Introduction to MLOps at the Edge | Alejandro Cantos | Conf42 Machine Learning 2023
Read the abstract ➤ https://www.conf42.com/Machine_Learning_2023_Alejandro_Cantos_introduction_mlops_edge Other sessions at this event ➤ https://www.conf42.com/ml2023 Join Discord ➤ https://discord.gg/DnyHgrC7jC Barbara ➤ https://barbaraiot.com/ Chapters 0:00 intro 0:22 preface 0:33 the cloud is broken 1:02 ¿why is it broken?... 1:14 ...dependence on the internet 1:43 ...high latency 2:15 ...service availability 2:37 ...loss of control 3:19 ...cost management 4:14 ...vendor lock-in 5:04 ...security and privacy 5:43 ...compliance 6:25 ¿which is the solution? #edge is the new cloud 7:04 ¿what is edge computing? 8:54 edge computing drivers... 9:03 ...low latency 9:56 ...lower bandwidth consumption 10:48 ...increased privacy and security 11:22 ...greater availability and autonomy 12:13 different types of edge 15:07 impact radar for 2023 15:37 index 16:14 acciona: intelligent virtual measurement of water components 19:55 edp: energy flexibility in self-consumption systems 23:55 edge computing ♥ ai - the architecture of alexa 28:36 maybe the cloud is not broken... maybe it just needs some friends 28:56 edge ♥ cloud ♥ ai - a powerful combination 29:12 ¿how do we manage this complexity? 29:43 mlops - machine learning operations 30:04 edge ♥ cloud ♥ ai - mlops cycle 30:52 mlops challenges 32:07 architecture and frameworks... 32:17 ...edge computing platforms... 34:43 ...native providers 35:23 barbara 35:33 technological stack 40:16 demo 45:32 applications 46:20 thank you