Everyday millions of machine learning models are built by analysts and data scientists everywhere, and only a few of them make it to production, and continue to provide value over time. At Predera we have built AIQ, an MLOps & monitoring engine to help Data Scientists with the tedious job of deploying and managing ML, by collecting and leveraging the rich semi-structured data created in the entire machine learning development life cycle.
AIQ is language agnostic, plugs into most popular machine learning (ML) libraries across cloud / on-premise to continuously monitor data, track model quality and provide real-time insights to manage robust, high quality machine learning applications.
Azure Machine Learning Studio - Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
cnvrg CORE - Free ML Platform for everyone
Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
Dataiku DSS - Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.
Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.