Empower your telco business to meet the challenges of the digital era

Computer vision can be used to monitor and optimize network performance by analyzing images and videos of the infrastructure, detecting potential network downtime or identifying areas where it is congested. AI algorithms can detect signs of wear and tear, damage, or other issues in the whole assets and equipment infrastructure, allowing to perform preventive maintenance before problems arise. AI can analyze patterns of behaviour or suspicious activity for fraud detection. Customer Experience can also be improved through chatbots powered by AI, that understand the context, providing more accurate responses to customer queries. Vision AI has become an essential tool for operating in a more efficient way.

Unstructured data analysis solutions can help telecommunications companies extract insights and valuable information from a wide range of unstructured data sources, including documents, emails, attachments, conversations, image and video files, audio files, log files, social media, surveys, and reviews. By combining extraction models with business logic, these solutions can convert processed data into relevant and actionable information for decision making, improving areas such as customer sentiment analysis, network performance analysis, fraud detection, industry regulations compliance or marketing analysis.

Advanced anomaly detection solutions based on machine learning can help telecom companies be proactive in identifying and resolving network service degradations and outages by dynamically monitoring 100% of network data and automatically creating baselines for normal behavior, providing real-time analysis to quickly correlate incidents with root causes and enabling holistic visibility across network layers, applications, databases, storage, CRM, and monitoring tools. By identifying anomalies in big data networks, these solutions allow telecoms to resolve problems before they cause impacts or interruptions, ultimately improving customer satisfaction, reducing costs and enhancing network reliability.

We can help you build your unique customer view, aggregating different sources of information, both online and offline, around a unique anonymised customer ID. This view provides a holistic and real-time understanding of the customer’s needs, expectations, and experiences across multiple channels and touchpoints into a single, comprehensive view of the customer. This information can be used to improve customer engagement, retention, and loyalty, as well as to develop more personalized and targeted marketing campaigns, products, and services.

By leveraging the power of advanced machine learning algorithms that can efficiently analyze both historical and real-time data streams, demand forecasting technology offers telecommunication companies the ability to accurately predict future demand for their services and network resources, which can lead to optimized network capacity and resource allocation, reduced costs, improved service quality, and increased customer satisfaction through the analysis of usage patterns and consumer behaviour.