Networks for AI, with AI
Build AI-powered networks that meet the demands
of AI applications
What is the role of networking in AI
Communications networks are critical drivers of artificial intelligence (AI) innovation and success. They unlock the potential of AI applications by enabling seamless data transmission between devices, cloud platforms, data centers and edge infrastructure.
As industries such as manufacturing, education, finance, healthcare, transport and government embrace AI-driven mission-critical services, they need robust connectivity to make sure these services can function efficiently.
This creates significant opportunities for service providers like you. By building an AI-optimized network infrastructure, you can develop new revenue-generating services, such as network slicing, that cater to specific industry needs.
But optimizing networks for AI comes with technical challenges. AI applications need low latency, high reliability and rapid responsiveness to ensure flawless service. Meeting these requirements will have an impact on your network design, architecture and operations.
The growing threat of cyberattacks and data breaches is also a big challenge for the AI era. You need enhanced security solutions to ensure safe AI deployment across industries that deal with sensitive data.
Why AI-powered networks perform better
While AI applications rely on robust networks to ensure a great user experience, AI can also play a transformative role in enhancing your network and operations.
Service providers are turning to AI to simplify network operations, optimize performance, improve security, reduce energy consumption, and predict and prevent downtime. Machine learning algorithms can analyze vast amounts of data to detect patterns and anomalies in real time, and identify and resolve potential issues and threats before they impact your services. This proactive approach reduces operating costs and improves overall network reliability.
Generative AI (GenAI) can help humans with decision-making and network programming. It empowers your teams by simplifying sophisticated tools and complex processes. This allows team members of all skill levels to manage and program networks more easily and respond faster to changing customer demands.
AI as the enabler of the autonomous network
AI is a key enabler of autonomous networks, as envisioned and defined by TM Forum, which can self-configure, self-optimize and self-heal with minimal human intervention. At the highest levels of autonomy, AI plays a crucial role by enabling the network to manage complex operations, adapt to changes and ensure continuous performance optimization all on its own.
By combining machine learning and GenAI with network automation, you can build more reliable, agile, scalable and secure networks that evolve in real time to meet the growing demands of AI-driven services.
Build your network for AI, powered by AI
Nokia is a global leader in end-to-end network technology. We have extensive expertise in delivering high-performance solutions across fixed and mobile access, IP, optical, data center, and service management and orchestration for the world’s most demanding operators and mission-critical applications.
We help our customers build networks that can sense, think and act, leveraging AI to enhance each domain. AI enables our networks to analyze vast amounts of data and supporting data-driven insights and decision-making processes. It complements automation to seamlessly implement these decisions in real time. Together, these capabilities create a network that is more responsive, resilient and ready to deliver exceptional user experiences.
Our proven solutions can help you:
- Build an end-to-end network foundation that delivers the transformative value of AI applications seamlessly to all users
- Secure your network across every layer to ensure a resilient, trusted environment for AI-driven applications and their users
- Operate your network with AI-powered insights, decision-making and automation that enable scalable, efficient operations across access, transport and core networks—elevating the customer experience at every touchpoint.
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