5 ways to fail scaling MLOps and Responsible AI within your organisation.


Scaling MLOps within an organisation is not an easy task technically and transformation wise. And what if you need to add Responsible AI on top of it? And let's not forget about all the challenges associated with GenAI. In this talk I will highlight some of the most common pitfalls experienced by organisations while scaling MLOps and implementing Responsible AI from technical and non-technical perspectives. 

My goal is to help you to recognize the first signs of "MLOooops" happening and equip you with powerful mitigations techniques. This talk is for Data and AI engineers, AI product owners, Data and AI engineering managers, Heads of Data and AI and anybody else involved in MLOps and Responsible AI.


Alyona Galyeva

Principal MLOps and Data Engineer
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