In this MLOps Meetup, we talked about the Machine Learning model lifecycle and development stages and then analyze the main mistakes that everybody does at each stage. Kseniia also provided the audience with solutions to the mistakes and we discussed existing tools for experiment management.
In this episode
Product Owner (Data/AI), SoftwareOne
Kseniia is a product owner for Data/AI-based products. Right now, she is working mostly with numeric data analysis, customer insights and product recommendations. Previously Kseniia worked at Samsung Research with the biometrics team. She was studying computer science in Russia(Moscow) and a little bit of management in South Korea (Seoul). One of the most interesting directions of research - Model Lifecycle Management Systems and Reproducibility.
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.