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Visual AI for Automated Machine Learning
Help Your AI See the Big Picture
In Release 6.0 of DataRobot, we are thrilled to announce a ground-breaking new capability in our Automated Machine Learning product. DataRobot Visual AI gives you the ability to easily incorporate image data into your machine learning models alongside tabular and text-based data types. This enables your organization to get value from computer vision, right away – all with the same DataRobot usability, workflow, visuals, and other UI features you know and love.
To get started, visit the Visual AI page, and read the introduction to Visual AI blog.
AI Applications
Unlock the Value of AI Today
Many organizations struggle with getting the transformational power of AI into the hands of key decision makers. With Release 6.0, any machine learning model can be turned into an AI Application, enabling anyone in your organization to interact with the predictive insight of the underlying model. Users get the power to experiment with different scenarios, predict results, and make more informed business decisions.
To get started, visit the AI Applications page.
Automated Deep Learning
DataRobot Demystifies and Democratizes Deep Learning
We have significantly boosted our deep learning capabilities in Release 6.0, and introduced a new Keras-based model framework. We have new blueprints for your tabular and text data, new models optimized for images, and LSTM/RNN models for time series use cases. We also built a new neural network visualizer that shows you details of each layer in the network. Our models are easy to build and deploy in just a few clicks, have been obsessively tested on real-world data, and do not require GPU accelerated hardware so you can use the infrastructure you already have in place.
Paxata
AI-Assisted Data Preparation for Machine Learning
In Release 6.0, Paxata’s AI-assisted data preparation solution seamlessly integrates with the DataRobot AI Catalog to empower novice and expert users to rapidly explore, clean, combine, and shape data for training and deploying machine learning models and production data pipelines. Data science teams can collaborate, reuse, and share data sources, datasets, and recipes with full enterprise governance and security to ensure compliance with organizational policies.
To learn more, visit the DataRobot Paxata page.
MLOps
Putting AI to Work in Production
Many data science projects can't generate value because they are not running in production. DataRobot MLOps gives you the ability to deploy, monitor, manage, and govern machine learning models in production environments. MLOps now includes pre-packaged model environments so you can drag-and-drop model files (developed in languages such as Python and R) and deploy them to Kubernetes. The release also includes unlimited batch scoring with integration to leading cloud storage providers for massive scale, as well as MLOps monitoring agents that can capture metrics from models deployed to almost any environment.
To learn more, visit the DataRobot MLOps page.
자동 시계열
Powerfully Purposeful Forecasting
DataRobot Automated Times Series brings absolute flexibility and uncompromising time-aware forecasting to the masses. Automated Time Series now features new deep learning techniques that remove the traditional forecasting barriers to make easy work of large-scale multi-series applications. Automated support for intra-month seasonality and zero-inflated strategies allow you to create highly accurate forecasts.
To learn more, visit the DataRobot Automated Time Series page.