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In a competitive marketplace where connectivity is a necessity there is no acceptable downtime; the service has to be up, 100 percent of the time. From gamers to heavy industry, users are looking for speed, availability and consistency.
To make sure these needs are met consistently, Ericsson’s Service Continuity AI apps suite “thinks in data”, utilizing 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 has been developed together with communications service providers (CSPs). They are not “one-size-fits-all” solutions; rather, they are intelligent algorithms that can be adjusted and adapted to suit your needs.
AI apps help detect and resolve potential issues in your network, acting on specific parameters to improve performance and quality based on the objectives you set out.
Thanks to AI, the apps in the suite effectively make up an ever-evolving service, analyzing vast 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.
The hallmarks of a resilient 5G network are reliability, availability, robustness and security. AI provides value across all layers in a telecom network and together they enable you to develop and grow your network incrementally, into a network of the future. Our Service Continuity offering has now been boosted with products near AI apps as enablers to ensure network resilience.
AI inside Products:
AI inside products, improving their performance
AI in product-near service
AI in services close to the products delivers resilience and high-performance with reduced TTM and expertise requirements
AI in Operations
AI to handle, understand and act on operational data
The success of service continuity in modern networks can be summed up in a relatively simple formula.
|HI + AI + raw network data||→:||high-performance networks + accurate business decisions|
Thinking in data requires both quantity and quality, and raw network data is the largest pool of data available.
The table below shows the data structure from a service provider continuously analyzed with Ericsson’s Service Continuity.
|Average network data input for Service Continuity AI apps suite||Datasets:||Collect, process and create an ML model|
|70B records of data points||(structured data)||Complex:|
|20M lines of logs||(semi-structured data)||Highly complex|
|3M records of alarms||(unstructured data)||Very complex|
This is combined with the knowledge of our experts, who are in continuous interaction 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 issues compared to an unsupervised AI in the same network during the same period. While the AI software improves and the anomaly detection capability increases, human supervision maximizes the impact of the introduction of each new AI app and subsequent changes to the network which can impact the algorithm.
Five offering categories:
The AI apps are grouped into five main offering categories – insights, performance, assurance, self-healing, and energy efficiency.
|Insights:||AI apps which perform network-wide or large-scale audit work to help prioritize network operation activities and increase operational efficiency.|
|Performance:||AI apps which alert on-top offending cells in critical KPI’s and automate the fault isolation process to improve network performance and increase operational efficiency|
|Assurance:||AI apps which check symptoms and fingerprints to alert potential system failures ahead of alarms to avoid service outages and improve network quality.|
|Self-Healing:||AI apps which detect network anomalies and perform automatic recovery actions to prevent service outages.|
|Energy Efficiency:||AI apps which save power and improve energy efficiency while protecting and improving network performance.|
Each of the AI apps brings with it 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 moving too quickly into implementing automated or AI-powered elements, which is why Ericsson provides each customer with a dedicated team to support them on their journey.
This team will help to remove entry barriers that prevent the CSP from integrating AI-powered solutions to their network, helping them to identify their specific needs and providing guidance on where to get started and how to move along the AI journey. These consultancy services will also help CSPs to identify the organizational shifts and technological changes that may be necessary to fully harness the power of AI.
Operational integration of the AI at product and product-near level is coupled with closed loop functions at the network level. The 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 have revealed some fascinating results.
- Resilience: 35 percent reduction in critical incidents and reductions in network performance issues of 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, greatly improving network stability and operational efficiency
- Sustainability: Reductions of 43 percent for unnecessary radio replacements and,
- Economical: Energy cost savings of 15 percent were recorded thanks to the automation of the deep sleep feature, making the network more sustainable
Spirit of collaboration
Underpinning the AI app suite is a spirit of collaboration, internally and externally. Ericsson has 3500 domain and network experts in 180 countries that have contributed to the creation of these AI apps in tandem with service providers. This ecosystem of shared knowledge and expertise is vital in providing the best foundation possible for the apps to be of use from the moment they are deployed.
For CSPs, perhaps the biggest benefit is the ability to shift focus away from the laborious work of collecting data and analyzing it to identify faults; with AI taking care of this in near-real time, they can instead concentrate on developing new products and services to increase revenue while the network assets are optimized 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 innovation in service continuity as we developed customized AI apps with the CSPs. Based on those experiences, we have seen the full hidden complexity of data-driven network operations.
In order to accelerate the transformation to AI-powered service continuity, we also offer a data-driven transformation consultancy service.
Specialized service continuity transformation consultants help you to address not only the tip of the iceberg, but also the organizational shifts and technological building blocks that are required to get the maximum benefit of AI in data-driven operations.
They can assist you with redefining process and governance for the AI apps, identify recommendations for planning converged operations via a continuous preemptive feedback loop, and provide analytics, automation and artificial intelligence (AAA) skills and end-to-end preemptive competence.
AI will be a key element in creating the high-performance, resilient networks of the future. Teaching your network to think in data – and then act on data – will make it leaner, more responsive and more reliable, reducing expenditure and energy usage while offering greater opportunities for new products and services, all with a consistently high level of performance.
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 CSPs and service users alike.
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