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Applications and innovations in the Internet of Things (IoT)

hackerearth

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. The greatest benefit of IIoT is predictive maintenance i.e. it enables IIoT systems to gather real-time data, analyze it, and derive predictions on when machinery is likely to fail.

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Smart and connected devices change everything

Jeffrey Phillips

The headline suggests that I think we should forget IoT, the ubiquitous internet of things. This is when we enter the era of Really Big Data (RBD). People today talk about Big data - data lakes, data estates and so on. This of course changes the entire business model. Forget IoT?

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The future interplays between design thinking, technology and AI

Paul Hobcraft

Firstly, we have the interconnected global marketplace as our context The change toward an interconnected and conscious global marketplace has been of significant importance, reshaping business strategies, consumer expectations, and societal values. Moving to the edge : Organizations are becoming more agile by adopting an “edge” approach.

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Data And Technology Don’t Change Your Culture, They Reveal it

Digital Tonto

Related posts: If Big Data Is To Live Up To Its. [[ This is a content summary only. We shouldn’t be so quick to blame algorithms. When we don’t like what we see, it is possible that we are looking at the culture we have created. Visit my website for full links, other content, and more! ]].

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. The need for workers with AI knowledge and the ability to work with robotics and other data-driven automation tech is rising as smart manufacturing becomes the norm.

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. The need for workers with AI knowledge and the ability to work with robotics and other data-driven automation tech is rising as smart manufacturing becomes the norm.

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Industry 4.0: How to guide organizational change

mjvinnovation

Four major forces push the “fourth industrial revolution,” according to several experts: Surprising growth in data volume (Big Data); Emergence of tools, resources and methods for data analysis; The innovative possibilities of human-machine interaction; And the enhancements of the transfer of digital instructions to the physical world.