Globally, millions are impacted every year due to increased risk of natural calamities such as floods, hurricanes/cyclones, fires, landslides, earthquakes, etc. With increasing global temperatures, extreme weather events are becoming more frequent and intense. According to NASA scientists, in the next 20 years, the probability of flooding over time will increase up to 41% per year, which means every year nearly 41% of the world’s population will experience flooding & would be impacted because of it.
“Just Imagine if there is 41% of flooding per year, what will be the contribution of other calamities like – cyclone/ hurricane, fire, etc. à It will be a Huge Impact !!“
With such an increase in natural calamities (say, flooding), telecom businesses are unprepared to cope-up with nature’s impacts and need help understanding precise relationships between weather and faults. Traditional telecom infrastructures are vulnerable to weather extremes more than ever. This leads to poor customer experience & increase in network downtime – adding unwanted operational costs.
Furthermore, telecom providers are constantly expanding their network and telecom equipment/infrastructure due to the rapidly increasing demand for seamless connectivity, high speed & reliability. Such changing scenarios and the global weather extremities make it quintessential for telcos to implement climate change strategies for strengthening their infrastructure and operations and ensure that future network infrastructure growth is automatically climate-proof.
As per the above trend, out of the total number of incidents taking place across the globe in the last 10 years, on an average, 12 to 15% of these incidents impacted Telecom infrastructures & its services. It is the case with Utility too.
Hence, building network resilience will improve network services in the future and enhance customer experience. On those lines, RMSI’s AI-powered “Telecom Risk Monitoring Platform” makes your network or services disaster proof with the help of flood forecasting & correlation models that will allow before-time alerts, quick impact/risk analysis, and provide extra days for the network operation team for preparation. The output report will help you to visualize the impact of natural calamities (i.e. Floods, Hurricane/Cyclone, Fire, Landslides, Earthquake, etc.) along with a list of devices and infrastructures (i.e. Cell Sites / Towers || Poles || Cabinets etc.) that might be getting impacted due to upcoming natural calamities.
“With such innovations, we are trying to bring in Telecom, Utility, Sustainability, and Geo AI in one Frame – so that our clients can get a single-pane view of their network.”
Due to extreme weather events, telcos face multiple challenges. They have high business interruption due to an increase in the resilience of network components. They also lack prior information on potential impacts and their locations. Further, due to lack of predictive, impact analysis & correlative modules, telcos only adopt a reactive approach. There is a high downtime & repetitive issue occurrence leading to unwanted operational costs. All of these challenges lead to poor customer and network experience. Because of all the above challenges, telcos are unable to derive the impact of rains & floods on their services and telecom equipment including cell sites, towers, poles, cabinets etc.
Understand your telecom network profile risk with RMSI’s AI-powered Platform
With three decades of experience in disaster risk and climate change impact assessment, RMSI has developed a proprietary platform to help the telecom & utility industry understand their networks’ risk profile. We use statistical relationships between climate change and faults in the network and constructed an impact model which predicts & provides 62% of the variability in the fault data, which were never identified/correlated during the manual process.
How the solution helps telcos
- Visualization of the potential impact on Map for high-level monitoring and assessment.
- Proactive monitoring approach: Modeling of cyclones in near real-time, weather forecasting & mapping
- Derive impact of weather: Quick Impact/risk analysis
- Correlating and conveying the impact of natural hazard (i.e. Floods, Cyclone, Fire, Landslides, Earthquakes) on network service, network experience & its infrastructure/equipment (i.e. cell sites / towers | poles | cabinets & other distribution networks, etc.)
- AI/ML-based weather correlation model, using it, the operation team gets before-time alerts & can assist with where there will be an impact on their network due to forecasted weather
AS-IS process v/s using RMSI’s AI-powered “Telecom Risk Monitoring Platform”
Below is one of the examples that showcase the benefits of using RMSI’s AI-powered “Telecom Risk Monitoring Platform”. If you see the below examples, you would understand how RMSI’s AI Powered platform can be quick, accurate – Effective, Cost-saving, and Reduce repetitive & mundane work.
As referred below just compare the effort, and time taken by Humans to Visualize, Analyze, and interpret the impact v/s the time taken by machines (i.e. AI Powered platform).
- 62% more faults were identified (which were earlier missed due to human interpretations & correlations)
- Reduce business interruption due to extreme events
- Replace old ‘fail and fix’ methodology == to ==> proactive monitoring & operationalization
- Improved Mean Time To Detect (MTTD) & hence Mean Time To Restore (MTTR)
- Hence, improved restoration time & SLAs
- The majority of the impacts are correlated & root causes are identified, and pre-notifications are sent across the operations team to be prepared for quick maintenance post an event
- Improved 1st time right score & overall work accuracy
- Due to this, repetitive tasks & operational costs are reduced
- Improved customer & network experience
Key takeaways: In this blog, we saw how RMSI’s AI-powered “Telecom Risk Monitoring Platform” helps telecom & utility industries understand their networks’ risk profile. For more technology & industry-related materials, check out https://www.rmsi.com/blog/