A conversation with MLOps war stories. Better said, a war story conversation. The kind that informs modern MLOps best practices. Nick shared how to make MLOps organizational changes at large companies. I loved one tidbit he mentioned--"it's an evolution, not a revolution". That's a frank observation about the speed of practical change. As we all know it doesn't happen overnight. Another great learning Nick shared focused on the value of delivering incremental results regularly. Oftentimes, ML projects suffer because of a focus on delivering too much too soon. This can then lead to a trough of disappointment with the way things actually pan out. Nick shared his experience on how to avoid such pitfalls with us so you don't have to learn the hard way.
In this episode
Head of Data Science, Marks and Spencer
Nick currently serves as a Head of Data Science at Marks and Spencer, a large retailer based in the UK. With a background originally in statistics, he transitioned into data science in 2014 and has picked up many battle scars and learnings since.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.
Vishnu Rachakonda is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.