Integrated security firm AETOS will be enhancing its security operations by leveraging a 5G network and Multi-Access Edge Compute (MEC) from Singapore Telecommunications (Singtel).
AETOS will power its surveillance robots, drones, video analytics with Singtel’s high throughput 5G network, MEC and network slicing to achieve low latency for real-time remote surveillance, enhanced situational awareness and decision-making.
According to Alfred Fox, chief executive officer of AETOS Holdings, this strategic partnership will help it “achieve smarter and more sustainable security outcomes for our clients [and] accelerate efforts to transform the security industry”.
AETOS is the first customer to commercially deploy Singtel’s MEC.
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Singtel has built the MEC on a hybrid infrastructure to ensure its compatibility with as many mission-critical applications as possible.
The MEC offers Singtel’s edge computing solution along with hyper scalar solutions from Amazon Web Services Outpost and Microsoft Azure.
As such, the telco can offer a wide range of plug-and-play services at the edge to help enterprises rapidly develop and deploy their novel solutions requiring low latency.
Additionally, the hybrid MEC is available now on both 4G and 5G networks. This enables immediate enterprise trials and commercial deployments in 4G, with migration to 5G when the network is available throughout the country.
To complete the offering, Singtel also offers on-premise private MEC for enterprises.
“Enterprises now have the freedom to deploy their business-critical use cases confidently and easily without having to worry about optimising latency during roll out. This means being able to use highly mobile devices like drones and autonomous vehicles for business operations, or offer an immersive, hyper-realistic gaming experience with rich graphics and no lag,” says Dennis Wong, vice president, 5G Enterprise and Cloud.
He adds: “Applications like these are important first steps, which we hope can have a multiplier effect and that these innovative solutions can be rolled out and applied across industries in the future.”
Photo: AETOS