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Iot and ai


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IoT and AI reference architecture. Also covers how it can be done in AWS.

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Iot and ai

  1. 1. IoT and AI Lalit Bhatt Nuro Technologies
  2. 2.
  3. 3. IoT – Nature of Data processing • Sensors everywhere • Ability to process data in real time • Storing the data for long term analytics
  4. 4. Characteristic of Data • Nature of Data: • Volume • Variety • Velocity • Veracity • Technical challenges are manifold • Need to process it and make sense of it. • React quickly • In Technical jargon • Latency • Throughput • Fault tolerance
  5. 5. IoT – Standard Architecture Things Edge Cloud Configuration Application and Storage Controller Sense Act May or may not be present. Acts as a Gateway. May provide local controls also User Management Device Management APIEndpoints Analytics Machine Learning Remember Security Storage Apps
  6. 6. IoT – Major Vendors • Microsoft Azure IoT • IBM Watson IoT • Amazon AWS IoT • GE Predix • PTC ThingWorx
  7. 7. AWS IoT Thing Lambda S3 RDS Amazon DynamoDB Amazon SQS Amazon SNS Message Broker Rules Engine There are more services that can be hooked like AWS ElasticSearch Scalability for most use cases is not an issue. Cost implications.
  8. 8. AI
  9. 9. AI dilemma Learning vs Self Learning Can machine self learn or is it still learning extrapolated? What will happen when machine will really start self learning
  10. 10. Roger Penrose: Shadows of Mind • Penrose hypothesizes that: • Human consciousness is non-algorithmic, and thus is not capable of being modelled by a conventional Turing machine type of digital computer. Source :
  11. 11. AI – Artificial intelligence • There are known knowns; there are things we know that we know. There are known unknowns; that is to say, there are things that we now know we don't know. But there are also unknown unknowns -- there are things we do not know we don't know. • Donald Rumsfield
  12. 12. IoT with AI DATA
  13. 13. Promise of IoT with AI • Smartness in everything in world. • At what level it’s possible
  14. 14. Promise of IoT with AI • Insights: • Descriptive • Predictive • Prescriptive • Processing • Real time • Batch processing • Pattern detection • Anomaly detection
  15. 15. IoT with AI – Reference Architecture Source:
  16. 16. AWS IoT – AI AWS Greengrass AWS IoT Analytics AWS Kinesis Stream AWS Lambda SQS PROCESSING INFRASTRUCTURE AWS ElasticSearch AWS DynamoDB AWS RDS S3 Glacier STORAGE INFRASTRUCTURE AWS ML AWS Rekognition AWS Polly AWS Lex AI Platforms and Services
  17. 17. Questions