Utilities & Telecommunications

Artificial Intelligence drives innovation in the Utilities and Telcos sectors 

Artificial Intelligence is driving innovation in all sectors; the Utilities and Telcos sector is not going to be less and we are already beginning to see the incredible impact that AI can have on all points of the value chain of companies that offer telephone or public services such as electricity, gas and water.

Utilities (electricity, gas, water, and renewable energies), is today an industry that generates an enormous volume of data that comes both from the customers themselves and from the various assets that are transported, distributed, and generated. The utility cycles, the challenge of capital planning, and the increasing operational risks in the utility sector are factors that make it more important than ever to make smarter and more efficient decisions.

Neural networks have significant applications in the utilities and telecommunications industries, as they can improve operational efficiency, decision-making, and customer satisfaction. These technologies enable the analysis of large amounts of data, the automation of tasks, and the detection of patterns that would be difficult to identify with traditional methods.

Our goal is to provide the market with technology that seeks to improve and automate the delivery and use of these types of services by companies to their end customers.


Main uses of our technology in the sector

Integration of technology into utility company offerings to improve usage and delivery to consumers

Predictive maintenance: Companies use neural networks to predict equipment and system failures. By collecting data from sensors and historical records, neural networks identify patterns of anomalous behavior and issue alerts before problems occur. Optimizing power distribution, minimizing losses, and reducing grid congestion are other major uses of this technology.

Neural networks help utilities and telcos to predict demand for their services and adjust production accordingly. This is especially useful in managing electricity demand at peak times. Neural networks are also frequently used to detect unusual usage patterns or fraudulent behavior in their networks.

These technologies can analyze large data sets to identify trends and preferences, thus enabling the personalization of offers and improved customer retention.

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