Data Evaluations¶
Increase your data science experimentation capacity and seamlessly collaborate with third-parties with the integrate.ai Federated Data Science Platform. Our data evaluation capabilities make it safe and easy for organizations to connect to external or private data for rapid experimentation. Data science teams can comprehensively evaluate new datasets in their own environment, all without having to move data.
In the age of AI, the winners will be those who can test and iterate on external data the fastest. Our platform enables data consumers to quickly triage through providers of external data and models to identify signal from noise, and make fast decisions on which data to invest in purchasing and onboarding.
Our platform brings together data evaluations and data science collaborations between carriers and providers. Spend less time managing lengthy PoCs, and more time identifying the best data and improving your most critical models.
Problem: Sharing Data Creates Friction
Working with third-party data is a difficult process. When data moves between organizations, it leads to compliance, risk, and security hurdles that result in significantly less testing and innovation.
Solution: Experiment, Without Sharing Data
The integrate.ai platform, powered by federated learning technology, enables organizations to safely and easily connect to external or private data for fast experimentation—without sharing the data. Data science teams can thoroughly evaluate new datasets within their own environment, eliminating the need for lengthy PoCs and accelerating innovation.
integrate.ai’s Data Evaluation Approach¶
integrate.ai’s data evaluation solution for data consumers and providers takes a phased approach.
The three main phases of the evaluation flow are:
Relevance Analysis - Test data relevance via match rate, fill rate, and statistical analyses
Predictive Power Training - Test predictive power and feature importance via model-based testing
Model Boost - Test model boost with a re-creation of your production model