SEP 07 2020: Growing complexities in the communication networks today calls for an intelligent approach to network planning and optimization. With the rise of Artificial Intelligence (AI) techniques, new technology paradigms such as network virtualization, self-organizing networks (SONs), intelligent antennas, AI-powered radio-frequency (RF) front end and intelligent chipsets can be easily embedded into the communication networks. Telecom companies are therefore leveraging AI solutions to achieve hyper-automation of telecom networks and usher in an era of self-healing and self-configuring networks. Inclusion of network intelligence allows mobile network operators (MNOs) to achieve efficient network management and cross spectrum protection. This report includes a comprehensive analysis of the adoption of AI in telecom, highlighting the major technology trends and opportunities available across the ecosystem.

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The "Artificial Intelligence In The Automotive Industry - M&A Trend Analysis" report has been added to ResearchAndMarkets.com's offering. Artificial Intelligence (AI) is redefining the automotive industry, especially in the development of innovative hardware and software stack for level 5 autonomy and intelligent ADAS systems. As AI adoption peaks, organizations are realizing the need to understand and leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. AI is thus driving merger and acquisition trend in the automotive sector. Further, state of the art customizations are increasingly replacing traditional automotive platforms - a trend that is strengthening in the automotive industry.