Coffee Sessions #67

ML Stepping Stones: Challenges & Opportunities for Companies

In this coffee session, John shares his observations after working with multiple companies which were in the process of scaling up their ML capabilities. John's observations are mostly around changes in practices, successes, failures, and bottlenecks identified when building ML products and teams from scratch. John shares a few thoughts on building long-term products vs short-term projects, on the important non-ML components, and the most common missing pieces he sees in today's ecosystem. John also elaborates on how those challenges and solutions can differ for different company sizes.

Take-aways

* Projects vs products * Model vs System * Differences across companies * ML maturity assessment (shared on ML community) * Missing pieces in existing solutions

In this episode

John Crousse

John Crousse

Freelance Machine Learning Engineer, Ahold Delhaize

John always liked CS/ML/AI but wasn't such a hot topic back then. He found opportunities to work on models in the Financial industry as a consultant from 2007 to 2017 then he went freelance to move outside of the financial industry, and focus on AI/ML. John likes to do things efficiently, and MLOPs is the bottleneck, so he ended up spending more time on MLOPs than models lately. John finished his CS degree in 2007.

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

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.

Adam Sroka

Adam Sroka

Host

Dr. Adam Sroka, Head of Machine Learning Engineering at Origami Energy, is an experienced data and AI leader helping organizations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. Adam shares his thoughts and ideas through public speaking, tech community events, on his blog, and in his podcast.