Oracle HeatWave AutoML provides integrated, automated, and secure machine learning (ML)—helping you build, train, and explain ML models without ML expertise, data movement, or additional cost. It’s available on Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), and Microsoft Azure.
Vendor
Oracle
Company Website
Why use HeatWave AutoML?
Build applications faster with integrated ML
Eliminate complex and time-consuming data movements to a separate ML service with integrated ML. Easily apply ML training, inference, and explanation to data stored either in MySQL Database or object storage.
Democratize machine learning
Automate the ML lifecycle, including algorithm selection, intelligent data sampling for model training, feature selection, and hyperparameter optimization. No ML expertise is required.
Support data security
Keep your data in one data management system with a single security configuration and centralized access controls. All communications are authenticated and encrypted.
Get more accurate results at lower cost
Train ML models up to 25X faster than Amazon Redshift ML at 1% of the cost, letting you retrain models more often and get more accurate results.
Key features of HeatWave AutoML
Comprehensive ML capabilities
HeatWave AutoML supports anomaly detection, forecasting, classification, regression, and recommender system tasks, including on text columns.
Built-in recommender system
By considering both implicit feedback (such as past purchases and browsing behavior) and explicit feedback (such as ratings and likes), the HeatWave AutoML recommender system can help, for example, generate personalized next purchase suggestions.
Explanable ML models
All the models trained by HeatWave AutoML are explainable. HeatWave AutoML delivers predictions with an explanation of the results, supporting you with trust, fairness, and regulatory compliance.
Data drift detection
Data drift detection helps analysts determine when to retrain models by detecting the differences between the data used for training and new incoming data.
Interactive console
The interactive console lets business analysts build, train, run, and explain ML models using a visual interface—there’s no need to know SQL commands or coding. They can also easily explore what-if scenarios to evaluate business assumptions.
Integrated with popular tools
HeatWave AutoML is integrated with popular notebooks, such as Jupyter and Apache Zeppelin.