Asset-management and utilities companies routinely collect vast amounts of data on their assets, operations, and customers. Smart M.Apps enable them to generate actionable knowledge from this data. Once merged with artificial intelligence and machine learning patterns this information elevates asset management to enable predictive maintenance. Planetek Italia created a satellite-based reporting service using M.App Enterprise and its cloud platform Rheticus®: Network Alert. Network Alert provides geoanalytics and alerts for monitoring water and sewer networks. It optimizes maintenance activities, allowing customers to detect ground displacement, prevent potential failures, and better organise network inspections. Thanks to AI and machine learning algorithms implemented in the pipeline's status inspections, various field data, and several open data sources such as pluviometers, bus routes, and GPS tracks, Rheticus creates inputs to support the predictive maintenance of the network. Gruppo Hera has received significant positive feedback over the last 12 months for using Rheticus® Network Alert. They have improved their capacity of pipeline problem detection by 40% and plan to introduce data modelling to highlight potential problem areas before they manifest. Rheticus guarantees an unprecedented cost-benefit radio on the cloud, on a partner's M.App Enterprise installation, and/or on customers' premises anytime there is a need for network data confidentiality.