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Model Execution Performance and Integration Understanding

#modelperformance #modeldeployment #datascience

Article referenced in the video - https://www.linkedin.com/pulse/integrating-machine-learning-models-within-matured-srinivasan/

In this phase we will understand model execution SLA, integration need and other non functional requirement

Understanding model execution SLA is key for infrastructure sizing as well as understanding feasibility of AI/ML project. Integration plays a key role to understand how model works seamlessly with business process. This the phase that determines accuracy vs performance trade off

Other non functional requirement can be to understand if model needs to be deployed on low memory, low CPU infrastructure or backup rules if scoring fails among others

Видео Model Execution Performance and Integration Understanding канала AIEngineering
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