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The Rise of Engineering-Driven Analytics by Loren Shure

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https://www.bigdataspain.org/2016/program/thu-rise-engineering-driven-analytics.html

https://www.youtube.com/watch?v=MturxsjY7O4&list=PL6O3g23-p8Tr5eqnIIPdBD_8eE5JBDBik&index=21&t=18s

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The Rise of Engineering-Driven Analytics by Loren Shure

  1. 1. 1 BIG DATA SPAIN 2016 © 2016 The MathWorks, Inc. Big Data Spain 2016 The Rise of Engineering-Driven Analytics Loren Shure Consulting Application Engineer Language of Technical Computing
  2. 2. 2 BIG DATA SPAIN 2016 The Rise of Engineering-Driven Analytics
  3. 3. 3 BIG DATA SPAIN 2016 The Rise of Engineering-Driven Analytics
  4. 4. 5 BIG DATA SPAIN 2016 Descriptive & Diagnostic Predictive Prescriptive Apply robust, statistically-motivated methods to data produced from complex systems to understand what has happened and why, predict what will happen, and suggest decisions or actions. Past Future Analysis AnalyticsData
  5. 5. 6 BIG DATA SPAIN 2016 Decision Support Decision Automation Limited users, scope & technology Pervasive users, scope, & technology Analytics are now pervasive Apply robust, statistically-motivated methods to data produced from complex systems to understand what has happened and why, predict what will happen, and suggest decisions or actions. Decision Support Descriptive & Diagnostic Predictive Prescriptive
  6. 6. 7 BIG DATA SPAIN 2016 Big Data Compute Power Machine Learning We have data • Engineering • Business • Transactional We have compute • Desktop Multicore, GPU • Clusters • Cloud computing • Hadoop with Spark We know how • Neural Networks • Classification • Clustering • Regression • …and much more… Analytics are pervasive – Why Now?
  7. 7. 8 BIG DATA SPAIN 2016 Business Data Social profile Geolocation Keystroke logs Transactions Engineering Data Images Predictive Model Offer to Customer IMPROVED Use Image Processing to add image data to the model, improving performance Analytics in e-commerce
  8. 8. 9 BIG DATA SPAIN 2016 Transactions Keystroke logs Geolocation Social profile Sensor Images Audio Video Using now Source: Gartner Big Data Industry Insights, March 2016 Engineering Data Business Data Level of Industry / User Adoption Consider the Data in Data Analytics
  9. 9. 10 BIG DATA SPAIN 2016 Transactions Keystroke logs Geolocation Social profile Sensor Images Audio Video Using now Planned Source: Gartner Big Data Industry Insights, March 2016 Engineering Data Business Data Level of Industry / User Adoption Consider the Data in Data Analytics
  10. 10. 11 BIG DATA SPAIN 2016 The Rise of Engineering-Driven Analytics
  11. 11. 12 BIG DATA SPAIN 2016 Architecture of an analytics system Data from business systems Data from instruments and connected systems Analytics and Machine Learning
  12. 12. 13 BIG DATA SPAIN 2016 Architecture of an analytics system Data from business systems Data from instruments and connected systems Analytics and Machine Learning Predictive Model deployed in smart and embedded systems Predictive Model deployed on cloud and business systems MATLAB & Simulink Integrates in Embedded Systems and Enterprise IT Workflows
  13. 13. 14 BIG DATA SPAIN 2016 Example – BuildingIQ Adaptive building energy management
  14. 14. 15 BIG DATA SPAIN 2016
  15. 15. 16 BIG DATA SPAIN 2016 25% cost reduction
  16. 16. 17 BIG DATA SPAIN 2016 Real-time, closed-loop optimization algorithms Predictive Model deployed on cloud with client system and real-time data feeds DATA - Billions of data points: Physics, energy cost, power, internal temperatures, ambient temperatures, ambient humidity, building operation schedule, comfort bounds, etc. Weather Feeds Current energy costs & demand Analytics and Machine Learning plus system identification, control theory & more MATLAB Toolboxes Just Work – and work together!
  17. 17. 18 BIG DATA SPAIN 2016 We could rapidly translate our prototypes into production algorithms that deal reliably with real-world noise and uncertainty Borislav Savkovic, BuildingIQ Why MATLAB?  Robust numerical algorithms  Extensive visualization and analytics tools  Industry-robust and reliable mathematical optimization routines  Good object-oriented framework  Ability to interface with Java (for backend work)  Running MATLAB in the cloud in production  Unit-testing framework MATLAB Impeccable Numerics for Trusted Results Why MATLAB?  Robust numerical algorithms  Industry-robust and reliable mathematical optimization routines
  18. 18. 19 BIG DATA SPAIN 2016 Example – Scania Automatic emergency braking using sensor fusion and analytics
  19. 19. 20 BIG DATA SPAIN 2016
  20. 20. 21 BIG DATA SPAIN 2016 Using Model-Based Design to build and deploy the analytics in an embedded control system MATLAB Integrates Analytics and Model-Based Design
  21. 21. 22 BIG DATA SPAIN 2016 Implementing Sensor Fusion at Scania Predictive Model deployed on vehicle Vehicle logs of video and radar data Machine learning to develop fusion algorithms for situation detection
