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Nokia AVA telco AI and analytics

Unlock the intelligence in your network with telco AI (artificial intelligence) and analytics to take your 5G business further

How AI and analytics is used in telecom?

Operating a telco network has always been complex. But with massive data growth and multiple layers of network technology, tomorrow’s IoT and 5G networks will be more complex than ever. With pressure on headcount, many telco operators are already reaching the limits of what their human engineers can achieve. That’s why AI and analytics, with help from automation, is vitally important for the future of network operations.

The Nokia AVA Telco AI Ecosystem provides artificial intelligence solutions that can be delivered through the cloud (private or public). The solutions enable telcos to automate network operations and service assurance, cut costs, increase agility and boost subscriber experience. Most operators are seeing flat or falling revenues. AI and analytics can potentially help reduce churn and incubate new sources of revenue. Our solutions are delivered as a service, so there’s zero upfront CAPEX.

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What are the challenges for implementing AI in telecoms?

The top five key challenges that CSP face, based on detailed interviews with 9 leading CSP Chief Data Officers/ Strategists and survey of 50 CSPs worldwide, conducted by STL Partners an independent research company.


How does network data quality influence AI deployments?

Data quality is a key issue, often consuming 60% of efforts and time in AI projects.


How can telcos ramp up their data science skills?

55% lack the right data science and machine learning productization skills as pure data scientists are difficult to find, recruit and retain.  


Why is scaling Proof of concepts difficult?

80% of AI POCs fail to reach live deployment - this can be poor strategy, lack of central coordination or other people, process, technology issues.


What is the main problem around data storage?

77% of CSPs struggle with data storage and data fit for exploitation.


How can telco operators (20/400) boost their network security?

23% of telco's are concerned about Security when it comes to AI.

What is Nokia AVA telco AI and analytics?

Nokia AVA stands for: AI&Analytics, Virtualization and Automation (hence “AVA”). It is a family of AI enabled products, services which are using proven Nokia Bell Labs AI algorithms.

Nokia AVA combines the strengths of Nokia software and services, providing telcos with a compelling set of use cases, proven to solve their network business challenges with real-time and predictive network insights and AI/ML-driven automation.

Insights generated with Nokia AVA can be used to improve customer satisfaction, optimize operations for greater sustainability, boost productivity and network performance, increase revenues, and realize cost savings.

Why do telco providers rely on Nokia AVA telco AI and Analytics?

Over 290 CSPs globally rely on Nokia AVA solutions to unlock the intelligence in their 5G networks. They report significant business benefits helping CSPs boost productivity, enhance customer satisfaction & reputation and grow new revenues.

Nokia AVA solutions are available as software, service or Software-as-a-Service (SaaS), enabling CSPs to quickly deploy new applications in an agile manner.

Nokia AVA

Nokia AVA telecom analytics and insights

AVA helps CSp to unlock the full value of 5G

Here's how Nokia AVA helps CSPs unlock the full value of 5G

How do you deploy artificial intelligence?

Nokia AVA AI solutions allow operators to deploy AI use cases quickly and securely, completing data set-up in four weeks. By integrating Nokia’s network security framework with public cloud provider’s digital architecture, deployment can be much faster while concerns around data sovereignty and security are eliminated and global regulations respected. AI deployments are delivered fast and CSPs can scale proof of concepts fast across multiple clusters.

After the initial data set-up, telcos can deploy additional AVA AI use cases within one week and ramp-up, ramp-down resources as needed within one day across multiple network clusters. The Nokia security framework on Azure ensures data is segregated and isolated to provide the same level of security as a private cloud.

vodafone case study

Vodafone is partnering with Nokia to build an anomaly detection application on GCP


Nokia 1st telco AI deployments on public cloud worldwide


Security framework for ‘any’ cloud deployments


Mature Telco AI library


Outcome based model – no gain, no fee


Scales fast according to number of use cases and size of network


Go live from 9 months to 4 weeks as no need to deploy hardware

What are the benefits of telco AI and analytics

Nokia AVA is proven to help CSPs boost productivity, enhance telecom customer satisfaction & reputation and grow new revenues.

Productivity in telecom: Nokia AVA telco AI and analytics equips CSPs to run their business in digital time – by augmenting human intelligence and automating processes.

POST Luxembourg, a Tier-1 European service provider, has used Nokia AVA home and access analytics to proactively identify and address 97% of network issues before they affect subscribers. Meanwhile, Hutchison 3 Indonesia was able to improve the spectral efficiency of their network by 17%. Also, Vodafone resolves network issues up to 30% faster, with Bell Labs machine learning algorithms detecting anomalies and helping automate root cause analysis.

Telecom customer experience & reputation

Nokia AVA delivers a complete view of each customer’s experience across network, service and business layers. In doing so, it allows CSPs to become fully customer-centric across service operations, engineering, customer care, marketing and management.

Nokia AVA customer experience analytics helped to improve our customer’s nationwide Net Promoter Score by 25% in four months. Also, Nokia AVA telco network energy efficiency is helping China Mobile to reduce energy consumption by up to 20%.

New telco revenues

Broad and deep insight across networks is essential to the efficient delivery of new services in the 5G world and beyond. Nokia AVA provides real-time insight into network performance and the subscriber experience enabling fast, informed action across business domains.

Over 90% of customer care agents at US Operator said customer engagement notably improved after Nokia AVA network analytics for mobile was used to provide deeper insight into individual subscribers’ wants and needs.


Leveraging AI to deliver a personalized experience in the new normal


Great customer experience starts with great employee experience

AI and analytics

4 ways CSPs can improve 5G services with AI and analytics

Why choose Nokia AVA telco AI and analytics

How Nokia AVA analytics, insights and AI/ML helps you unlock the intelligence in your 5G networks:

Enhancing telco reputation and customer experience:

  • 25% improvement in NPS
  • 97% of issues detected at early stage
  • 40% improvement in campaign success rate
  • 80% improvement in mean time to repair
  • 30% reduction in technical complaints
  • 59% less buffering with predictive video analytics

Improving productivity in telecom:

  • 30% faster network issue resolution
  • 95% correct/helpful diagnosis of network
  • 60% improved resolution of customer problems
  • 15–20% reduction in installation & repair time
  • 20–30% improvement in call avoidance
  • 90% first-time right recommendations

Growing new telco revenues:

  • 20% OPEX savings for energy
  • 20% reduced energy consumption
  • 85% accuracy with cell site degradation prediction
  • 100% detecting sleeping cells near real-time
  • 80% cost related savings to manual drive testing
  • 90% agents report increased customer engagement

Nokia AVA deployments

Case study: Vodafone leveraging ML analytics to detect network anomalies

Vodafone needed a solution to breakdown data silos, and detect complex network anomalies to enhance customer experience.


Download the case study

Case study: How China Mobile is using Nokia AI for energy-efficient 5G

China Mobile needed a solution that would cut energy consumption and control costs without compromising the customer experience.

Download the case study

Case study: POST Luxembourg utilizing AI to improve home experience

POST Lux needed a solution to improve the overall efficiency of its field technicians.  


Download the case study

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