Artificial Intelligence For IoT & Smart Cities
Artificial Intelligencefor IoT & Smart CitiesDr. Abdulhadi AbouAlmal, Ph.D.Director / Technology Standardization & Spectrum Management, Etisalat GroupRapporteur of Q6/20 on IoT & Smart City
AI Birthday 1955-1956: Dartmouth Conference marks the birth of AI
What is AI AI is Machine-based intelligentDecision-Making AI system: set of tools to emulatehuman intelligence by: Leaning (Data Collection) Exercising and engaging (Data Analysis) Decisions & ActionsTrends &PatternsAICorrelation
AI for 4th Industrial mart NationTransformationE2E SecurityBigData& CloudComputing&VirtualizationAIRevolutionis all aboutData
AI Role for IoT and Smart Cities Combination of high speed, reliable, low latency connectivity will allowtransformation towards smart cities 5G will be major enabler for transformation towards smart citiesDecision ngSensingIoTBigData
Machines vs Human PerformanceMachines exceed human capabilities todistinguish similar-looking imagesthrough “Deep Learning”Muffin or Puppy ?Source: cial-intelligenceSource: ot; cial-intelligence
AI Enabled SystemFFT Open Source systemsDataAcquisitionData CollectionFFT Open APIsInformationAnalysis AI IndexFeatureExtractionPatternRecognition AI Standardizationarease.g. Fault ModelMatchingFFTExecutionDecision(e.g. FaultLocation)Prediction(e.g. FaultPrediction)
Example: Fault Location and PredictionOLTFaultPredictionControllerFault LocatingTerminalAP /Splitter Terminal
AI Use Cases in ICTAI combination with different industries / usecases unlocks new potentialMachineLearningBigDataAI SystemImage SecurityPlanning,Operations,Maintenance,Services
AI Challenges Lessons from ITU PP18 on AI Resolution AI policies and regulations Responsibility and Accountability AI Ethics10
ITU-T SG20 Q6 Work on IoT & SCCWork itemTitleY.API4IOTOpen Data Application Programming Interface (API) for IoT Data in Smart Cities andCommunitiesY.FW.IC.MDSCFramework of identification and connectivity of Moving Devices in Smart CityY.IoT-DA-CounterfeitInformation Management Digital Architecture to combat counterfeiting in IoTY.IoT-InteropAn architecture for IoT oT-Ath-SCIdentity of IoT devices based on secure procedures and ensures privacy and trust ofIoT systemsSecurity, interoperability and identification aspects for Low Power Wide Area (LPWA)systemsAlgorithm Agility for IT Systems and Supporting Infrastructure used in the Internet ofThingsFramework of IoT-devices authentication in Smart City11
Conclusions Machines may exceed human performance AI is essential pillar for smart city transformation that need to becomplemented by other enablers (5G, IoT, Big data) AI standardization areas need to be defined with international collaboration AI Challenges need to be addressed at early stage12
Thank You13
Open Data Application Programming Interface (API) for IoT Data in Smart Cities and Communities Y.FW.IC.MDSC Framework of identification and connectivity of Moving Devices in Smart City Y.IoT-DA-Counterfeit Information Management Digital Architecture to combat counterfeiting in IoT Y.IoT-Interop An architecture for IoT interoperability Y.IoT-IoD-PT
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SAP Cloud Platform Internet of Things Device Management Your Gateway System Environment Cloud Platform PaaSeg., HANA, Kafka, PostgreSQL App User Admin IoT Core Service IoT Message Management Service Your IoT Data IoT service IoT Gateway Edge Devices Device 1 Device 2 Device 3 IoT Gateway Cloud IoT Service Cockpit Send and receive
MINOR DEGREE IN INTERNET OF THINGS (IoT) (DRAFT SYLLABUS) Course Structure Sr. No. Semester Temp. Course Code Course Title L T P Credits 1. 3 IoT-1 Introduction to Internet of Things 3 0 2 4 2. 4 IoT-2 IoT Protocols 3 0 2 4 3. 5 IoT-3 IoT System Design 3 0 2 4 4. 6 IoT-4 Industry 4.0 and IIoT 3 0 2 4 5.
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