Organizational transformation with intelligent automation: Case Nokia Software

2021 ◽  
pp. 204388692095487
Author(s):  
Tapani Rinta-Kahila ◽  
Esko Penttinen ◽  
Kalle Lyytinen

Nokia Software is spearheading the development of artificial intelligence solutions in the field of telecommunications. The company aims to seize the opportunities of 5G networks with its Telco AI: a powerful artificial intelligence tool for telecom operators that allows a simultaneous optimization of network services and the business behind it. As Nokia Software’s Mikko Laine is presenting the solution to a potential client, the latter one brings up potentially significant concerns with Telco AI that Laine has not fully thought through: how to execute an organizational transformation to fully exploit Telco AI’s capabilities, and how to prevent skill deterioration and losing control over the process to the intelligent automation.

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammed Al-Maitah ◽  
Olena O. Semenova ◽  
Andriy O. Semenov ◽  
Pavel I. Kulakov ◽  
Volodymyr Yu. Kucheruk

Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers of users and the quality of service satisfaction. Call admission control plays a significant role in providing the desired quality of service. An effective call admission control algorithm is needed for optimizing the cellular network system. Many call admission control schemes have been proposed. The paper proposes a methodology for developing a genetic neurofuzzy controller for call admission in 5G networks. Performance of the proposed admission control is evaluated through computer simulation.


Author(s):  
Václav Cejthamr

The rapid pace of change and the rapid growth of technology, especially artificial intelligence, are accelerating the pace of organizational transformation in enterprises. Organizations must be able to respond appropriately. Hierarchical structures still dominate current organizational systems. One way to respond adequately to today's challenges is to introduce flat organizational structures that represent a specific decentralized management system. Flat organizational structures, represented mainly by holacracy, require other ways of motivating workers, mostly predominantly millennials. In addition, organizations can no longer count on employee loyalty. However, boss-less organizations that rely on self-management and self-control are not suitable for every employee, and the concept of self-management and the boss-less organization has to be further developed and adjusted. The solution can be to redesign a traditional hierarchical model of needs that should be adapted and targeted to the current needs of flat organization employees that no longer count on managers.


2019 ◽  
Vol 26 (5) ◽  
pp. 134-141 ◽  
Author(s):  
David M. Gutierrez-Estevez ◽  
Yue Wang ◽  
Marco Gramaglia ◽  
Antonio De Domenico ◽  
Ghina Dandachi ◽  
...  

Author(s):  
Attai Ibrahim Abubakar ◽  
Kenechi G. Omeke ◽  
Metin Ozturk ◽  
Sajjad Hussain ◽  
Muhammad Ali Imran

2020 ◽  
Vol 14 (3) ◽  
pp. 4232-4241 ◽  
Author(s):  
Iacovos Ioannou ◽  
Vasos Vassiliou ◽  
Christophoros Christophorou ◽  
Andreas Pitsillides

2021 ◽  
Vol 8 (1) ◽  
pp. 17-xx
Author(s):  
Md. Mostafijur Rahman ◽  
Mani Manavalan ◽  
Taposh Kumar Neogy

The occurrence of various devices that are interlinked to provide advanced connectivity throughout the systems revolves around the formation of 5G systems. Artificial Intelligence plays a fundamental role in the 5G networks. The popularity and integration of 5G have emerged through advanced cellular networks and many other technologies. This innovative and speedy network has built strong connections in recent years, its conduct in business, personal work, or daily life. Artificial Intelligence and edge computing devices have optimized internet usages in everyday life. The growth of 5G networks is effective in the AI/ML algorithms due to its low latency and high bandwidth, which also performs real-time analysis, reasoning, and optimization. The 5G era has fundamental features that are highlighted among the revolutionary techniques which are most commonly used by cellular device networks, such as the resource management of radio, mobility management, and service management, and so on. This work also integrates the selection of spectrum and access the spectrum which AI-based interface to accomplish demands of 5G. The strategies which are introduced are Fractional Knapsack Greedy-based strategy and Language Hyperplane approach which becomes the basis of subsequently utilized by strategies of Artificial Intelligence for purpose of the selection of spectrum and the right allocation of spectrum for IoT-enabled sensor networks.  


2020 ◽  
Vol 58 (7) ◽  
pp. 51-57
Author(s):  
Refik Fatih Ustok ◽  
Ugur Acar ◽  
Selcuk Keskin ◽  
David Breitgand ◽  
Avi Weit ◽  
...  

2020 ◽  
Vol 6 (2) ◽  
pp. 858-871 ◽  
Author(s):  
Ghina Dandachi ◽  
Antonio De Domenico ◽  
Dinh Thai Hoang ◽  
Dusit Niyato

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