There is a noticeable movement across industries in the Asia Pacific (APAC) region to transform their business operations through digitalization. Rapid technological advancements are leading businesses to increasingly recognize the potential of AI to revolutionize various functions and significantly improve efficiency and productivity. This growing awareness has made the adoption of AI a cornerstone of any modern digital transformation strategy.
But while the potential of AI is enormous, its implementation, especially in the network, requires a strategic and thoughtful approach. Without this, companies risk becoming trapped in costly and ultimately failed experiments. To truly leverage AI and optimize their digital transformation efforts, companies need to leverage the most advanced network technologies available today.
AI-native networks go beyond traditional models by providing actionable insights, self-driving, and conversational interfaces. These networks predict and resolve issues before they impact business operations, ensuring seamless connectivity and optimal performance for operators and end users. Moreover, an AI-native network infrastructure means that AI is deeply embedded in the architecture from the beginning, designed with experience-first questions, and optimized for AI from the start.
Leveraging AI Operations (AIOps), AI-native networking offers significant benefits: These technologies can reduce operational costs by up to 85%, providing a strong incentive for enterprises to adopt these solutions to realize significant cost savings, increased efficiency, and improved performance.
The impact of AIOps across the end-to-end network
To truly harness the power of AI-native networks, businesses must adopt an experience-first approach. This involves asking key questions such as, “How do we ensure that all users, wherever they are, get a consistent experience?” These questions serve as a more effective implementation guide than traditional metrics like device performance or equipment speed, which, while important, are secondary to delivering a seamless experience.
AIOps systems can act quickly on this data and proactively fix issues before they impact user experience. This is where AI-native networking excels, providing automated insights to help IT teams quickly identify and fix issues to ensure network reliability and user satisfaction.
When applied end-to-end across wired, wireless, WAN and datacenter domains, AIOps maximizes the value of AI investments and enables businesses to accomplish more with less. This value spreads across the network, benefiting end users, operations and compliance teams alike.
Three key areas are key to enabling this experience-first approach: the right data, real-time networking, and reliable infrastructure.
First, by extracting rich network data from switches, access points, routers, and firewalls, network operators can gain detailed understanding of what their end users are experiencing. This detailed insight is essential to make informed decisions and implement effective solutions that truly meet the needs of their users.
Finally, the need for the right infrastructure cannot be overemphasized: As AI enables businesses to process unprecedented amounts of data, it is essential to have a scalable and secure infrastructure so your network can handle growing data loads and maintain reliable performance at scale to support the seamless experience users expect.
Increase your bottom line with AI-native networking
Proactive, AI-native network operations, when implemented properly, provide agility, automation, and assurance. They reduce complexity, increase productivity, and ensure reliable performance at scale. Innovations like digital experience twins that identify and resolve issues before users notice, as well as advanced data center applications, improve operational efficiency and drive cost savings.
Imagine an office where all virtual meetings run smoothly. Proactive AI in the network would address potential issues before they occur to ensure high-quality, uninterrupted communications and a consistently great user experience.
By capturing packets in the cloud, diagnosing the root cause, and remediating, problems can be automatically detected and resolved in real time. This reduces the need for costly on-site visits and improves network reliability and performance. In some cases, trouble tickets are reduced by up to 90% and on-site visits by 85%. This efficiency saves IT teams significant time, money, and effort, allowing them to focus on strategic initiatives instead of constant troubleshooting. The true value of these networks is in their performance in support of broader digital transformation goals.
AI-native networking is critical for APAC businesses looking to stay competitive. By adopting a strategic, experience-first approach, businesses can unlock the full potential of AI in networking and set new benchmarks in efficiency and user satisfaction. As businesses continue on their digital transformation journey, proactively investing in AI-native networking is key – it will help minimize costs, improve user experience, enable operational excellence, and drive meaningful, sustainable business growth.
