The Five Networking Trends That Every IT Team Should Be Tackling

The pressures and challenges facing networking have undergone a dramatic shift in recent years. With decentralised IT environments becoming the norm, CIOs have had to grapple with questions around how to distribute applications to edge endpoints, across multiple datacentres, and cloud environments.

It’s a security concern, to be sure, but it’s also a user experience concern. Without the right technologies in place to facilitate this kind of fluid, flexible working environment, a company’s networking is likely to become a frustrating roadblock.

Where networking challenges IT operations today

According to Allied Telesis, there are five areas where CIOs are being particularly challenged in using their incumbent networking solutions to meet current demands:

  • A lack of dashboard and oversight to the overall network’s health, making it difficult to monitor the environment and make strategic decisions about it in the first place.
  • Separate diagnostic, troubleshooting and resolution tools. With little cohesion between them the potential for human error is increased significantly.
  • Unexpected failures in hardware (across CPU, memory, and as a consequence of temperature), which causes prolonged network downtime.
  • The requirement for certified and experienced staff for daily operational and maintenance tasks, which is often made challenging due to the severe skills shortage across Asia Pacific. 
  • Costly technology. Maintaining a networking environment that features a lot of legacy equipment can become a deep cost drain.

To address these challenges, Allied Telesis has brought several innovations to the networking space, particularly around automation, AI and AIOps.

Streamlined, elegant and powerful: What AI brings to networking

AI’s ability to analyse vast amounts of network data in real-time enables proactive identification of performance bottlenecks, security threats, and anomalies that might otherwise go unnoticed. By swiftly detecting and mitigating issues, AI-driven networking enhances reliability, minimise downtime, and ensures uninterrupted connectivity. Moreover, AI-powered predictive analytics facilitates capacity planning and resource allocation, enabling CIOs to optimise network resources and scale efficiently in response to changing demands.

Automation, hand-in-hand with AI, streamlines complex networking tasks. Repetitive and time-consuming activities such as configuration management, device provisioning, and network troubleshooting can be automated, reducing human errors and accelerating operational efficiency. Furthermore, for organisations that are struggling with the skills shortage, automation affords the opportunity to focus the human employees on addressing the more complex networking challenges, without being bogged down by mundane and repetitive tasks.

AIOps, meanwhile, utilises analytics and machine learning to monitor and analyse complex streaming data in real time. This helps teams to detect and react to potential issues across the network more quickly. When leveraged well and supported by technologies that enable AIOps to work efficiently, organisations can speed up their digital transformation efforts and drive business value. 

By allowing IT teams to focus on more strategic initiatives and innovation, the overall ROI for networking will be higher. In addition, in enabling a fully decentralised approach to IT, networking becomes a strategic area of IT enablement.

To deliver these capabilities to enterprises, Allied Telesis has developed its ATI Network AI-based Solution. This is an advanced technology infrastructure designed to optimise network performance and security. Leveraging artificial intelligence and machine learning, it continuously monitors and analyses network traffic, identifying patterns and anomalies to proactively detect and mitigate potential threats.

Allied Telesis developed this solution to enhance network efficiency by dynamically allocating resources, optimising bandwidth, and streamlining data flow. It offers real-time insights and automated actions, ensuring rapid response to emerging issues and enhancing overall network reliability, resilience, and user experience.

Key features of the ATI Network AI-based Solution include:

  • Simplified network management through innovation, and a single dashboard to give the CIO and other IT leads a straightforward overview across the environment.
  • Should there be a controller failure, the overall network operation will not be affected, thanks to redundancy build into the solution.
  • Preventative maintenance reduces overall network risks.
  • Integrated diagnostic, troubleshooting and resolution tools help to reduce network downtime by allowing for the IT team to respond quickly and efficiently.
  • Lower O&M costs thanks to the AI-predictive analytics build into the equipment.
  • GUI-based configuration tools that reduce human errors in deployment and management.

Together, these features allow the CIO and network management team to achieve complete visibility into the networking environment, across sites, clouds, and endpoints, and then leverage the capabilities of automation and AI to deliver a superior user experience, while also shoring up security and reducing the risk of outages, human error, and disruption.

For more information on Allied Telesis’ ATI Network AI-based Solution, click here.

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