The DataRobot enterprise AI platform accelerates and democratizes data science by automating the end-to-end journey from data to value. This allows you to deploy trusted AI applications at scale within your organization. DataRobot provides a centrally governed platform that gives you the power of AI to drive better business outcomes and is available on your cloud platform-of-choice, on-premise, or as a fully-managed service.
All User Types
Persona-centric user experiences tailored for AI creators, operators, and consumers.
End-to-End Acceleration
Automated data science best practices to prepare, build, deploy, and maintain AI-driven applications at enterprise scale.
Governed and Trusted
Centrally managed, human-centric AI that consistently shares your unique values and ethics.
AI You Own
A portable system that runs on your platform-of-choice, so you can keep your IP and avoid vendor lock-in.
No Coding
Its a industrial no code tool empowering business to create intelligence in less time and quickly
CreateML is a user-friendly drag-and-drop platform by Apple that allows you to train models on your Mac device without coding. It can help you build classifiers and recommender systems. The tool can process images, videos, photos, tabular data, and texts. The model you get can be tested and deployed in IOS applications. You can preview the model’s performance and pause, save, resume, and extend your training process whenever you like. CreateML allows you to train multiple models on different datasets at once for a single project. It has standard Apple SDK and documentation that includes code samples and explanatory articles.
AutoViML is a no code tool that enables anyone to build a machine learning model fast. It automatically renders your data through different machine learning models in order to discover which one gives the best results in each particular case. Another great plus is that you don’t have to preprocess your data; AutoViML automatically cleans, transforms, and normalizes it. The program works with different types of variables, including textual, numeral, and visual data.