Splice ML Manager is an integrated machine learning platform that minimizes data movement and enables enterprises to deliver better decisions faster by continuously training the models on the most updated available data.
With Splice ML Manager, data science teams are able to produce a higher number of more predictive models as they are empowered to:
- Experiment frequently using diverse parameters to compare model effectiveness
- Leverage updated operational data to concurrently train the model
- Minimize the movement of data by running the models in the database
- Compress the time from model deployment to action
End-to-End Lifecycle Management for Your ML Models
Splice ML Manager provides end-to-end lifecycle management for your ML models, thereby streamlining and accelerating the design and deployment of intelligent applications using real-time data.
ML Manager through its tight integration with Splice Machine’s data platform results in reduced data movement that empowers data scientists to conduct a higher number of experiments to derive better feature vectors with more signal and compare algorithms with varied parameters to build better models in a limited amount of time.