«

Telecoms Transform: AI Powered Dynamic Services for On Demand Customer Experiences

Read: 1722


As telecom leaders look ahead with ambition, customers' expectations have shifted dramatically in recent years. Seeking instant gratification and flexibility, they desire on-demand access to content alongside services that can be easily adapted to suit their needs. This change is reminiscent of the entertnment industry's transformative approach towards service delivery to cater to the modern consumer's on-demand appetite. The telecom sector must follow this tr by moving away from rigid bundles and fixed pricing.

This presents a unique opportunity for communications service providers CSPs to redefine themselves beyond traditional all-you-can-eat plans, instead embracing dynamic services driven by customer experience. To unlock this potential, CSPs need to harness the power of generativeGen, and leverage these technologies as a cornerstone for becoming digital experience providers.

The integration ofwith 5G connectivity will be pivotal in delivering personalized services across telecoms.enabled systems will facilitate real-time adjustments to network resources, enabling CSPs to create dynamic businessthat involve third-party partners. As such, experience-driven service providers can offer on-demand webcasts for businesses requiring peak viewership, seamless gaming experiences for students seeking instant access, or custom mapping applications prioritizing network connectivity. Gen, with its capability to automate the development and mntenance of these diverse services, will propel this transformation even further.

However, CSPs are not yet fully equipped to make this transition smoothly. The challenge lies in data – the lifeblood of services. Fragmented and siloed traditional data infrastructure is hindering the creation of reliable insights, resulting in slow response times that fl to meet customer demands or optimize network performance. Furthermore, legacy reporting tools often provide limited information, necessitating a reliance on manual analysis for critical troubleshooting.

The repercussions are stark if CSPs cannot adapt: declining revenues, squeezed margins, and disgruntled customers already pose significant challenges within the industry. The limitations of outdated data infrastructure restrict CSPs' ability to leveragein transformative solutions that drive revenue growth and enhance user engagement.

To move forward, CSPs must adopt a data-centric approach. Implementing unified informationand adopting a data mesh architecture can revolutionize data management practices at CSPs.and ML technologies can then analyze this data for real-time insights on network anomalies, generate prescriptive solutions, and automate tasks such as report generation, freeing up valuable resources for network engineers to focus on more complex issues.

Nokia's comprehensive approach underscores the critical role of leveraging networking expertise alongside cutting-edgetools. By empowering customers with operations and business, Nokia accelerates their journey towards a future where data intelligence is at the core of service delivery. This results in tangible outcomes such as increased revenue, improved customer experiences, and reduced operational expenses.

Nokia's solutions offer real-world examples ofpowered success stories. Their prescriptive analytics applications boast over 90 accuracy in detecting most network issues ahead of time and can identify potential performance degradation events several days before they occur. Moreover, by analyzing network data, operators have been able to predict over 80 of potential churners in fixed wireless access FWA services, enabling proactive customer engagement and retention.

The future landscape is set for a closer integration between telecoms and enterprise sectors as we move forward into this era. We can anticipate the emergence of bundled services that combine network access with specialized offerings tlored to specific customer needs. Edge computing will also play a crucial role by bringing consumer applications closer to the network's periphery, delivering on-demand experiences based on real-time user requirements rather than predetermined subscription.

By embracingand Gen technologies, CSPs can evolve into digital experience providers capable of delivering personalized connectivity in an evolving landscape where customer needs are met instantly, services adapt seamlessly, and the network empowers entirely new user experiences.

Learn more about Nokia'ssoftware and solutions herelink_to_nokia__solutions.

Nokia is a Business Reporter client.
This article is reproduced from: https://www.usatoday.com/story/sponsor-story/br-studio/2024/08/22/take-the-lead-become-the-ai-powered-digital-experience-provider/74872817007/

Please indicate when reprinting from: https://www.iz96.com/Anime_comics/NOKIA_INNOVATION_TECHS_2023.html

AI Powered Telecom Transformation Dynamic Service Models in 5G Era CSPs Adapt to On Demand Culture Data Mesh for AI Integration Nokias AI Solutions for Telecoms Personalized Connectivity through Tech