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The impact of AI on edge computing

CIO

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. The rise of edge computing Edge computing has emerged as a strategic paradigm shift in the world of data processing.

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Why 5G and edge computing are key to retail success on Microsoft Cloud

CIO

This is where edge computing and edge-native applications become relevant for retail stores. They allow computing to occur closer to the source of data–right inside the store. Coupled with a private 5G communication network, retailers can deploy cost-effective and high performing ‘edge-native’ applications.

Retail 245
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From edge to cloud: The critical role of hardware in AI applications

CIO

In this new blog series, we explore artificial intelligence and automation in technology and the key role it plays in the Broadcom portfolio. The world has woken up to the power of generative AI and a whole ecosystem of applications and tools are quickly coming to life. What I saw blew my mind away.

Hardware 245
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Balancing latency and sustainability

CIO

Many companies are simultaneously looking to implement compute-intensive technologies like AI, which can make their sustainability efforts even more challenging. However, many modern digital applications require extremely low latency. To do this, they must strategize for sustainability globally while designing and building locally.

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Machine learning model serving architectures

Xebia

In this blog we will discuss the most common serving architectures 1 ; batch predicting, on-demand synchronous serving and streaming serving. Other serving architectures include; edge serving, federated learning, and online learning. Those are more advanced serving architecture warranting a blog post of their own.

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How 3GPP Is Fostering Network Transformation for Edge Compute

CableLabs

Edge computing is expected to grow tremendously in the near term—between 40 and 70 percent by 2028. In the short term, cloud-native applications deployed closer to client devices will be used to solve edge use cases. Challenges in edge networking go beyond latency and jitter.

Network 89
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Telco 5G Returns Will Come from Enterprise Data Solutions

Cloudera

This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Many previously consumer-centric operators are developing propositions for “verticals”, often combining on-site or campus mobile networks with edge computing, while integrating deeper solutions for specific industries or horizontal applications.