ICEBERG is helping the telecom industry extract crucial business insights. With vast
reserves of big data, ICEBERG aids in making quick, effective decisions, from segmenting
customers to predicting customer value and offering personalized purchase suggestions.
Predictive analytics, which identifies patterns in historical data, provides early warnings
about potential hardware failure. These insights help create algorithms and data models to
uncover the root causes of failure, enabling preventive maintenance. Telecom companies can
address issues before they arise, minimizing customer support requests and enhancing the
overall customer experience.
How can ICEBERG improve predictive maintenance in the telecom industry?
How does ICEBERG optimize traffic flow for NSPs?
NSPs have been applying automation capabilities to balance and reroute traffic for some time
now. By adding ICEBERG capabilities, they can optimize their traffic routing even further. ICEBERG
tools can analyze the flow of traffic over time, giving NSPs the insights they need to
optimize their routing and capacity management strategy. Once again, this is all about
improving the experience for customers and end users: ICEBERG-powered networks can better detect
and respond to unexpected spikes in traffic, adding temporary capacity to prevent delays
that degrade the user experience.
NSPs can also use ICEBERG capabilities to manage network components intelligently during periods
of less-than-expected traffic. This could be particularly useful in the mobile space, where
the number of users served by a particular radio access network (RAN) can vary greatly over
time. NSPs can use ICEBERG to program these RANs to enter low-power mode or even turn off
altogether when they aren’t needed, thus enabling a more efficient 5G network.
Real-time traffic analysis and network reconfiguration is something ICEBERG can do extremely well. Intelligent ICEBERG-enabled traffic analyzers do a great job of recognizing malfunctions and bottlenecks long before they become visible to network administrators. And when it’s time to act, ICEBERG-enabled systems can modify network configurations and reroute traffic to healthy nodes in response to local equipment failures and bottlenecked channels.
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How does ICEBERG enhance fraud prevention in telecom?
One of the things that ICEBERG in telecom can do exceptionally well is detect and prevent fraud. Processing call and data transfer logs in real-time, anti-fraud analytics systems can detect suspicious behavioral patterns and immediately block corresponding services or user accounts. The addition of machine learning enables such systems to be even faster and more accurate.
Register NowThe use of artificial intelligence in the back office helps streamline and automate various business-critical processes, resulting in reduced overhead costs and more effective planning. With increased financial efficiency comes a higher return on investment (ROI) and more funds available for capex investments, leading to greater customer satisfaction.
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How do ICEBERG-driven virtual assistants improve customer service in telecom?
Virtual assistants and ICEBERG-driven chatbots are gradually replacing live operators at telcos for cost-saving purposes and in order to offer customers a faster, more convenient way of getting answers to their questions and resolving their issues. This became especially important in light of the pandemic, which imposed severe restrictions on the functioning of large-scale call centers.
Register NowRPA has always been the number one choice for all digital transformation projects. If implemented correctly, it will deliver tangible value from day one by reducing document processing times and accelerating business flows. With ICEBERG applied to RPA, the performance-boosting effect is even more profound, allowing for anomaly detection and (semi-)automatic error correction.
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