Nokia has announced plans to open a network of Cognitive Collaboration Hubs to drive collaboration between operators and enterprises on the development of AI-powered use cases. By hosting development on the Nokia AVA cognitive services platform, the hubs will reduce operators’ time to market and increase their return on investments in data analytics.
The Cognitive Collaboration Hubs build on the success of Nokia Cloud Collaboration Hubs established in 2018, which have attracted substantial interest from operators to help them build new cloud-based capabilities.
The hubs aim to provide a catalyst for operator strategy development and help them solve key challenges by applying analytics and AI techniques. Agile development processes are used to jointly create use cases, test and put them into operation within weeks.
Typical application areas focus on network operations, network performance, customer experience and data monetization. 5G is another key focus, and Nokia is currently working with several US operators on the use of machine learning to improve 5G network planning – for example to help identify the best site locations or Massive MIMO beamforming configurations.
“Network operators are eager to deploy AI to improve network operations and strengthen customer relationships,” GlobalData service director for telecom technology and software John Byrne said.
“Nokia’s Cognitive Collaboration Hubs can help accelerate those plans by providing a space for operators, partners and enterprises to co-create new AI solutions utilizing a mix of data science and telco domain expertise.”
Nokia is already engaged in a number of AI-based trials with operators worldwide. For example, in Turkey, Nokia and Türk Telekom are testing machine learning based artificial intelligence technologies on new generation mobile and fixed networks by using Nokia’s artificial intelligence assistant MIKA and AVA cognitive services platform.
Nokia is also announcing a new innovation to improve road safety and passenger experience. Driver Behavior Analytics provides real-time analysis of data from commodity sensors delivering useful data insights for government authorities, the automotive industry and commercial enterprises.
Advanced insights derived using a proprietary smartphone application to deliver information on aggressive driving, inadequate road conditions or dangerous junctions.