Introduction to MLOps at the Edge

Introduction to MLOps at the Edge

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acciona: intelligent virtual measurement of water components

23 of 39

23 of 39

acciona: intelligent virtual measurement of water components

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Introduction to MLOps at the Edge

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

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