01.30.2023 Executive Data Bytes – Ushering in the new era of processing data

Executive Data Bytes

Tech analysis for the busy executive.

Welcome to another edition of Executive Data Bytes! This week, we are discussing the future of edge computing. 

What is edge computing?

Edge computing is about processing data closer to where it’s being generated, enabling processing at greater speeds and volumes, leading to greater action-led results in real time. Putting compute at the edge allows companies to improve how they manage and use physical assets and create new interactive, human experiences. Some examples of edge use cases include self-driving cars, autonomous robots, smart equipment data and automated retail.

(Source: www.accenture.com)

Focus piece: “What is edge computing? Everything you need to know”

Executive Summary

Edge computing has emerged as a viable and important architecture that supports distributed computing to deploy compute and storage resources closer to -- ideally in the same physical location as -- the data source. This TechTarget article explains everything you need to know about edge computing.

Key Takeaways

• Traditional enterprise computing involves moving data from a client endpoint to a data center, where it is stored and worked upon by an enterprise application. But as the number of devices connected to the internet grows, so does the volume of data being produced.
• IT architects have shifted focus from the central data center to the logical edge of the infrastructure, placing storage and computing resources near the point where the data is generated.
• Edge computing puts storage and servers where the data is, and processes the data locally. It is often shielded or hardened to protect it from extremes of temperature, moisture and other environmental conditions.
• In a survey of attitudes toward edge computing, only 27% of respondents have already implemented edge computing technologies, however 54% find the idea interesting.

Focus piece: “Enabling the era of intelligent edge”

Executive Summary

As the amount of data grows exponentially, there is a greater need for edge computing solutions to aid in real-time decision-making. This Protocol article explores predictions for the future of edge computing.

Key Takeaways

• 5G and the intelligent edge will enable fully autonomous vehicles, smart cities and health care, and will transform all types of industries. However, companies are struggling to find the right resources to move adoption forward.
• Gartner predicts that by 2025, 75% of enterprise-generated data will be created and processed at the edge, outside of traditional centralized data centers or the cloud.
• As edge innovations scale, collaboration will play a large role in the success of projects. Security will remain a key concern, so providers should seek platforms infused with silicon-level telemetry.
• Distributed computing will enable limitless potential by ensuring many everyday devices are connected, intelligent, and always moving to where it can provide the most value.

Focus piece: “The Future of Edge Computing”

Executive Summary

Many organizations would like to implement edge computing, but its future will be determined, at least in part, by the cost of its hardware and the development of appropriate software. This Dataversity article explains how, if a standardized form of edge computing software is developed for small and medium-sized manufacturing businesses, the use of edge computing will increase significantly. 

Key Takeaways

• Edge computing provides results more quickly than the cloud, and if the hardware becomes less costly, installation of new edge computing systems will slow.
• In the 2022 Market Guide for Edge Computing, Gartner predicts that the market for edge computing will be in a state of flux for another four to six years.
• The software problem for edge computing is entirely different. Each company has to create its own customized system, but standardized software will become a reality as patterns emerge.
• The differences between edge computing and the Internet of Things are fading rapidly, and soon there will be no significant distinction.

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