Remove Architecture Remove IoT Remove Storage Remove Systems Review
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Review of Industrial IoT Solutions – Part I

Perficient

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Industrial IoT (IIoT) solution overview diagram. At the core of Industry 4.0

IoT 69
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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Data due diligence Generative AI especially has particular implications for data security, Mann says. Feed in your entire Slack or Teams history and you may end up with responses like, “I’ll work on that tomorrow,” which would be perfectly appropriate from human employees but aren’t what you expect from a gen AI system.

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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

They are playing out across industries with the help of edge computing, Internet of Things (IoT) devices and an innovative approach known as Business Outcomes-as-a-Service. [1] In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 317
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An Intelligent Future for Manufacturing

CIO

Going digital is not only necessary for economic development,” writes Liu Chao, CEO of Huawei’s Manufacturing Business Unit, “but it is also the key to building a modern economic system and shaping industrial competitiveness.” This is pushing digitalisation of R&D processes and innovation, driving investment in related fields.

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Finally leverage edge by adopting an as-a-service approach

CIO

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

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Finally leverage edge by adopting an as-a-service approach

CIO

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. An edge computing architecture can begin to help solve these problems. A lot of it.