Read the abstract ➤ https://www.conf42.com/Machine_Learning_2023_Noa_Goldman_hitchhiker_guide_mlops_experience Other sessions at this event ➤ https://www.conf42.com/ml2023 Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:22 preface 0:30 ml engineers' lives can be challenging 2:31 the current solution 4:08 who is noa 5:09 what is mlops 6:06 mlops is important to ml engineers 6:44 the main components mlops should cover 7:07 data challenges 8:22 data versioning 10:26 data visualisations 14:08 experiments challenges 15:22 experiment tracking 17:29 the main components mlops should cover 17:41 models challenges 19:13 model registry 21:09 general ux tips 23:12 what is your favourite mlops experience? tell me!