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mlops - machine learning operations
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Classroom Contents
Introduction to MLOps at the Edge
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- 1 intro
- 2 preface
- 3 the cloud is broken
- 4 ¿why is it broken?...
- 5 ...dependence on the internet
- 6 ...high latency
- 7 ...service availability
- 8 ...loss of control
- 9 ...cost management
- 10 ...vendor lock-in
- 11 ...security and privacy
- 12 ...compliance
- 13 ¿which is the solution? #edge is the new cloud
- 14 ¿what is edge computing?
- 15 edge computing drivers...
- 16 ...low latency
- 17 ...lower bandwidth consumption
- 18 ...increased privacy and security
- 19 ...greater availability and autonomy
- 20 different types of edge
- 21 impact radar for 2023
- 22 index
- 23 acciona: intelligent virtual measurement of water components
- 24 edp: energy flexibility in self-consumption systems
- 25 edge computing ♥ ai - the architecture of alexa
- 26 maybe the cloud is not broken... maybe it just needs some friends
- 27 edge ♥ cloud ♥ ai - a powerful combination
- 28 ¿how do we manage this complexity?
- 29 mlops - machine learning operations
- 30 edge ♥ cloud ♥ ai - mlops cycle
- 31 mlops challenges
- 32 architecture and frameworks...
- 33 ...edge computing platforms...
- 34 ...native providers
- 35 barbara
- 36 technological stack
- 37 demo
- 38 applications
- 39 thank you
