The Future of Internet of Things is Artificial Intelligence

Transcript

1. The future of Internet of Things is Artificial Intelligence Ahmed Sobhy | @Sobhydo | www.Sobhy.me
2. © limestonedigital.co
4. Source : Cisco / https://www.ncta.com/broadband-by-the-numbers
5. Buildings Transportation Healthcare Retail Manufacturing & Industrial Cities Home
8. IoT Core
9. IoT Core handles device management and bi-directional device communication as part of an over all GCP IoT Solution
10. Simple UI for monitoring and management Cloud Platform
11. What Services are in IoT-Core ? Device Manager • Maintains registries of devices as named logical resources • Protects these entries with IAM permissions ◦ eg who can delete a device • Associates device credentials with these resources • Acts as the identity provider (IdP) for the MQTT broker • Provides storage and delivery API for device configurations • Maintains some operational state metadata for the device: ◦ enabled/disabled ◦ connectivity and error status MQTT Broker • Provides a stateful socket connection to devices for bidirectional communication • Brokers device->cloud telemetry data onto Cloud PubSub for use in downstream GCP products or customer applications • Delivers configuration updates via a Device Manager API • Is exposed through a global DNS endpoint over multiple ports
12. What is MQTT MQTT is a machine-to-machine (M2M)/"Internet of Things" connectivity protocol. It was designed as an extremely lightweight publish/subscribe messaging transport. • Originally developed at IBM in 1999 and designed for constrained devices • Is now a ratified standard • Is a binary protocol making efficient use of over-the-wire bandwidth • Is simple to implement and so has many small memory footprint libraries available • Has become a common and de-facto standard used in many IoT projects
13. Ingest Pipelines Storage Analytics Application & Presentation Standard Devices HTTPS Constrained Devices Non-TCP e.g. BLE Gateway Architecture: General > Real Time Stream Processing - Internet of Things App Engine Container Engine Cloud Storage Cloud Pub/Sub Cloud Dataflow Monitoring Logging Cloud Dataflow Cloud Datastore Cloud Bigtable BigQuery Cloud Dataproc Cloud Datalab Compute Engine Cloud IoT Core
14. Retail warehouses
17. Transportation
19. Derive Systems helps customers maximize vehicle performance by collecting real-time data and using that data to enable customers to optimize the driving experience, including fuel economy and driver safety.
20. Google Cloud Results • Consistently delivers 8% to 12% fuel savings and reductions in emissions for customer vehicles, as well as productivity increases powered by BigQuery analytics • Helps ensure smooth deployment for thousands of customer vehicle fleets via scalability • Improves Derive platform reliability and performance through high uptime • IOT Core delivers excellent reliability for a large number of 24/7, real-time connected devices
22. Manufacturing & Industrial
24. Google Cloud Results • Streams data in real time from 2,000 on-board sensors for immediate analysis, anywhere in the world • Collects 2,000% more data per train, per day than using a previous system • Uses machine learning for potential savings of over 200 hours a year per train in maintenance inspection time
25. Train manufacturer Talgo revolutionizes train maintenance with Google Cloud Platform, by streaming sensor data in real time and applying machine learning to stop problems, without stopping service.
26. Thank you! @Sobhydo www.XIOT.io