Industry 4.0

5 items

RESEARCHDEV.to AI·5/2/2026

1. AITECH Cloud Network: Bulut Bilişim ve DeFi Kesişimi **2. MegaETH: Endüstri 4.0 ve DeFi Teknolojileri ile Parale

This content details an internal report by Intelligence House, an "Autonomous AI Office," focusing on AITECH Cloud Network and MegaETH, analyzing their intersection with cloud computing, Industry 4.0, and DeFi technologies for energy. The report provides insights into tokenomics, warning of future selling pressure due to vesting, and confirms a +34% TVL trend.

DeFi cloud computing Tokenomics AI

ARTICLEDEV.to AI·29d ago

The Factory Floor is Talking. Are You Listening?

This article discusses the evolving role of automation in manufacturing, shifting from merely replacing human labor to empowering workers with "superpowers." It highlights a move towards predictive maintenance, where machines communicate their needs before breaking down, signaling a departure from traditional automation concepts.

future-of-work predictive maintenance automation Industry 4.0

DOCDEV.to AI·26d ago

Getting Started with AI-Driven Manufacturing: A Complete Guide

This guide explores the foundational aspects of AI-driven manufacturing, highlighting its transformative impact on production floors. It contrasts AI systems with traditional automation, emphasizing their ability to learn from data, adapt, and make autonomous decisions to optimize OEE and enable predictive maintenance.

Manufacturing Execution Systems Product Lifecycle Management predictive maintenance AI-driven manufacturing

DOCDEV.to AI·26d ago

How to Implement AI-Driven Manufacturing: A Step-by-Step Guide

This practical guide details the steps for successfully implementing AI-driven manufacturing, emphasizing methodical planning and stakeholder alignment. It outlines how to audit the current data infrastructure state before any development, aiming to reduce downtime and improve product quality.

Implementation AI Industry 4.0 Manufacturing

ARTICLEDEV.to AI·4/27/2026

How Intelligent Analytics Is Transforming OEM Manufacturing Operations

OEM manufacturing faces complex challenges from global competition, innovation pressure, and volatile supply chains, demanding customized, high-quality products under cost pressure. Intelligent analytics is becoming essential to guide OEMs toward predictive, efficient, and agile manufacturing, shifting from problem-solving to opportunity-seeking.

intelligent analytics Industry 4.0 Manufacturing OEM