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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. Health insurance companies may find data capture by IoT-enabled wearables useful for detecting frauds and validating claims.

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The best job to have in the near future - data strategist

Jeffrey Phillips

Increasingly, however, we need to invite data into this mix. As more and more data is generated, it creates new opportunities in the strategy realm and in the innovation realm. This post will consider the importance of data in strategy development and execution, as well as in innovation.

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So Much Data, So Little Time. Until Now.

Daniel Burrus

In a way, the exponential growth of machine-to-machine communications with connected sensors, or what is called the Internet of Things (IoT), has become an example of too much of a good thing. Fortunately, a concept called Edge Computing can make sense of, and put to use, the wealth of data taken from IoT.

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Data Science: Infinity War

mjvinnovation

In the coming weeks, we will post a series of posts here on the blog, where we will explain the details of the transformations guided by the new Data Age – which still faces a lot of different organizations. The Data Revolution: Which side do you want to stay in? The Data Revolution: Which side do you want to stay in?

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Quantifying the Value of Digital Transformation in Manufacturing

is a real-time approach to decision-making, enabled by integrated and reliable data. is built on the industrial Internet of Things (IIoT), which enables manufacturers to collect, analyze, and present real-time data and analytics in easy-to-understand and highly customizable formats. Industry 4.0

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

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Data Gathers in a Cloud. It Takes off from the Edge

Daniel Burrus

In a way, the exponential growth of machine-to-machine communications and connected sensors, what we call Internet of Things (IoT), is rapidly becoming an example of too much of a good thing. Fortunately, edge computing can help make that wealth of data a good deal more usable.

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