In Episode 38 of Season 3, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Sami Rahman, Head of Data Engineering and Data Platform at Penguin Random House, where they discuss how to build an MLOps capability that drives business benefit, which includes;

His journey from Business Psychologist to MI5 reject to Data Leader
Being told to give up because he would never work in data without a computer science degree
Being unemployed for 1 year and receiving 326 rejections
Building an entire MLOps system for £50,000
Reducing the time to build models from months to days
Reducing the time to productionise ML models from 5 months to minutes s
Generating a 200% increase in performance across all 12 measures of success
Why MLOps forces you to think about how the model will drive value
How MLOps can be beneficial across the whole D&A value chain
The differences between MLOps and AIOps
Why MLOps isn’t new DevOps
The future of MLOps and the relationship with Genertaive AI
Choosing the right MLOps tech and tooling
Why you need to explain MLOps in less than 2 sentences
When you should start your MLOps journey
The usual pitfalls both technical and business that people should be aware of
The ethical considerations
AI Explainability - how to understand the outcomes in a business context
Why we should build an “evil” AI to tackle bias
The skills you need to execute successful MLOps

S3 | Ep 38 | Building Value with MLOps with Sami Rahman, Head of Data Engineering and Data Platform at Penguin Random House