Challenge

To realise these opportunities, Sportable needs to be able to scale out its Match Tracker technology in a flexible and agile way to elite sporting leagues right across the UK and beyond – something not possible with either public internet or LAN.

Using Distributed Edge

• Faster and more secure connectivity than the public internet and significantly less expensive to roll out and run than LAN
• An agile, flexible and rapid deployment that avoids the transportation, long installation time, costs and potential tripping hazards of having to deploy servers and on-site LAN cable deployment at each rugby stadium
• Demonstrates far greater reliability and significantly lower latency than the public internet in order to provide real-time insights to coaches and fans
• Less reliance on portable pitch-side servers at each game, which are inconvenient to deploy and expensive to transport, maintain and insure, with any cost savings being passed onto the customer

Benefits

Sportable can now roll out its Match Tracker technology to stadiums across the UK more efficiently and without compromising on latency. With more teams getting access to affordable real-time insights, everyone – fans, coaches, officials, clubs and players – can be a winner.

Challenge

Aurrigo’s ambition is to have fully autonomous vehicles without the need for human supervisors on board. To handle the huge quantities of data, high bandwidth, low latency, and secure communications they need to run effectively, Aurrigo’s vehicles need to connect to the cloud seamlessly.

Using Distributed Edge

• By using Vodafone Business Distributed Edge Computing with AWS Wavelength, Aurrigo can achieve the latency and speeds needed to connect its driverless vehicles
• Using Vodafone’s 4G and 5G ensures that the autonomous vehicles always get a guaranteed level of connectivity and near-zero packet lost to deliver a reliable service
• The back-end services also rely on Distributed Edge Computing, meaning the whole operation is seamless and connected
• Cyber-resilience is achieved from not having data exposed to the public internet and keeping it closer to where it is produced, at the edge

Benefits

Already people across Cambridge are benefitting from Aurrigo using Distributed Edge Computing to run a fleet of autonomous shuttles seamlessly and safely across the city, which is a big step towards delivering safer, greener and more reliable public transport.

Challenge

Xpllore’s exceptional real-time user experiences requires data to move and be processed quickly. Performing this function at the edge via low latency connectivity is essential to avoid issues with hardware such as screen freezing, or the feeling of nausea brought on when using the headset with high latency.

Xpllore’s solution also needed to be future-proofed to manage higher bandwidth requirements of the latest VR applications and support the inevitable demand for ever-higher quality graphics.

Using Distributed Edge Computing with AWS Wavelength

• Xpllore can benefit from the high-speed of 5G and the high responsiveness and low latency
• Xpllore can keep up with and support advancements in the quality of VR graphics and help prevent issues with VR equipment
• Their offering can be easily deployed on the upcoming 5G VR headsets

Benefits

Xpllore is rapidly moving towards realising their vision of making visual learning significantly more accessible. Through immersive experiences, they allow learners to confidently try new ways of working, increases hands-on learning time and help students retain information better even when remote.

Challenge

Keyless’ authentication process involves capturing, encrypting, fragmenting and matching a user’s biometric templates quickly and securely using privacy-first technology. Keyless wants to cut the time it takes to perform this compute-heavy process down from seconds to milliseconds.

Using Distributed Edge

• Handles this compute heavy authentication process near instantly
• Means the encrypted fragments of biometric data don’t need to be sent to different cloud servers
• Reduces latency to end users and customers by taking full advantage of the public cloud

Benefits

Using Distributed Edge, Keyless can make real-time multi-factor authentication a reality for all end-users. This means the payments industry can embrace seamless biometric technology and end-users will benefit from instant and secure payment authentication.

Challenge

To support Industry 4.0 use cases like zero-defect manufacturing, InterDigital’s solution relies on absolute precision built on near-real time remote control of devices and instant analytics.

Using Distributed Edge

• InterDigital enabled a reliable and high-quality twinning between physical devices and the remote digital applications controlling these devices.
• The ultra-low latency of Edge and 5G allows applications like augmented robotic telepresence in factories to work in real-time and be highly responsive.
• The applications are connected to any number of terminal devices, such as cameras and robots, using 5G network guaranteeing high bandwidth connectivity

Benefits

Using Distributed Edge, InterDigital can better support applications like ‘zero-defect’ manufacturing. This has the potential to unlock huge benefits for the Industry 4.0, allowing businesses to pioneer new products.