Key factors to successfully move ML/AI systems to production and generate value
About this talk
What can really make possible transforming a ML/AI business idea to a real-life product?
This talk will cover the key factors that are necessary for successfully moving machine learning and artificial intelligence systems to production and generating value from them.
Topics that will be discussed include data preparation, model selection and training, deployment and monitoring, and the importance of creating a clear and measurable plan for success.
Additionally, the talk will address common challenges that organizations face when deploying ML/AI systems, and provide strategies for overcoming these obstacles.
Stages covered by this talk
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