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In a competitive market where connectivity is a necessity, there is no acceptable downtime; the service must be running 100 percent of the time. From gamers to heavy industry, users are looking for speed, availability and consistency.
To ensure these needs are consistently met, Ericsson’s Service Continuity AI apps suite thinks in data, using AI to deliver on your network’s promise.
The Service Continuity AI app suite is the latest addition to Ericsson’s Network Support Services portfolio. The app suite was developed in collaboration with communication service providers (CSPs). They are not ‘one-size-fits-all’ solutions; rather, they are intelligent algorithms that can be modified and adapted to your needs.
AI apps help detect and fix potential problems in your network, acting on specific parameters to improve performance and quality based on the goals you set out.
In fact, thanks to AI, the apps in the suite are an ever-evolving service, analyzing massive amounts of data to continuously improve the quality and performance of the network over time. In other words, the AI app suite is combined with human insight to enable your network to start thinking in data.
So how does this improve service continuity? Let’s take a closer look at that.
The characteristics of a resilient 5G network are reliability, availability, robustness and security. AI offers value across all layers of a telecom network and together they enable you to gradually develop your network and build it into a network of the future. Our Service Continuity offering has now been enhanced with products close to AI apps as enablers to ensure network resilience.
AI in products
AI in products, improving their performance
AI in product-near service
AI in close-to-product services delivers resiliency and high performance with reduced TTM and expertise requirements
AI in operations
AI to process, understand and respond to operational data
The success of service continuity in modern networks can be summarized in a relatively simple formula:
|HI + AI + raw network data||→||powerful networks + accurate business decisions|
Thinking in terms of data requires both quantity and quality, and raw network data is the largest data pool available.
The table below shows the data structure of a service provider that is continuously analyzed with Ericsson’s Service Continuity:
|Average network data entry for Service Continuity AI apps suite||Datasets||Collect, process and create an ML model|
|70B records of data points||(structured data)||Complex|
|20 million lines of logs||(semi-structured data)||Very complex|
|3M alarm recordings||(unstructured data)||Very complex|
This is combined with the knowledge of our experts, who continuously interact with AI.
So how does this work in the real world?
In one customer network where our experts provided human insight, we were able to identify twice as many problems in the same period compared to an unattended AI in the same network. As AI software improves and anomaly detection capacity increases, human surveillance maximizes the impact of the introduction of each new AI app and subsequent changes to the network that can affect the algorithm.
Five offer categories
The AI apps are grouped into five main categories: insights, performance, assurance, self-healing, and energy efficiency.
|Insights||AI apps that perform network-wide or large-scale auditing to help prioritize network activities and increase operational efficiency.|
|Performance||AI apps that alert on-top violating cells in critical KPIs and automate the fault isolation process to improve network performance and increase operational efficiency|
|security||AI apps that monitor symptoms and fingerprints to warn of potential system failures before alarms to prevent service outages and improve network quality.|
|self-healing||AI apps that detect network anomalies and perform automatic remediation actions to prevent service outages.|
|Energy efficiency||AI apps that save energy and improve energy efficiency, while protecting and improving network performance.|
Each of the AI apps brings its own benefits to both CSPs and those using their services, the most obvious being improved network quality and stability.
Given the importance of service continuity, many CSPs are wary of adopting automated or AI-powered elements too quickly. That’s why Ericsson offers every customer a dedicated team to support them during their journey.
This team will help remove entry barriers that prevent the CSP from integrating AI-powered solutions into their network, help them identify their specific needs and provide guidance on where to start and how to move forward on the AI journey. These advisory services will also help CSPs identify the organizational shifts and technological changes that may be needed to fully harness the power of AI.
Operational integration of the AI at the product and product-near level is accompanied by closed loop functions at the network level. Ericsson’s Service Continuity AI app suite helps you save time and focus on your end-user experience, while your network consistently delivers unique value.
Extensive research and implementations of the AI app suite in real-life networks has yielded some fascinating results:
- Resistance: 35 percent reduction in critical incidents and reduction in network performance issues by up to 60 percent, making the network including radio and core more robust and stable
- Zero touch: On one network in one month, there were 200 zero-touch fixes, significantly improving network stability and operational efficiency
- Sustainability: Reductions of 43 percent for unnecessary radio replacements and,
- Economic: Energy cost savings of 15 percent were recorded thanks to the automation of the deep sleep function, making the network more sustainable
Spirit of cooperation
The foundation of the AI app suite is a spirit of collaboration, both internally and externally. Ericsson has 3,500 domain and network experts in 180 countries who, together with service providers, have contributed to the creation of these AI apps. This ecosystem of shared knowledge and expertise is vital to provide the best possible foundation for the apps that are usable from the moment they are deployed.
Perhaps the greatest benefit for CSPs is the ability to shift focus from the tedious work of collecting data and analyzing it to identify errors; Because AI handles this in near real-time, they can instead focus on developing new products and services to increase revenue, while optimizing network assets for maximum return.
The future: from thinking in data to acting in data
The advent of co-creation two years ago put Ericsson at the cutting edge of service continuity innovation as we developed custom AI apps with the CSPs. Based on those experiences, we have seen the full hidden complexity of data-driven network operations.
To accelerate the transformation to AI-driven service continuity, we also offer a data-driven transformation advisory service.
Dedicated service continuity transformation consultants help you tackle not only the tip of the iceberg, but also the organizational shifts and technology building blocks needed to get the maximum benefit from AI in data-driven operations.
They can help you redefine processes and governance for the AI apps, identify recommendations for planning converged operations through a continuous preventive feedback loop, and analyze, automation and artificial intelligence (AAA) and end-to-end skills. -end provide preventive competence.
AI will be a key element in creating the powerful, resilient networks of the future. Teaching your network to think in terms of data — and then act on data — makes it leaner, more responsive and reliable, reducing spend and energy consumption and opening up more opportunities for new products and services, all with a constant high performance level.
Ericsson’s AI apps ensure that service continuity in the networks of the future will be proactive rather than reactive, leading to better performance and a more rewarding experience for both CSPs and service users.
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