Machine learning initiatives face challenges such as managing reproducibility, intellectual property loss, and visibility, prompting a need to rethink current workflows. Niko Laskaris, during a webinar, will explore how machine learning experiment management platforms like Comet.ml can enhance data science teams' ability to track, compare, explain, and reproduce machine learning experiments, thereby boosting collaboration, productivity, and visibility. The webinar aims to educate data scientists on the benefits of such management tools and why traditional software engineering practices may not be suitable for machine learning contexts. The event is scheduled for December 10 at 2pm ET, and interested individuals can subscribe to the Comet Newsletter for regular updates on machine learning developments. Niko Laskaris, the webinar host, brings a wealth of experience from his work in climate research, computer vision, and educational consulting.