Machine learning operations (MLOps) and model lifecycle platforms help data science, machine learning engineering, software engineering, and operations teams build, reproduce, validate, deploy, govern, monitor, and update machine learning models in production.
AI Infrastructure & Development Platforms are integrated environments for building, customizing, deploying, and governing AI models and applications.
Data preparation tools are a new class of software products designed to enable business analysts and data scientists to bypass data warehouses to perform some data integration and data preparation themselves before analysis.
Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being expl…