Edge computing in 5G will facilitate use of Al

In the session “Future of Talent", Professor Abhay Karandikar, Director, IIT Kanpur, said that innovations in tools and platforms, combined with the applicability of AI/ML can bring a very significant shift in the gig economy

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Prof. Karandikar said that we have seen many technologies, such as 2G, 3G, and 4G. Now, 5G is here: Besides human-to-human communications, it is also for human-to-machine and M2M communications. 5G will touch almost every sector of the Indian economy. 5G use cases are about eMBB offering high data rates and open low-latency communications.

There is increased softwarization that is also happening. There is convergence of cloud and communications, broadcast and broadband, etc. Features like network slicing are enabled by SDN and NFV. We are also seeing evolution of Al/ML. Edge computing in 5G will facilitate use of Al. There will be a scalable and distributed Al paradigm. Al and ML use cases will get enabled in future with deployment of loT and mobile devices. In agriculture and farming, there will be Al and analytics powered by 5G.