The Quickpath Platform has four key capabilities required for production data science.
Universal Model Management
Central repository of all models and decisions. This includes tracking of every model, outcome, and data used to make a decision, reporting and analytics, and proactive drift and anomaly detection.
Ability to use models, data, and rules in real-time to make recommendations that drive the most business value.
Integration of people, process, and technology that support AI
Open architecture to connect and integrate with the relevant systems.
Elastic Runtime Environment
Configure and scale elastic runtime environments to run anywhere.
The Machine Learning Lifecycle
Bring your production data stores and your trained models and Quickpath will define the ML-based decision, execute in real-time, provide management and governance, and close the model learning loop.
Quickpath lets you connect your data, scoring frameworks, and applications within Decision Studio.
Define brings it all together: data, ML, decisions, and integration.
Quickpath's low- or no-code design palette helps you be up to ten times as productive, compared to ground-up development. Orchestrate sophisticated decision flows, allowing for data acquisition and feature transformations, scoring, A/B tests, control groups, and even ensemble models. Then, test and validate everything right from the platform.
Universal Model Management with Quickpath's
powerful, elastic infrastructure.
Once you’ve designed your decision flow, deploy them easily to multiple production environments. All your models are stored in a repository, letting you manage internal and external models no matter where they're running. Quickpath's powerful capabilities let everyone from data scientists to IT Ops keep tabs on model performance, operations, drift, and anomalies. Should anything deviate from historical trends, Quickpath will let you know.