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IBM Edge Computing Report

By Rob High, IBM Fellow, Vice President & CTO, IBM Edge Computing

Executive Summary

From cars to manufacturing equipment to ATMs to mining equipment, intelligent devices are being infused into the very fabric of the tools we use to conduct business. Their compute capacity creates new opportunities to bring analytics to where data is first created and actions are taken. Innovations around edge computing can fuel improved quality, enhance performance, and drive deeper, more meaningful user interactions.
Edge computing can:

Edge computing can…

Solve new business problems with AI – Modern devices at the point of data capture have their own analytic capabilities. Move compute resources closer to where data originates and leverage AI to solve new business problems with less latency and reduced data transmission.

Increase capacity and resiliency – Moving compute and data analysis to edge devices increases the system’s overall analytics capacity. Edge devices can run container technology natively, maximizing the cloud-native programming skills of your company’s developers.

Gain better security and privacy protections –
By processing data closer to its source, less data is transmitted across networks, reducing the potential
attack surface and easing the ability to enforce enterprise policies at the source of data creation. Leverage 5G network’s reduced latency – With the adoption of 5G networks, business processes can take advantage of localized data analytics to feed automated decisions through centralized AI.

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June 2020

#LTW

June 2021

#LTW