Network Mind facilitates the management of millions of network elements with millisecond response time and automatic adaptation and optimization based on service changes. Network Mind is therefore capable of helping telecom operators and enterprises achieve differentiated, self-adaptive control of complex services in ultra-large networks. The amount of network elements, data traffic, and types of service in communication networks is soaring as new technologies continue to emerge, including 5G, the Internet of Things, Software-Defined Networking, Augmented Reality, and Virtual Reality. This results in a level of network complexity that is impossible to manually control through defined rules. How automatic modeling can be used to realize intelligent network control and management is a major topic of study at many research institutions.

The lab they have created has also had some big wins, not only for them, but also for the networks on which their phones run. For instance, their work has helped carriers across the world to reduce their pay-as-you-go customer churn rate from 10% to 6%. They have been working on a machine learning driven network control system, which will achieve automated network traffic control. 'Tests indicate that Network Mind is up to 500% more efficient in realizing KPIs such as task completion or policy generation compared to existing template or heuristic algorithm-based optimization methods. Network Mind is also over 50 times more efficient when analyzing paths of large optical networks, which has the potential to reduce the time it takes to analyze use cases such as optical network failure prevention from 5 hours to as little as 6 minutes.'