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Edge computing can lower network traffic, reduce latency and facilitate local decision making, all by processing data locally. It helps computation at the edge of the network to process, analyse, and respond to data.
What happens when the edge, AI, and blockchain get together?
Hear from IBMs Utpal Mangla in the article below before his panel participation at Digital Transformation Asia this week. An unfathomable amount of data is generated and processed every single minute around the world! Consider this: each minute 4.5 million videos are watched on YouTube alone. The number of connected devices will exceed 20 billion by 2020, which mean even more data generation – per some industry estimates, 500 trillion GB per year. The current approach, primarily, is to transmit the data from the point of creation to a central cloud or enterprise data center, slowing down response times. Edge computing can lower network traffic, reduce latency and facilitate local decision making, all by processing data locally. It helps computation at the edge of the network to process, analyse, and respond to data. It is therefore unsurprising that according to estimates by Business Insider Intelligence 5.6 billion internet of things (IoT) devices will use edge computing for data processing in 2020. The advent of 5G has made edge computing even more compelling, enabling significantly improved network capacity, lower latency, higher speeds and increased efficiency. 5G promises data speeds in excess of 20 Gbps and the ability to connect over a million devices per square kilometre.
Utilizing edge computing with 5G will provide several new opportunities for CSPs such routing user traffic to lowest latency edge nodes much more securely and efficiently. CSPs can also cater to real-time communications for next-gen apps like autonomous vehicles, drones, remote patient monitoring etc. Data intensive applications that require large amount of data to be uploaded to the cloud can run more effectively. To benefit from edge computing in the context of 5G, CSP’s must examine several emerging technology areas. Our session at TM Forum’s Digital Transformation Asia in Kuala Lumpur will attempt to touch on this very important topic. Specifically, we will examine AI and blockchain in the context of edge computing given the emergence of 5G. Key areas we will be discussing include: GSMA Intelligence predicts telco providers will spend a combined $244 billion on networks for 5G roll out. Revenue realization, hence, is a critical aspect of 5G. Understanding the answers to the questions above will enable telcos to effectively monetize 5G by capitalizing on edge computing built on AI and blockchain.
