What True Innovation In Networking Looks Like

Modern ways of working call for innovation at the networking layer. Where once people worked from offices, on centrally controlled devices, now our capacity to work is truly flexible and anywhere, and thanks to IoT and edge computing there is an explosion of devices on the network.

This presents unprecedented challenges to the networking environment regarding everything from the user experience through to security. As noted in a previous article (link), Allied Telesis is at the forefront of innovation in networking, as it leverages AI to assist in delivering a superior but seamless experience for users.

It’s worth delving more deeply into how the technology works, because the stats behind it are significant. Allied Telesis’ Network AI delivers:

  • 99% accuracy in device detection and classification.
  • A reduction of up to 90% in the mean time to resolution compared to manual troubleshooting.
  • Operational cost savings of 60%.

However, most of all, what helps Allied Telesis’ approach to networking stand out, according to the company, is the user-centric focus that it has.

“All our competitors are thinking about selling more new technologies and acquiring companies in order to catch the next wave of technology evolution, such as SDN, SDWAN, cloud computing, data centre technologies, cybersecurity etc. They leave the difficult and complex integration works to systems integrators which then require highly skilled certified engineers and thus make the solutions very costly,” Satoh Seiichiro – Allied Telesis Global Product Marketing Senior Vice President said.

“The ATI technology philosophy is simple. We solve technology problems at the edge networks. These problems include corporate wireless instability issues, failure of network controllers should not affect entire network operations and integration of cybersecurity with the best-of-breed vendors in the market. This model positions us very well when CIOs would like to keep their core networks/cybersecurity with existing incumbents and leverage on ATI’s technologies to solve their underlying practical problems.”

The five key aspects of Network AI

Broken down, Allied Telesis’ Network AI has five key aspects that deliver its core philosophy:

  1. Network planning: The AI will analyse historical traffic patterns, predict future demands, and optimise the placement of network resources such as routers, switches, and access points.
  2. Configuration management: AI will automate network configuration tasks, such as provisioning, device configuration, and policy management. This will reduce manual errors and ensure consistent and optimised network configurations.
  3. Performance monitoring: The AI will collect and analyse data from network devices and traffic flows to provide real-time insights into network performance to help proactively detect and diagnose network faults, anomalies, and performance issues. Its ability to identify bottlenecks ensures that the IT team can deliver high levels of Quality of Service (QoS) for critical applications.
  4. Traffic engineering: Here the AI optimises traffic routing and network resource allocation based on real-time traffic conditions. This will improve network efficiency, reduce congestion, and enhance the user experience.
  5. Security: Allied Telesis’ Network AI plays a crucial role in network security by identifying and mitigating threats in real time. It can detect network intrusions, abnormal behaviours, and malware attacks, and enable rapid response and threat containment.

For some examples of technologies that have these AI smarts enabled and the benefits that they deliver, Allied Telesis offers several solutions with patents (or patent-pending) qualities that help to further differentiate them. These include:

–        AWC – Allied Telesis’ wireless LAN Network AI engine that allows for always-on client wireless connections, regardless of industry or physical location, Shimizu Akiharu, SE Director of Allied Telesis Asia Pacific, said. “We provide single-channel, multi-channel architectures as well as the world’s first hybrid radio operation access points to address these requirements. Since this is automated by AI, there is no human resources involved in managing this. Key applications are device location-detection with vector-based technology, health monitoring of WLAN APs with integrated fault detection and diagnosis.” 

–        AMF Plus – Allied Telesis’ wired LAN Network AI engine enables device detection without any software agents to be installed on devices, overall health conditions of wired devices are shown on the dashboard, administrative tasks are automated and users can save on costs while enforcing network security more effectively thanks to AI-based management. Other key features include auto-backup, recovery, provisioning and upgrade. 

–        Vista Manager – Vista Manager comes in different deployment models, including appliance-based, software, and VM-based. This allows organisations maximum flexibility in their networking environment. GUI-based configuration and diagnostic tools are integrated into a single dashboard to provide a true single-pane-of-glass global network management system. 

Innovation in networking stands as a cornerstone of our increasingly interconnected world, fostering unprecedented possibilities across industries and society. As technology rapidly advances, the traditional boundaries of communication and collaboration are redefined, pushing the frontiers of efficiency, scalability, and accessibility.

With the advent of 5G set to further disrupt traditional ways of working, IoT devices orchestrating smart ecosystems, and the rise of edge computing optimising data processing, the only way to effectively manage networking will be through AI at the technology layer. Allied Telesis is determined to be a leader in providing this advanced and highly effective technology. In addition, it ensures that the technology doesn’t add an undue burden of complexity in deployment or management.

For more information on Allied Telesis’ Network AI solutions, click here.

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