Explore the world of MLOps at the edge in this comprehensive conference talk from Conf42 Machine Learning 2023. Delve into the limitations of cloud computing, including internet dependence, high latency, and security concerns. Discover edge computing as a solution, learning its drivers, types, and benefits such as low latency and increased privacy. Examine real-world applications in water management and energy flexibility. Understand the synergy between edge, cloud, and AI, and how MLOps manages this complexity. Gain insights into edge computing platforms, technological stacks, and potential applications through a detailed demo and expert analysis.
Overview
Syllabus
intro
preface
the cloud is broken
¿why is it broken?...
...dependence on the internet
...high latency
...service availability
...loss of control
...cost management
...vendor lock-in
...security and privacy
...compliance
¿which is the solution? #edge is the new cloud
¿what is edge computing?
edge computing drivers...
...low latency
...lower bandwidth consumption
...increased privacy and security
...greater availability and autonomy
different types of edge
impact radar for 2023
index
acciona: intelligent virtual measurement of water components
edp: energy flexibility in self-consumption systems
edge computing ♥ ai - the architecture of alexa
maybe the cloud is not broken... maybe it just needs some friends
edge ♥ cloud ♥ ai - a powerful combination
¿how do we manage this complexity?
mlops - machine learning operations
edge ♥ cloud ♥ ai - mlops cycle
mlops challenges
architecture and frameworks...
...edge computing platforms...
...native providers
barbara
technological stack
demo
applications
thank you
Taught by
Conf42
