Architecture for leveraging Machine Learning and managing its shortfalls and risks

What components or attributes are needed in Enterprise Architecture for ML? Beyond MLOps - how do we risk manage the deployment and integration of AI/ML into our organisations. In particular the latest generation of LLM type models?

What are the architectural and risk challenges of deploying Generative AI into enterprises? In this episode we get into the details of what is needed to deploy and integrate LLMs such as GPT safely and scalably within organisations.

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