Best Practices of In-Platform AI/ML
Productive use of Machine Learning(ML) and Artificial Intelligence(AI) technologies is impossible without a platform that allows autonomous functioning of AI/ML mechanisms. In-platform AI/ML has a number of advantages that can be obtained via best practices with InterSystems IRIS.
In this webinar, we will present:
- MLOps as the natural paradigm for in-platform AI/ML
- Full cycle AI/ML content development and in-platform deployment (including bidirectional integration of Jupyter with InterSystems IRIS)
- New toolset added to ML Toolkit: integration and orchestration for Julia mathematical modeling environment
- Automated AI/ML model selection and parameter determination via an SQL query
- Cloud-enhanced ML
- Featured use case: hospital readmission prediction (InterSystems IRIS & third party models)
The webinar will be useful for anyone interested in productive AI/ML implementation.