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Francesco Baldassarri - Deliver Data at Scale - Codemotion Amsterdam 2019 -

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IoT revolution is ended. Thanks to hardware improvement, building an intelligent ecosystem is easier than never before for both startups and large-scale enterprises. The real challenge is now to connect, process, store and analyze data: in the cloud, but also, at the edge. We’ll give a quick look on frameworks that aggregate dispersed devices data into a single global optimized system allowing to improve operational efficiency, to predict maintenance, to track asset in real-time, to secure cloud-connected devices and much more.

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Francesco Baldassarri - Deliver Data at Scale - Codemotion Amsterdam 2019 -

  1. 1. Deliver Data at Scale, at the Edge and in the Cloud Francesco Baldassarri Amsterdam | April 2-3, 2019
  2. 2. Nice to meet you! Francesco Baldassarri Developer Relations Manager and Technical Evangelist email: francesco@francesco.world Twitter/Telegram: @francesco_1985​ it.linkedin.com/in/fbaldassarri​
  3. 3. Deliver Data... Devices Fleet
  4. 4. Deliver Data... Devices Fleet “16 Million units by 2020”
  5. 5. Deliver Data... Devices Fleet Gateways Data
  6. 6. Deliver Data... Devices Fleet Gateways Data Terabyte… ...Petabyte… ...Exabyte!!!
  7. 7. Deliver Data... Devices Fleet Gateways Data Data Cloud Infrastructure Storage Network Nodes Analytics AI / ML / DL Ingestion Functions Data Presentation Application CPUs / GPUs
  8. 8. ...at Scale... Cloud Infrastructure Storage Network Nodes CPUs / GPUs
  9. 9. ...at Scale... Cloud Infrastructure Storage Network Nodes ...requesting more and more cloud resources. CPUs / GPUs
  10. 10. ...at Scale... Cloud Infrastructure Storage CPUs / GPUs Network Nodes
  11. 11. ...at the Edge... Bringing onboard intelligence of Cloud to the IoT devices...
  12. 12. Devices Fleet Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU ...at the Edge... ● ML inference at the Edge ● Dedicated TPUTM and VPU ● Local compute ● Run on Android Things and on various GNU/Linux-based OS ● Support enhanced security through hardware-root-of-trust ● Securely connected devices to Cloud providers ● Works seamlessly with cloud for hassle-free device provisioning ● Serverless scalability
  13. 13. Devices Fleet Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU ...at the Edge... Intel's Myriad™ X VPU AAEON Up AI Edge Google’s TPU™
  14. 14. Devices Fleet Gateways LESS Data Cloud Infrastructure Storage Network Nodes Analytics AI / ML / DL Ingestion Functions Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU LESS Data Data ...at the Edge... Presentation Application CPUs / GPUs
  15. 15. ...and in the Cloud Fetch Clean Prepare Train Model Evaluate Model Monitor / Prediction / Projection Tune Model Parameters Deploy Updated Model ★ continuous deploy/optimization of training model ★ update remotely OTA in real-time ★ on selected group of devices
  16. 16. Devices Fleet Gateways Data Cloud Infrastructure Storage Network Nodes Analytics AI / ML / DL Ingestion Presentation Functions Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU Data Data Application ...and in the Cloud Update config & deploy new ML model Update config & deploy new ML model Review CPUs / GPUs
  17. 17. Devices Fleet Gateways Data Cloud Infrastructure Storage CPUs / GPUs Network Nodes Analytics AI / ML / DL Ingestion Presentation Functions Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU Data Data Application ...and in the Cloud Control Update config & deploy new ML model Review
  18. 18. eu.mouser.com/new/google/edge-tpu-accelerator eu.mouser.com/new/google/edge-tpu-dev-board eu.mouser.com/intel-neural-compute-stick-2 eu.mouser.com/new/Intel/intel-movidius-stick eu.mouser.com/aaeon-up-ai-core eu.mouser.com/aaeon-up-ai-core-x
  19. 19. and Enjoy Codemotion Amsterdam That’s all, Folks! Thank You

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