由於邊緣的定標:邊緣運算的資料處理的強化手法

Scaling at the Edge: How Edge Computing is Augmenting Data Processing

出版日期: 2022年12月29日 | 出版商:

GlobalData | 英文 | 商品交期: 最快1-2個工作天內

價格

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簡介目錄

本報告提供各種產業部門的企業的邊緣運算技術的實行相關的革新，使用案例，主要課題等彙整資訊。

Edge computing is an emerging computing architecture that processes data close to the source with an aim to resolve latency issues for critical applications across sectors. It minimizes the processing and transmission strain on cloud computing centers by reducing the time it takes for users to input data and moving computing capacity to the network's edge. This can transform various business processes, notably for data-intensive services. The report highlights various innovations with contemporary use cases across the edge computing value chain.

Innovations: presents real-world innovation use cases and examples related to the implementation of edge computing technology by companies across sectors. It casts light on how tech-enabled innovations are developing use cases that are transforming every segment of the sector value chain.

Scope

Innovation Insights: innovation examples by each use cases segment of various sectors to present key trends.

Reasons to Buy

No surprise that technology has been a driving force in business transformation for years, but the term 'emerging technologies' has all of the sudden become the key catalyst to drive the next wave of innovation across sectors.
The sense of urgency weighs differently across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors. Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformation.
Against this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challenges.
The innovation landscape report on edge computing, published by GlobalData as part of an ongoing series, covers some real-world examples to advance the development and implementation of the technology across some major sectors.