Edge Computing Benefits for AI Crystallizing

The prospect of performing AI at the edge is still mostly theoretical, but organizations are exploring potential edge computing benefits. -- ITPro Today

Guest Commentary, Guest Commentary

February 11, 2020

1 Min Read

Interest in edge computing continues to build, as does confusion surrounding the architecture. The situation is similar when it comes to artificial intelligence. The prospect of moving AI to the edge might sound like a recipe for even more confusion. 

Performing artificial intelligence at the edge is often “just theory quoted in articles,” said Martin Davis, managing partner at DUNELM Associates. 

Still, the concept of edge AI is increasingly hard for industrial and enterprise organizations to ignore. Resource-intensive operations such as deep learning and computer vision have traditionally taken place in centralized computing environments. But the growing availability of high-performance networking and computing hardware opens up the possibility to shift that activity a “centralized cloud architecture to the [edge],” as consultant Chaitan Sharma wrote.

Read the rest of Brian Buntz’ article on ITPro Today.

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Guest Commentary

Guest Commentary

The InformationWeek community brings together IT practitioners and industry experts with IT advice, education, and opinions. We strive to highlight technology executives and subject matter experts and use their knowledge and experiences to help our audience of IT professionals in a meaningful way. We publish Guest Commentaries from IT practitioners, industry analysts, technology evangelists, and researchers in the field. We are focusing on four main topics: cloud computing; DevOps; data and analytics; and IT leadership and career development. We aim to offer objective, practical advice to our audience on those topics from people who have deep experience in these topics and know the ropes. Guest Commentaries must be vendor neutral. We don't publish articles that promote the writer's company or product.

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