Technology Labs Podcast: MLOps
MLOps (With Tia Nikolic from Sogeti and Ed Shee from Seldon.io)
The term “MLOps” refers to deploying, managing, and monitoring machine learning models in production. It takes best practices from the field of DevOps and utilizes them for the unique challenges that arise running machine learning systems in production. In this episode, MLOps is the main subject. Tia and Ed are our guests and provide valuable insights about this exciting subject!
During this episode, we discussed the following tech updates:
Spotify Car Thing gets ‘add to queue’ and call answering features
Researchers in Hong Kong create ‘soft robot’ made of magnetic slime
About Rik Marselis
Rik Marselis is principal quality consultant at Sogeti in the Netherlands. He has assisted many organizations in improving their IT-processes, in establishing their quality & testing approach, setting up their quality & test organization, and he acted as quality coach, qa-consultant, test manager and quality supervisor. Rik uses his more than 40 years of experience in systems development and quality and testing to bring fit for purpose solutions to our clients. He focuses at three major tasks: * Consultancy on Quality engineering & Testing in the broadest sense (quality & test policy, project startup, process improvement, coaching, second-opinions, etc…) * Develop and give training courses for both novice and experienced testers (Rik is an accredited trainer for TMAP, TPI and ISTQB certification training courses) * Research and development of the quality engineering & testing profession. Rik has contributed to over 20 books on quality and testing, of which 5 as an main author and 5 as project leader. His most recent book in the TMAP body of knowledge is “Quality for DevOps teams”. Rik is a much-appreciated keynote-speaker and workshop-host at conferences (he has presented at conferences in over 15 countries).
More on Rik Marselis.