Open Source Software for Industry 4.0

| January 15, 2018

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The Internet of Things (IoT) represents a significant change and opportunity for the manufacturing industry. Technological advancements in connectivity and communication technology, real-time data analysis, and complex event processing have opened the possibility of integrating the traditional operational technology (OT) of a manufacturing plant with the enterprise information technology (IT) systems.

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Windows Embedded

Making the Internet of Things real Microsoft provides the technologies and expertise you need to capitalize on the Internet of Things by building a connected system to gather, store and analyze your organization’s data. From devices on the edge of your network, to back-end systems and services, the data that flows through your enterprise will drive a new level of business intelligence.

OTHER ARTICLES

The $6trn importance of security standards and regulation in the IoT era

Article | March 16, 2020

We live in an era of digital transformation where more and more devices are connecting to bring new and innovative levels of service and efficiency. This transformation spans across all markets and the rate of progress is breath-taking, says David Maidment, director, secure device ecosystem at Arm.This change brings huge benefits, but it also brings threats in the shape of an expanding cybercrime footprint. Every connected device is a hack potential. Rather than attacking traditional IT equipment, the cybercrime threats start to move to all aspects of our lives. It is predicted that by 2021 there will already be US$6 trillion (€5.37 trillion) of cybercrime damage (Source: Cybersecurity Ventures Official Annual Cybercrime Report), which is a staggering number pinned against financial loss for businesses, without considering the damage to reputation and other harder-to-measure statistics.

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How Will the Emergence of 5G Affect Federated Learning?

Article | April 10, 2020

As development teams race to build out AI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitly accessing raw user data. Conceived by Google in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Google’s “on-device machine learning” approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was either delivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.

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For your industrial IoT deployment: A four-step guide to selecting a wireless technology

Article | February 24, 2020

Most everyone agrees that wireless technology is a key pillar of the Internet of Things. Exactly which wireless technology is a different story. Opinions may vary from enterprises, to service providers or vendors, but one size does not fit all. The best wireless technology is the one that addresses the requirements for your industrial IoT use case. How could an OT manager make sure he or she will select the most appropriate technology for his/her use case(s)? To help with the decision process, here’s a step-by-step guide defining selection criteria for wireless technology.

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Driving Rapid and Continuous Value for IoT Through an Ecosystem Approach

Article | May 19, 2021

In the wake of the COVID-19 pandemic, manufacturing is roaring back to life, and with it comes a renewed focus on Digital Transformation initiatives. The industry stands on the doorstep of its much-anticipated renaissance, and it’s clear that manufacturing leaders need to not only embrace but accelerate innovation while managing critical processes like increasing capacity while maintaining product quality. Effective collaboration will be key to doing both well, but it’s even more critical as workforces have gone and are still largely remote. As the virus swept the globe, it became apparent quickly that there would be winners and losers. Many manufacturers were caught off-guard, so to speak. Before manufacturing’s aforementioned reckoning, the industry had already been notorious for its slow adoption of the digital, data-centric mindset that has transformed other industries.

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Spotlight

Windows Embedded

Making the Internet of Things real Microsoft provides the technologies and expertise you need to capitalize on the Internet of Things by building a connected system to gather, store and analyze your organization’s data. From devices on the edge of your network, to back-end systems and services, the data that flows through your enterprise will drive a new level of business intelligence.

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