GSMA IoT at the Huawei Global MBB Forum 2018
Start: Monday 19 November 2018 08:00
End: Wednesday 21 November 2018 17:00
Venue: ExCel London
Location: Royal Victoria Dock, 1 Western Gateway, Royal Docks, London E16 1XL
The 2018 Global MBB Forum will be hosted by Huawei together with its industry partners GSMA and GTI in London from November 19th to November 21st. It will welcome global operators, regulatory agencies, vertical industry partners, news media, and analysts from around the world to help shape the future of the MBB industry.
Shane Rooney, Executive Director, IoT Networks of GSMA will take the stage and share his insights of how Mobile IoT, the low power wide area technology in licensed spectrum, enables millions more IoT devices in the next 5 to 10 years.
- Date: 20 November 2018
- Time: 17:25 – 17:55
- Topic: Cellular IoT Industry Insight
IoT Demonstrations
| Demonstration |
Description |
Technology |
| GSMA IoT Security – Sweepy Home Help | Sweepy Home Help is not just a connected hub for your smart home, it is also an autonomous vacuum – and should make life at home a whole lot easier and smarter. But Sweepy was launched to market too early and without the necessary security measures, making life at home rather alarming. Visit us to see Sweepy in action and discover its hidden vulnerabilities. | IoT Security |
| GSMA Mobile IoT Innovators | With over 1900 members from more than 1100 companies, and backed by over 90 of the leading global mobile operators and vendors, the GSMA Mobile IoT Innovators provide a vibrant ecosystem around LTE-M and NB-IoT, and stimulate insight and innovation to accelerate the development of new IoT solutions. |   |
| The Future of Intelligent Car Manufacture | 5G, IoT and AI will be key pillars of the future of intelligent car manufacturing. From design, through manufacturing and quality control. | 5G Artificial Intelligence Mobile IoT Machine Learning VR/AR |
| Collaborative Robots | Future robots are expected to seamlessly collaborate with each other and execute tasks assigned by humans. The machine-to-machine inter-communication is achieved by broadband connectivity. With low latency network and network slicing capability, the robots are able to take corrective action by analysing the environmental data and interacting with other IoT devices. | Artificial Intelligence Machine Learning |