  22. 22. 24 BIG DATA SPAIN 2016 The Rise of Engineering-Driven Analytics Medical Devices AeronauticsOff-highway vehiclesAutomotive Oil & GasIndustrial Automation Clean Energy Retail Finance Healthcare management Internet
  23. 23. 25 BIG DATA SPAIN 2016 Sensor Data (~1 minute) 10-100 sensors/machine Quality State (~40 minutes) Classification using Statistics, Machine Learning, and Neural Networks Predictive Maintenance for polymer-based production machines
  24. 24. 26 BIG DATA SPAIN 2016 Deployment – a MATLAB App used by machine operators M153 M157 State OK State NOT OK
  25. 25. 27 BIG DATA SPAIN 2016
  26. 26. 28 BIG DATA SPAIN 2016 The need for data scientists Domain expertise Coding and integration skills Statistical and mathematical knowledge
  27. 27. 29 BIG DATA SPAIN 2016 What they say • Expand university programs • Train existing analysts
  28. 28. 30 BIG DATA SPAIN 2016
  29. 29. 31 BIG DATA SPAIN 2016
  30. 30. 32 BIG DATA SPAIN 2016 IoT open data platform for students and makers Built-in MATLAB analysis Simulink support via Raspberry Pi
  31. 31. 33 BIG DATA SPAIN 2016 IoT open data platform for students and makers
  32. 32. 34 BIG DATA SPAIN 2016 Student Contest use process control data to improve semiconductor yields  21 teams competed  Wafer Big Data in Hadoop  MATLAB used by winning team and 2nd place team
  33. 33. 35 BIG DATA SPAIN 2016 MATLAB lets you be your own data scientist MATLAB & Simulink are Designed and Documented to be Easy for Engineers and Scientists to Use
  34. 34. 36 BIG DATA SPAIN 2016 Big Data Compute Power Machine Learning Limited users, scope, & technology Pervasive users, scope, & technology • Engineering • Business • Transactional • Neural Networks • Classification • Clustering • Regression • …and much more… In MATLAB NEW for MATLAB Audio System Toolbox R2016a Vision HDL Toolbox R2015a • Native support for engineering data • Database interfaces • Streaming • Desktop - Multicore, GPU • Clusters • Cloud computing • Hadoop with Spark
  35. 35. 37 BIG DATA SPAIN 2016 Big Data Compute Power Machine Learning Limited users, scope, & technology • Native support for engineering data • Database interfaces • Streaming • Datastore text, image, video, Excel files • Timetable, string, and tall arrays 2016b Pervasive users, scope, & technology • Engineering • Business • Transactional • Desktop - Multicore, GPU • Clusters • Cloud computing • Hadoop with Spark • Neural Networks • Classification • Clustering • Regression In MATLAB
  36. 36. 38 BIG DATA SPAIN 2016 • Native support for engineering data • Database interfaces • Streaming • Datastore text, image, video, Excel files • Timetable, string, and tall arrays 2016b Big Data Compute Power Machine Learning Limited users, scope, & technology Pervasive users, scope, & technology • Engineering • Business • Transactional • Neural Networks • Classification • Clustering • Regression In MATLAB • Multicore & GPU • MATLAB Distributed Computing Server and EC2 Support • Hadoop with Spark support R2016b • MATLAB Production Server MATLAB is fast: - heavily optimized libraries - JIT compiled - takes advantage of the compute power you have • Desktop - Multicore, GPU • Clusters • Cloud computing • Hadoop with Spark
  37. 37. 39 BIG DATA SPAIN 2016 Big Data Compute Power Machine Learning Limited users, scope, & technology Pervasive users, scope, & technology • Engineering • Business • Transactional • Neural Networks • Classification • Clustering • Regression In MATLAB • Statistics and Machine Learning Toolbox • Classification Learner App R2015a • Neural Network Toolbox • CNNs for Deep learning R2016a • Machine learning with code generation • Multicore & GPU • MATLAB Distributed Computing Server and EC2 Support • Hadoop with Spark support R2016b • MATLAB Production Server • Native support for engineering data • Database interfaces • Streaming • Datastore text, image, video, Excel files • Timetable, string, and tall arrays 2016b • Desktop - Multicore, GPU • Clusters • Cloud computing • Hadoop with Spark
  38. 38. 40 BIG DATA SPAIN 2016 Classification Learner App in Statistics and Machine Learning Toolbox
  39. 39. 41 BIG DATA SPAIN 2016 MATLAB Apps for Data Analytics Distribution Fitting System Identification Signal Analysis Wavelet Design and Analysis Neural Net Fitting Neural Net Pattern Recognition Training Image Labeler and many more… With MATLAB Apps, you can complete data science tasks more quickly and easily than custom programming
  40. 40. 42 BIG DATA SPAIN 2016 Using MATLAB R2016a App Designer
  41. 41. 43 BIG DATA SPAIN 2016 Using MATLAB R2016a App Designer
  42. 42. 44 BIG DATA SPAIN 2016 Deep Learning with Neural Network Toolbox - New in R2016a
  43. 43. 45 BIG DATA SPAIN 2016 Deep Learning with Neural Network Toolbox - New in R2016a
  44. 44. 46 BIG DATA SPAIN 2016 Example – First consumer otoscope in a mobile device using machine learning and computer vision
  45. 45. 47 BIG DATA SPAIN 2016 The Rise of Engineering-Driven Analytics Be your own Data Scientist! Big Data Compute Power Machine Learning Limited users, scope, & technology Pervasive users, scope, & technology

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