Building Intelligent, Connected Products
summary
Shows how to construct intelligent connected products with a generic Enterprise IoT stack, naming AI, Machine Learning, Cognitive IoT and Blockchain as enabling technologies and describing how to add intelligence at each IoT layer. Presents three architecture patterns — intelligence at the edge, in the cloud, and a hybrid — with use cases like edge computer-vision for security, cognitive IoT in sports, connected cars, and blockchain for trust/compliance. Briefly compares Enterprise IoT platforms including IBM Watson IoT, GE Predix, Amazon IoT, Microsoft Azure IoT and open-source options.
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chapters (5)
- 0:00Start
- 8:34DEEP LEARNING ON EDGE DEVICES
- 12:55GENERATIVE ADVERSIAL NETWORKS
- 24:14CONNECTED CAR SOLUTION
- 26:04BUILDING MACHINE LEARNING MODELS
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