Best practices of in-platform AI/ML
Productive use of machine learning and artificial intelligence 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 by InterSystems.
On our webinar, we will present:
• MLOps as the natural paradigm for in-platform AI/ML – Aleksandar Kovacevic
• Full cycle of AI/ML content development and in-platform deployment (including bidirectional integration of Jupyter with InterSystems IRIS) – Eduard Lebedyuk
• New toolset added to ML Toolkit: integration and orchestration for Julia mathematical modeling environment – Eduard Lebedyuk
• Automated AI/ML model selection and parameter determination via an SQL query – Sergey Lukyanchikov
• Cloud-enhanced ML – Anton Umnikov
• Featured use case demo: hospital readmission prediction (addresses running in InterSystems IRIS of the models trained outside the platform’s control) – David Lepzelter
The webinar will be useful for anyone interested in productive AI/ML implementation.
Apr 28
11:00 AM in Central Time (US and Canada)
17:00 Paris time zone
