Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Machine Learning and Internet of Things


Published on

Internet of things as data collection and process data with machine learning

Published in: Technology
  • Be the first to comment

Machine Learning and Internet of Things

  1. 1. Machine Learning and Internet of Things Sofian Hadiwijaya Intel Innovator – Internet of Things
  2. 2. About Me Sofian Hadiwijaya @sofianhw Intel Software Innovator – IoT Tech Advisor - Co-Founder -
  3. 3. 10/3/16Intel Confidential 3 What is Internet of Things The Internet of Things (IoT) is the physical objects or "things" embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator and/or other connected devices based on the infrastructure
  4. 4. 10/3/16Intel Confidential 4 How Big IoT Market
  5. 5. How Big IoT Market
  6. 6. 10/3/16Intel Confidential 6 IoT Architect
  7. 7. IoT Architect
  8. 8. 10/3/16Intel Confidential 8 How to Make IoT
  9. 9. Sensor
  10. 10. Connectivity
  11. 11. Process
  12. 12. 10/3/16Intel Confidential 12 Fast Evolution of Technology
  13. 13. “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tas ks in T, as measured by P, improves with experience E”
  14. 14. 10/3/16Intel Confidential 14 What is Machine Learning 14 Machine Learning, a key tool forAI, is the development, and application of algorithms that improvetheir performance at some task based on experience (previousiterations) Training: Build a mathematical model based on a data set Scoring: Use trained model to make predictions about new data Deep Learning Algorithms where multiple layers of neurons learn successively complex representations RBM …RNNCNN Statistical/ OtherMachineLearning Algorithms based on statistical or other techniques for estimating functions from examples GA Linear Regression SVM Naïve Bayes
  15. 15. 10/3/16Intel Confidential 15 End to End Workflow 15 Things Data Annotation Label & Prep Data Model Deployment Over-the-Air Secure & Real Time Model Scoring App Dev & Runtimes Embedded OS Model Update Track Model Drift Manage Model Lifecycle New Data New Model Data Aggregation Data Curation Catalog Data Sets Model Training Train forAccuracy Model Validation Run Simulations Cross-Validate Distributed SystemsData Acquisition Model Performance Tune for Performance Analyze Longitudinal Effects
  16. 16. Machine Learning and Internet of Things
  17. 17. Background 10/3/16Intel Confidential 17
  18. 18. 10/3/16Intel Confidential 18
  19. 19. 10/3/16Intel Confidential 19
  20. 20. 10/3/16Intel Confidential 20
  21. 21. 10/3/16Intel Confidential 21
  22. 22. 10/3/16Intel Confidential 22
  23. 23. Nodeflux 10/3/16Intel Confidential 23
  24. 24. Nodeflux 10/3/16Intel Confidential 24
  25. 25. Data Collection
  26. 26. Nodeflux 10/3/16Intel Confidential 26
  27. 27. Nodeflux 10/3/16Intel Confidential 27
  28. 28. Nodeflux 10/3/16Intel Confidential 28
  29. 29. 10/3/16Intel Confidential 29
  30. 30. Go Server • 18pt Intel Clear large bulleted text for slide with sparse content • Sub-bullet • Bullet two • Bullet three Dashboard 10/3/16Intel Confidential 30
  31. 31. 10/3/16Intel Confidential 31
  32. 32. 10/3/16Intel Confidential 32
  33. 33. 10/3/16Intel Confidential 33 Sofian Hadiwijaya @sofianhw