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Best Practices of In-Platform AI/ML

Best Practices of In-Platform AI/ML

Available on-demand

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.

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