ML/AI at the Speed of Business
Collaboratively build best-in-class Machine Learning applications in hours using 300+ pre-built drag-and-drop processors in Sparkflows Big Data ML Workbench and make data driven decisions in real time
De-dupe, aggregate, join and clean data with 50+ data processors. Even bring in third-party data to enrich to generate deeper insights.
Identify features that affect the model or just do unsupervised learning with just few clicks.
Choose the right model, train and test and choose the one that predicts more accurately. Re-train with more data for better results.
Deploy on the stack of your choice. Deploy via Docker image or otherwise on any of the cloud providers for ML model deployment.