RU

TelecomIndustry

We create everything that your enterprise needs from training data to working with unstructured text, images and videos for machine learning.

Contact us

Telecom Industry

Artificial intelligence will have a huge impact on multiple areas. The most important impact on the telecom sector is the traffic classification, anomaly detection and prediction, resource utilization and network optimization along with network synchronization. Further, it will also assist the mobile devices with the virtual assistants and the bots.


Automation

AI in telecom will help to create alerts and advice subscribers to the best plan. It will also be essential for creating the personalized and adaptive customer journey. Emerging technologies like cloud and IoT are pushing the networks to handle the higher volumes of data, therefore making the automation necessary for better planning and connectivity.


Better Networks

Artificial intelligence will eliminate the need of a human as a controller. With AI, the network can decide on its own and also take the next course of action through various hardware and software solution which are essentially IoT solutions. Artificial intelligence based network applications such as precision algorithms can provide intelligent network optimization solutions. Moreover, artificial intelligence technology will also lead to the evolution of automatic, self-optimizing and self-healing networks.


Better User Experience

The existing telecom processes such as network operations have been performed manually resulting in delays and errors which negatively impact the customer experience. To resolve these issues, businesses process in telecom can be automated using artificial intelligence capabilities like machine learning, deep learning, and natural language processing.


Improved SDN

The need for artificial intelligence to drive the automated operations will continue to grow as the network moves from being physical to being virtual. SDN (Sofware defined networking) and network functions will be dependent on the automated processes to deliver the service agility and cost efficiency.


Artificial intelligence networks have the ability to think beyond their correlative programming and suggest outcome based scenarios. In the upcoming future, AI will be able to differentiate between the casual and correlative proactively pursue their own choice of outcomes beyond the scope of human programming.