Nokia has introduced AVA Fixed Network Insights, an AI-powered solution that employs the Software-as-a-Service (SaaS) model to its range of Fixed Network solutions, to boost network operators' customer service effectiveness while reducing expenses.



With Bell Labs' artificial intelligence and machine learning algorithms, the AVA Fixed Network Insights solution provides automated recommendations to operations and customer service teams, enabling proactive problem identification and remote resolution within the home and access domains before network service disruptions occur. It is expected to enhance the overall customer experience for end-users, as well as reduce call handling times and improve first-call resolution.

Nokia's telecom SaaS approach focuses on assisting network operators in launching new services more efficiently, speeding up time-to-value, and simplifying complex processes. To avoid large upfront costs and the need for on-premises software upkeep and updates, operators can employ a subscription-based method. Future versions of the AVA Fixed Network Insights solution are anticipated to include chatbot-powered support, allowing end-users to easily implement suggestions without requiring technical assistance.

Mark Bunn, Senior Vice President of Cloud and Network Services at Nokia, emphasized the company's commitment to offering telecom SaaS solutions with a shorter time-to-value and lower total cost of ownership for customers. Nokia's Fixed Networks applications, including Altiplano Access Controller and WiFi Cloud Controller, are already available for deployment by network operators via a SaaS subscription, providing them with greater flexibility and scalability.

The SaaS delivery model is considered crucial in the operators' digital transformation journey by industry experts. Julie Kunstler, Chief Analyst of Broadband Access Intelligent Service at Omdia, praised Nokia's Fixed Network Insights as a critical advance toward achieving AIOps-driven, self-healing fixed broadband networks. With the upcoming commercial launch of AVA Fixed Network Insights, Nokia continues to promote innovation in the telecommunications sector by supplying operators with state-of-the-art tools to improve service offerings and operational efficiency.

AVA Fixed Network Insights is a cloud-based platform that leverages Artificial Intelligence (AI) and Machine Learning (ML) algorithms to provide real-time insights and analytics for fixed network operators. This innovative solution enables operators to optimize their network performance, reduce operational expenses, and improve customer experience.

Key Features and Benefits

Predictive Analytics: AVA's AI-powered engine analyzes network data to predict potential issues, allowing operators to take proactive measures to prevent outages and reduce downtime.
Real-time Insights: The platform provides instant visibility into network performance, enabling operators to identify and troubleshoot issues quickly and efficiently.
Automated Root Cause Analysis: AVA's advanced algorithms automatically identify the root cause of network issues, reducing the time and effort required for troubleshooting.
Scalability and Flexibility: As a SaaS-based solution, AVA Fixed Network Insights can be easily scaled up or down to meet the evolving needs of fixed network operators.
Industry Impact and Implications

Nokia's launch of AVA Fixed Network Insights marks a significant shift in the way fixed network operators approach network optimization. By leveraging AI and ML, operators can now make data-driven decisions, reduce operational expenses, and improve customer satisfaction. This solution has the potential to disrupt the traditional network optimization landscape, forcing competitors to rethink their strategies and invest in AI-powered solutions.

Professional Slang Used:

SaaS (Software as a Service) - a software delivery model where applications are hosted and managed by a third-party provider.
AI-powered - solutions that leverage Artificial Intelligence algorithms to perform tasks or make decisions.
ML (Machine Learning) - a subset of AI that involves training algorithms to learn from data and improve their performance over time.
Predictive Analytics - the use of statistical models and data analysis to forecast future events or behaviors.
Real-time Insights - the ability to analyze and respond to data as it happens, in real-time.
Automated Root Cause Analysis - the use of algorithms to identify the underlying cause of a problem or issue.
Scalability - the ability of a system or solution to adapt to changing demands or requirements.