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Editor's Notes

  1. Team cloud native Di cosa parleremo stasera
  2. Tema di cui tutti ne parlano e forse pochi sanno davvero cos’è realmente….quali sono le potenzialità…. Dire IL MACHINE LEARNING
  3. Cloud…..anche questo argomento di cui se ne parla sempre di più sia a livello enterprise che consumer e…..
  4. Perché è venerdì sera….magari qualcuno vorrebbe essere al bar a bere una birra…e invece siete qui ad ascoltare me È venerdì sera…c’è aria di week end……
  5. The dark side perché sia ML che il cloud sono visti come entià oscure…magia…. Da una parte il cloud…una nuvola dove possiamo memorizzare informazioni e accederci ovunque Dall’altra ML anche qui magia….predizione del futuro….riconoscimento di entità all’interno di un’immagine…..ci metterei dentro anche robot….
  6. Quindi andiamo a vedere un po ne dettaglio lo stack cloud… IaaS  macchine virtuali….noleggio di harware PaaS  l’idea di non avere solo hardware ma una piattaforma in grado di aiutare lo sviluppo di applicazioni FaaS  l’estremo opposto…. Software aaS.... Serverless….l’astrazione dove ci si concentra sulle logiche business…funzionalità..demandando completamente la gestione hardware
  7. Se andiamo a vedere quello che è lo stack cloud per applicazioni di machine learning abbiamo Mlaa Infrastraucture Mlaa P Mlaa Function  Mlaa Service … Mlaa API
  8. TPU Edge TPU
  9. Machine Learning Inference at the Edge Using AWS Greengrass Sagemaker RL SageMaker Neo  ottimizza automaticamente i modelli di apprendimento automatico migliorandone le prestaz Marketplace Mechnical turk Elastic inference
  10. Molti problemi possono essere risolti nello stesso modo….casi generali
  11. Presentazione
  12. Pensare dall’inizio come strutturare app per machine learning Scalabilita enterprise oriented
  13. La parte di serving è la piu importante a/b testing Money maker
  14. Barriera ingresso
  15. Storage dataset pubblici In alcuni momenti potrebbe sembrare creepy
  16. Più gente puo sfrutare il potenziale Difficile stare dietro all’avanzamento tecnologico
  17. No GDPR regulation