On the journey to Autonomous Networks: Save millions with AI and Analytics
CSPs are on a journey towards Autonomous Networks, aiming to deliver a seamless experience for customers – a vision of Zero Wait, Zero Touch, and Zero Trouble service delivery. A recent study by STL Partners highlights the compelling reasons for CSPs to accelerate this journey: they could save up to $800 million annually by embracing Autonomous Networks. Sounds like something you can’t miss, right?
However, significant hurdles remain. One of the key challenges is accessing the right data at the right time from diverse sources. Traditional data lake architectures, while centralizing data storage, often create bottlenecks, inconsistent data quality, and difficulties in providing real-time access across teams and domains. The data challenge, coupled with skill shortages, contributes to the average implementation time for telco AI use cases being 6-7 months.
Hand in hand with these data struggles, customer expectations are evolving rapidly. Video traffic is projected to constitute 80% of all mobile data traffic by 2027, demanding significant improvements in video experience measurement. The growing mobile gaming market, with nearly 2 billion gamers in 2024, presents another opportunity for CSPs to deliver exceptional experiences and tap into this expanding market.
To address these challenges and enable truly Experience-Driven Autonomous Networks, CSPs need robust MLOps frameworks, enhanced with cutting-edge data mesh architecture and AIOps.
Solving the telco data challenge and providing a self-service AI studio
Nokia AVA Data Suite tackles the telco data challenge by offering ready-to-use data products from multi-vendor networks and subscriber data. This simplifies data preparation, accelerates AI/GenAI development, and integrates seamlessly with MLOps and LLMOps, resulting in a 70% faster MLOps lifecycle.
AVA Data Suite utilizes the much-needed data mesh architecture for domain-agnostic and automated data standardization, ensuring CSPs have the right data at the right time. It also includes a telco-centric self-service AI studio with an MLOps/LLMOps framework and pre-packaged AI models, enabling CSPs to build their own AI and GenAI use cases. This cloud-agnostic solution integrates seamlessly with existing ecosystems and environments.
Solving the ever-changing customer experience challenge
Nokia AVA Experience Prescriptions tackles the most critical customer experience challenges CSPs face, and provide access to valuable real-time customer experience insights. By leveraging AI and the data products of the AVA Data Suite, AVA Experience Prescriptions provides recommendations that enhance user experiences across both fixed and mobile networks. The solution performs unsupervised anomaly detection and root cause analysis on collected data, delivering recommendations that optimize network performance and enhance customer experience for voice, video and gaming. Real-world examples demonstrate the impact: one operator achieved a remarkable 60% reduction in Netflix buffering and a 15% decrease in YouTube playback delays.
GenAI powered Autonomous Agents – supercharge all your employees with access to insights
Nokia AVA AI and Analytics solutions, enhanced with Generative AI (GenAI), are revolutionizing how CSPs access and utilize data. By integrating GenAI, we empower "Autonomous Agents" to provide data as a self-service, democratizing knowledge retrieval and accelerating decision-making.
This means that even without SQL skills, CSP employees can interact with databases using natural language queries. They can simply ask the GenAI assistant for insights, such as: "Provide me a dashboard of Quality of Experience in Region x” or “Is there an issue with subscriber X WiFI?”.
By doing this we have already seen measurable impacts with China Mobile including an 80 percent reduction in knowledge acquisition time, a 72 percent increase in data analysis efficiency, and annual savings of 6.5M Euro in network operations. Read more about this partnership from TM Forum’s case study here.
Conclusion
With our proven AI leadership, No. 1 position in AIOps, and over 30 years of experience in telco analytics, Nokia is uniquely positioned to help CSPs speed up their Autonomous Networks journey. Furthermore, our research and innovation with Bell Labs ensure we remain at the forefront of AI and GenAI advancements, enabling us to deliver powerful AI solutions for our CSP customers.
The race to autonomous networks is on. Are you equipped to compete? Contact us today to learn how AI and analytics can help you achieve autonomous networks.
Read more about our AVA AI and Analytics solutions and customer cases here.
