Mobile Network Care

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What are AI-powered mobile network support services?

AI-powered mobile network support services leverage artificial intelligence and machine learning to automate troubleshooting, enable predictive maintenance and enhance knowledge management.

These services can proactively detect and resolve network issues, automate routine tasks, and provide personalized support.

The challenges in today's fast-paced digital landscape can slow down operations and impact performance, such as:

Information overload

Engineers spend 25% of their time searching for information

Unpredictable failures

Operators cannot always predict when hardware will fail, and by the time it does, it's too late​

Upgrade risks

Mobile network software upgrades can be complex and may introduce disruptions

AI-Powered Digital Care: Transforming Mobile Networks for the 5G Era

As today's mobile networks evolve, Digital Care Services bring increased complexity and new demands on performance, capacity and efficiency. Nokia's AI-based mobile network support services are designed to address these challenges, providing an intelligent solution that meets the pressing and intricate needs of today's network environments. Traditional models face challenges in identifying root causes, troubleshooting complex issues and keeping pace with the volume and complexity of support requests.

AI-powered mobile network support services can help address these challenges by:

Automate Troubleshooting: Al analyzes network data to swiftly identify potential issues, reducing problem-solving time and effort.

Enable Predictive Maintenance: ML algorithms forecast network failures, enabling proactive maintenance and minimizing downtime.

Enhance Knowledge Management: Al optimizes technical documentation, providing support teams with efficient access to the right information.

Scale Support Operations: Al-powered chatbots and virtual assistants handle high volumes of support requests, allowing human teams to focus on complex cases.

Proactive Al solutions for 5G mobile network challenges

Nokia’ AI-powered mobile network support services offers a comprehensive Al-powered portfolio that supports telecommunications providers In managing complex, high-performance networks. Al solutions redefine network support, empowering customers and engineers alike with tools that improve operational efficiency, prevent issues before they arise and optimize network performance all while significantly reducing downtime and costs.

digital-assistant
Increase the productivity of operational teams​

Nokia AI Digital Assistant

  • Telco industry’s first AI chatbot ​
  • Enhanced with Generative AI​
  • 40% faster access to technical information
Predict hardware issues to prevent service-impacting incidents​

Predictive Hardware Analytics

  • Predict network hardware issues with at least 85% accuracy up to 14 days before a potential failure
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Identify anomalies, review trends, verify configuration changes and monitor alarms

Automated Health Check

  • Prevent outages  with highly accurate element level health status views
  • Analyze issues by checking trends or data values on a specific date
Holistic end-to-end troubleshooting​ solution

Unified Troubleshooting Framework

  • Integrates data from alarms, logs, performance metrics and configurations​
  • 25% reduction in average case handling time​
intelligent alarm management
ran energy saving management
Minimize human errors and ensure consistency

Software Upgrade Center​

  • Leverages advanced automation tools to minimize human errors and ensure consistent, high-quality software upgrades
  • Leveraging AI-driven insights from an extensive data repository and global upgrade expertise, Nokia achieves high rates of first-time success in software deployment

Accelerate incident resolution with automation and AI/ML based analytics

Read the case study from Safaricom, South Africa to learn how AI solutions support our customers.​
 

  • 25% reduction in average incident resolution time​​
  • Complete process transformation​​
  • Automated incident correlation and analysis with AI/ML

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