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 life cycle management


How best to apply AI in the Intelligent RAN Automation

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The Ericsson Intelligent RAN Automation portfolio, shown in Figure 1, features end-to-end network automation that includes centralized and distributed SON solutions and new capabilities that support the transformation to a more open environment enabled for AI/ML, which empowers innovation and support for wide range of use cases, shorter time to market and is highly adaptable supporting existing and future networks. The objective of RAN automation is to boost RAN performance and operational efficiency by replacing the manual work of developing, installing, deploying, managing, optimizing and retiring of RAN functions with automated processes. The AI's role is to unlock more advanced network automation performance to make RAN network functions more autonomous and replace manual processes with intelligent tools that augment humans. Furthermore, it makes both AI/ML powered RAN network functions and tools more robust for deployment in different environments. Ericsson AI and automation foundations gives service providers the platforms, and evolved life cycle management of RAN SW and services to evolve networks efficiently to successfully meet ever-changing demands.


Digital world: AI creates jobs, more products

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Manufacturing with digital platforms for competitiveness, high employment and wealth generation advanced manufacturing is a wide spectrum multi- and inter-disciplinary domain where learning from experiences, simulation and modelling, materials, sensors with Internet of Things (IoT), supply-chain robustness, life cycle management, innovations through imaginations and commercialisation should work in synergy with right expertise of human resources, facilities, infrastructure and polices. Current day manufacturing covers a wide spectrum of industries -- crafts, processed food, textiles, pharma, medical devices etc. The emphasis is on software, design, manufacturing, validation of the products and capturing the imagination of customers for needs and delight through larger and more effective use of digital technologies. Manufacturing remains an engaging frontier of all emerging and advanced nations. High value and high-end customers choose products based on differentiating qualities of the products.