get started quickly. You want machine learning with a flexible API.
Your customers demand engagement that is everywhere. You want to transcend channels and silos. You want machine learning that is omnichannel-ready.
Steep learning curve. With legacy systems, users are required to have advanced training in data science.
Data silos. Environment for model training is disconnected from runtime environment.
Slow to train. Training cycles are slow and iteration takes months and weeks.
A blueprint for data science. Guided step-by-step for transforming data into smart models that are better than rulesets.
Sampling made simple. Create test samples in minutes pulling from multiple data sources from anywhere within your organization.
Intuitive modeling: Anyone can build full-featured data models using a point-and-click interface, no programming needed.
Other tools require users to build models during training, and then spend an enormous amount of time to build a system that is actually able to compute the features at run-time. With Feedzai’s Data Science Studio, the same engine that computes the training model also computes the run-time features for the production model. Seamless and simple for anyone to develop advanced machine learning models.