Building Competitive Advantage With Automation
Since the introduction of the first public switched telephone network, networks have continually evolved. Through the various stages of development – from fixed endpoints in the early days of the internet to today’s broadband networks that connect mobile users to massive data centers and bandwidth behemoths such as Netflix, Amazon and Facebook – networks have adjusted to accommodate new demands. The once-static infrastructure is undergoing a more profound transformation than ever before.
The latest incarnation is autonomous networks, a trend that has been building for some time. An autonomous network runs without much human intervention; it can configure, monitor and maintain itself independently. As business and residential subscribers’ networks become more complex than ever, internet service providers (ISPs) can harness this evolution of networking by committing to providing networks that can grow with companies as their business needs and markets change.
In addressing the needs of tomorrow, ISPs must understand that today’s world is hyper-connected, reliant on complex infrastructures and multicloud environments, connected through a mesh of networks. But modern network demands create new challenges for ISPs. To advance, teams need to start moving away from manual efforts and start harnessing the power of artificial intelligence (AI) and machine learning (ML) to drive automation and self-healing networks.
To succeed with AI and ML, companies must have full network visibility. The networking community hungers for disruptive ideas to address the unsustainable economics of present-day networks. Today, operational complexity is increasing exponentially as traffic continues to explode and new devices proliferate. Meanwhile, rising operational costs and slower time to revenue squeeze margins for traditional service providers.