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Autonomous networks

As we move toward intelligent society and industry, artificial intelligence (AI) will be integrated into almost everything – learning, adapting and intelligently automating. The real value of AI, however, is not limited to applications which connect to the network; but will ultimately be realized in the networks themselves, being instrumental for the evolution of the network and an enabler of future network management. This leads us into an era of intelligent, autonomous networks – serving up the speed, scale and capacity of intelligent society and industry – with close to zero touch.

Through extensive domain knowledge, together with one of the largest data sets in the industry, Ericsson is leading industry research into future autonomous networks. With our Global Artificial Intelligence Accelerator (GAIA), Ericsson data scientists and AI architects are already advancing technologies surrounding self-healing, self-organizing and self-configuring autonomous networks. Only this will be able to sustain the increasing complexity, diversity and density of Industry 4.0 with true ease.

Highlights

Latest trends and insights for autonomous networks

Touch the future of autonomous networks. Explore the latest trends and insights across autonomous networks.

Avoiding gridlock through cognitive architecture

Explore how cognitive architecture technology can be used to overcome traffic overload in big cities.

Artificial intelligence in next generation systems

Find out how artificial intelligence and machine learning will be key to digitalizing industries.

Cognitive technologies in network and business automation

Learn how cognitive applications can support businesses to adapt to a new market reality

Network intelligence. Engineered for 5G.

The road to fully autonomous networks begins with engineered intelligence. Learn how Ericsson combines machine learning and human ingenuity to carry up to 40% of the world’s mobile traffic.

Explore Ericsson’s intelligent networks