If you're looking for a no-code machine learning platform that can automate the entire ML pipeline, Cortex is a great option. It automates data wrangling, feature engineering, and model selection, allowing data scientists to create new pipelines in under 30 minutes. The platform integrates with various data sources like data lakes, data warehouses, and CRMs, making it ideal for onsite decisioning, advanced segmentation, and marketing decisioning.
Another excellent platform is Obviously AI, which automates data science workflows without requiring much coding. It supports various use cases such as classification, regression, and time series forecasting. The platform offers fast model creation, one-click deployment, automated model monitoring, and real-time REST APIs for integration and visualization, making it suitable for business analysts, sales and marketing operations professionals, and data scientists.
PI.EXCHANGE offers an end-to-end ML pipeline that includes data preparation, model development, and deployment. It supports a variety of machine learning problems and use cases across industries. The platform provides data visualization tools, recommended optimal features and algorithms, and integrates with various tools and platforms, making it a versatile choice for teams and individuals.
For those interested in generative and predictive workflows, DataRobot AI Platform is a strong contender. It allows users to quickly build and deploy AI solutions while providing enterprise monitoring and control. Recognized as a leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms, DataRobot offers a flexible AI ecosystem that supports rapid innovation and deep ecosystem integration with multiple cloud environments and systems.