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The Rise of Engineering-DrivenAnalyticsRoy Lurie, Ph.D.Vice President Engineering,MATLAB Products 2015 The MathWorks, Inc.1
The Rise of Engineering-Driven Analytics2
The Rise of Engineering-Driven Analytics3
Limitedusers, scope& technologyBig DataMachineLearningComputePowerPervasiveusers, scope,& technologyAnalytics are now pervasiveDescriptive &Diagnostic PredictivePrescriptiveApply robust, statistically-motivated methods todata produced from complex systems toEngineering Desktop Neural Networksunderstand whathas happened,Multicore,GPUBusiness ClassificationTransactionalpredict ClustersCloudcomputingwhat willhappen,and Hadoop with Spark ClusteringRegression and much more suggest decisions or actions.4
Analytics in e-commerceUse Image ProcessingImagesEngineering DataSocial profileGeolocationKeystroke logsto add image data to the model,improving performanceIMPROVEDPredictiveModelOffer toCustomerBusiness DataTransactions5
Consider the Data in Data AnalyticsVideoAudioImagesEngineering DataSensorSocial profileGeolocationUsing nowKeystroke logsBusiness DataTransactionsLevel of Industry / User AdoptionSource: Gartner Big Data Industry Insights, March 20166
Consider the Data in Data AnalyticsVideoAudioPlannedImagesEngineering DataSensorSocial profileGeolocationUsing nowKeystroke logsBusiness DataTransactionsLevel of Industry / User AdoptionSource: Gartner Big Data Industry Insights, March 20167
The Rise of Engineering-Driven Analytics8
Architecture of an analytics systemData fromData from instrumentsbusinesssystemsand connected systemsAnalyticsand MachineLearning9
Architecture of an analytics systemData fromData from instrumentsbusinesssystemsand connected systemsMATLAB & Simulink Integrates inAnalyticsand MachineEmbedded Systems and EnterpriseLearningIT WorkflowsPredictive ModelPredictive Modeldeployed in smart andembedded systemsdeployed on cloud andbusiness systems10
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25% costreduction12
Example – BuildingIQAdaptive building energy management13
Optimizing Energy Costs and Consumption at Building IQDATA - Billions of data points:MATLABToolboxes Just WorkPhysics, energy cost, power,internal temperatures,ambient temperatures, ambient humidity, buildingand work togetheroperation schedule, comfort bounds, etc.–!Analytics andMachine Learningplus system identification,control theory & moreCurrent energycosts & demandWeatherFeedsPredictive Modeldeployed on cloud with client systemand real-time data feeds14
Why MATLAB? MATLAB Impeccable Numerics forTrusted ResultsRobust numerical algorithmsExtensive visualization and analytics toolsIndustry-robust and reliable mathematicaloptimization routinesGood object-oriented frameworkAbility to interface with Java (for backend work)Running MATLAB in the cloud in productionUnit-testing frameworkWe could rapidly translate ourprototypes into productionalgorithms that deal reliablywith real-world noise anduncertaintyBorislav Savkovic, BuildingIQ15
Example – ScaniaAutomatic emergency braking using sensor fusion and analytics16
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Using Model-Based Designto build and deploy the analyticsin an embedded control systemMATLAB Integrates Analytics andModel-Based Design18
Implementing Sensor Fusion at ScaniaMachine learningto develop fusion algorithmsfor situation detectionVehicle logsof video and radar dataPredictive Modeldeployed on vehicle19
AutomotiveOff-highway vehiclesAeronauticsThe Rise of Engineering-Driven AnalyticsRetailIndustrial AutomationFinanceOil & GasHealthcare managementMedical DevicesInternetClean Energy20
Predictive Maintenancefor polymer-based production machinesSensor Data ( 1 minute)10-100 sensors/machineQuality State ( 40 minutes)Classification using Statistics, MachineLearning, and Neural Networks21
Deployment – a MATLAB Appused by machine operatorsState NOT OKM153State OKM15722
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The need for data scientistsDomainexpertiseCoding andintegration skillsStatistical andmathematicalknowledge24
What they say Expand university programs Train existing analysts25
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TSMC Student Contestuse process control datato improve semiconductor yields 21 teams competedWafer Big Data in HadoopMATLAB used by winningteam and 2nd place team27
IoT open data platformfor students and makersBuilt-in MATLAB analysisSimulink support via Raspberry Pi28
MATLAB lets you be your own data scientistMATLAB is Designed andDocumented to be Easy forEngineers and Scientists to UseDomainexpertiseStatistical andmathematicalknowledgeCoding andintegration skills29
Limitedusers, scope,& technologyBig Data putePower DesktopMulticore, GPU Clusters Cloud computing Hadoop with Spark Pervasiveusers, scope,& technologyNeural NetworksClassificationClusteringRegression and much more In MATLABNative support forengineering data Database interfaces StreamingNEW for MATLABAudio System Toolbox R2016aVision HDL Toolbox R2015a30
Limitedusers, scope,& technologyIn MATLABBig Data EngineeringBusinessTransactional Native support forengineering dataDatabase interfacesStreamingDatastoretext, image, video,Excel filesTimetable, string, andtall arrays 2016b MachineLearningComputePower DesktopMulticore, GPU Clusters Cloud computing Hadoop with Spark Pervasiveusers, scope,& technologyNeural NetworksClassificationClusteringRegression31
Limitedusers, scope,& technologyIn MATLABBig Data EngineeringBusinessTransactional Native support forengineering dataDatabase interfacesStreamingDatastoretext, image, video,Excel filesTimetable, string, andtall arrays 2016b MachineLearningComputePower DesktopMulticore, GPU Clusters Cloud computing Hadoop with Spark Pervasiveusers, scope,& technologyNeuralNetworksis fast:MATLABClassification- heavily optimized librariesClustering- JIT compiledRegression- takes advantage of thecompute power you have Multicore & GPUMATLAB DistributedComputing Serverand EC2 Support Hadoop with Sparksupport R2016b MATLAB ProductionServer32
Limitedusers, scope,& technologyIn MATLABBig Data EngineeringBusinessTransactional Native support forengineering dataDatabase interfacesStreamingDatastoretext, image, video,Excel filesTimetable, string, andtall arrays 2016b MachineLearningComputePowerPervasiveusers, scope,& technology DesktopMulticore, GPU Clusters Cloud computing Hadoop with Spark Neural NetworksClassificationClusteringRegression Statistics and MachineLearning ToolboxClassification Learner App R2015aNeural Network ToolboxCNNs for Deep learning R2016aMachine learningwith code generationMulticore & GPUMATLAB DistributedComputing Serverand EC2 Support Hadoop with Sparksupport R2016b MATLAB ProductionServer 33
Classification Learner Appin Statistics and Machine Learning Toolbox34
Deep Learning with Neural Network Toolbox - New in R2016aTechnical Computing andData Analyticscamera webcam;img snapshot(camera);net alexnet;label classify(net,img)35
Example –First consumer otoscope in a mobile device usingmachine learning and computer vision36
The Rise of Engineering-Driven AnalyticsLimitedusers, scope,& technologyBig DataComputePowerMachineLearningPervasiveusers, scope,& technologyBe your own Data Scientist!37
4 Big Data Compute Power Machine Learning Limited users, scope & technology Pervasive users, scope, & technology Engineering Business Transactional Desktop - Multicore, GPU Clusters Cloud computing Hadoop with Spark Neural Networks Classification Clustering Regression and much more Analytics are now pervasive
