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Edge Computing: a powerful enabler for industrial frontline workers

CIO

For industrial sector organizations, frontline workers play a crucial role in achieving productivity, efficiency, and safety targets. Traditional, centralized computing architectures cannot deliver the speed and reliability required for critical frontline tasks. Enhanced safety: Safety is a critical concern in the industrial sector.

Industry 246
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3 business benefits of stronger security using Zero Trust principles

CIO

As Industry 4.0 continues to roll out, the internet of things (IoT) is expanding, and manufacturing organizations are using the latest technologies to scale. Examples of these newly connected systems and assets include industrial control systems (ICS), remote terminal units (RTUs), and distributed control systems (DCS).

IoT 317
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What is enterprise architecture? A framework for transformation

CIO

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

The fourth industrial revolution or Industry 4.0 This article explores how Industry 4.0 Introduction to Industry 4.0 and Predictive Maintenance Understanding Industry 4.0 Industry 4.0, Introduction to Industry 4.0 and Predictive Maintenance Understanding Industry 4.0 Industry 4.0,

Mobile 130
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Review of Industrial IoT Solutions – Part I

Perficient

Edge computing and more generally the rise of Industry 4.0 At the core of Industry 4.0 The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Industrial IoT (IIoT) solution overview diagram. Both are IoT optimized transport protocols like HTTP.

IoT 69
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The AI continuum

CIO

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. There are generative AI assistants for coders, highly specialized AI for specific industries, and deep learning models for discrete tasks.

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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

Altexsoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms.