What we Used AI For, in Telecom

Leverage AI/machine learning to enable the proactive identification of customers at risk of churning. Target, cross-sell, and up-sell opportunities for existing customers, and a shift to proactive vs. reactive after-sale services. Aggregate petabyte-scale data from sensors, devices, enterprise systems, and operational systems to generate accurate predictions of asset failure. Our AI Predictive Maintenance provides planners and human operators with a comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver high-quality network services, and reduce maintenance costs.

Drive sales by identifying the most relevant price and promotional offers for each customer.

Improve customer experience while reducing operational costs with AI-enabled field-staff scheduling.

Reduce wasted CapEx using data-based analysis of current usage and AI-model-driven demand forecasts.