iauro

The GenAI Paradigm: How GenAI is Redefining Issue Resolution to Turbo Charge Operational Efficiency
and
Improve Bottomline for Telecom Companies

Problem  Statement

The telecommunications sector has witnessed a remarkable transformation over the past few decades, evolving from the era of 2G to the current era of 5G. This progression has not only revolutionized service delivery to subscribers but has also redefined the way people communicate and enjoy entertainment. The introduction of advanced spectrum technology and smartphones has paved the way for various allied services, including OTT platforms, social media networks, and a plethora of applications. Consequently, the telecom industry’s continuous technological advancements and its interdependence with related services have given rise to a myriad of technical issues related to hardware.

These issues are usually referred to by telecom operators as alarms or anomalies. Within this landscape, telecom companies grapple with a significant challenge – managing the high volume of data generated by these alarms. These incidents can reach staggering numbers, often totaling in the millions on a daily basis.

When alarms occur, NOC operators investigate, generate detailed tickets, and assign them to vendors who consult SOPs in their KMS for issue resolution. This process can be time-consuming, taking 1 to 24 hours, while strict SLAs in the telecom sector require swift resolution to maintain operational efficiency and customer satisfaction.

Solution  Provided

In response to this pressing challenge, iauro has developed ChatOps, a cutting-edge GenAI solution designed explicitly to expedite issue resolution within the telecom industry. This is a private Large Language Model as the data in case of telecom sector is sensitive and largely resides on-prem cluster. ChatOps acts as a prompt for GenAI, acting as troubleshooting assistance offers swift and efficient means of resolving problems raised through tickets.

Example of the functioning

Business  Impact

Dramatic MTTR Reduction

The implementation of ChatOps significantly reduces Mean Time to Repair (MTTR), ultimately enhancing the customer experience by ensuring prompt issue resolution.

Minimized Manual Intervention

The solution minimizes the need for manual interventions by automating processes and enhancing overall operational efficiency.

Operational and Cost Efficiency

By providing faster solutions, the platform contributes to substantial reductions in operational costs, labor expenses, and resource engagement thus streamlining operations and improving the bottom line.

With ChatOps, iauro has unlocked a transformative solution that not only addresses the challenges posed by telecom network alarms but also propels the industry towards greater efficiency and customer satisfaction

The GenAI Paradigm:  How GenAI is Redefining Issue Resolution to Turbo Charge Operational Efficiency and Improve Bottomline for Telecom Companies
Problem Statement

The telecommunications sector has witnessed a remarkable transformation over the past few decades, evolving from the era of 2G to the current era of 5G. This progression has not only revolutionized service delivery to subscribers but has also redefined the way people communicate and enjoy entertainment. The introduction of advanced spectrum technology and smartphones has paved the way for various allied services, including OTT platforms, social media networks, and a plethora of applications. Consequently, the telecom industry’s continuous technological advancements and its interdependence with related services have given rise to a myriad of technical issues related to hardware.

These issues are usually referred to by telecom operators as alarms or anomalies. Within this landscape, telecom companies grapple with a significant challenge – managing the high volume of data generated by these alarms. These incidents can reach staggering numbers, often totaling in the millions on a daily basis.

When alarms occur, NOC operators investigate, generate detailed tickets, and assign them to vendors who consult SOPs in their KMS for issue resolution. This process can be time-consuming, taking 1 to 24 hours, while strict SLAs in the telecom sector require swift resolution to maintain operational efficiency and customer satisfaction.

Solution Provided
In response to this pressing challenge, iauro has developed ChatOps, a cutting-edge GenAI solution designed explicitly to expedite issue resolution within the telecom industry. This is a private Large Language Model as the data in case of telecom sector is sensitive and largely resides on-prem cluster. ChatOps acts as a prompt for GenAI, acting as troubleshooting assistance offers swift and efficient means of resolving problems raised through tickets.
Cinque Terre Cinque Terre
Example of the Functioning
Cinque Terre
Business impact

Dramatic MTTR Reduction

By rectifying the inherent bottlenecks in query resolution, our solution has significantly streamlined operations, reducing overhead costs and rendering operations far more efficient.

Minimized Manual Intervention

The solution minimizes the need for manual interventions by automating processes and enhancing overall operational efficiency.

Operational and Cost Efficiency

By providing faster solutions, the platform contributes to substantial reductions in operational costs, labor expenses, and resource engagement thus streamlining operations and improving the bottom line.

With ChatOps, iauro has unlocked a transformative solution that not only addresses the challenges posed by telecom network alarms but also propels the industry towards greater efficiency and customer satisfaction