Episode 21 - Weekly IoT News Update
This week we look at Adents and Microsoft’s collaboration to leverage AI and Blockchain technologies, the deployment of IoT-controlled electric bicycles in South Korea, and how AI technology can help people to find their perfect skin product.
TechXLR8 2018: Interview with Jeff Travers - Head of IoT, Ericsson
A few weeks ago, members of the xelba team attended TechXLR8, here’s one of the highlights: Jeff Travers, Head of IoT at Ericsson, shares his interest for IoT, 5G, AI, and automation technologies at the show.
Adents, in collaboration with Microsoft, has built a new unit-level product track and trace platform that leverages AI and Blockchain technologies. The Adents NovaTrack platform makes use of AI, IoT, serialisation, and Blockchain functionalities, which result in delivering end-to-end traceability and visibility across the entire supply chain.
South Korea’s leading telecommunications company KT unveiled the Air i, an electric bicycle manufactured by local company Recon Hi-Tech Bike Co., and is supported by KT’s smart mobility platform. The platform connects an IoT module embedded into the bicycle with the LTE-M network to check real-time location information and control the bike’s partial functions – such as remotely suspending the bicycles’ motor operation.
UK studio Seymourpowell has designed a concept for a cosmetics service that would curate the perfect product combinations for customers based on AI and user data. First, it finds suitable products for each user based on skin type, environment, and personal style. Then, it augments that base profile by incorporating data on the user’s recent lifestyle and their schedule for the week ahead.
Wimbledon and its digital partner IBM use AI system to help automatically edit the best replay during The Championships. As videos from individual matches can add up to hundreds of hours of footage over the course of the tournament, the AI-analysis uses a combination of factors such as the level of fan interest, match data, player emotion, and audience applause during a game to identify the clips that will then be uploaded to the All England Lawn Tennis Club official website, apps, and social media channels.
WISeKey, a leading information security and identity management company, has introduced its first All-Blockchain IoT platform between China and the US. The platform offers a secure way to connect US based enterprises with their Chinese counterparts via a trusted ID based Blockchain, and facilitates the rapid adaptation of on-board Blockchain based solutions and services.
IoT service and solutions provider Thinxtra announced Hong Kong’s first IoT network has reached full deployment, covering more than 90% of the territory. Thinxtra’s Sigfox IoT network enables government, Hong Kong citizens, and businesses to connect through powerful IoT gateways installed across the territory, which will enable the adoption of IoT solutions in various industries such as construction, logistics, health, smart facility management, industrial machinery, smart city, and household.
South Korean LG Uplus will deploy its home IoT platform to Wooshin Construction’s apartments. Those who will live in these apartments, will be able to download LG Uplus’ IoT@home app and use it to control heating, lights, gas, energy usage and parking space availability. Users will be able to configure the settings and activate items simultaneously, as well as scheduled settings.
Tripwire security researchers found that the Google Home and Google Chromecast could leak a user’s physical location. Locations could be extracted as some commands the devices receive are transmitted across unsecured HTTP connections, and without any form of authentication. This data leak indicates how the IoT necessitates the hardening of previously trusted environments to protect against an influx of potentially vulnerable IoT devices.
The IoT and data analytics startup Umitron helps fish farms optimise their feeding practices through data and AI, resulting in lower costs, and prevention of waste and damage to the environment. The company uses a combination of underwater sensors and data analytics to monitor fish activity in fish farms. Running the data through a proprietary algorithm, the startup claims to detect when fish are actually hungry.