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Top 10 Industry 4.0 Trends & Innovations: 2020 & Beyond

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The concept of the fourth industrial revolution was first introduced in Hannover earlier in this decade. This followed several decades of industrial automation, albeit at lower levels of functionality and complexity. Many developments have since shaped several industry 4.0 technologies that were previously under the purview of researchers. This is possible today, mainly due to innovations in technology, software, and hardware. Already, the increasing human-machine, machine-machine, and human-human connectivity influence production systems and processes across the world. Industry 4.0 trends and technologies are fundamental in achieving connected manufacturing geared towards smart and autonomous factories.


Discover the Top 10 Industry 4.0 Trends & Innovations in 2021

#artificialintelligence

The concept of the fourth industrial revolution was first introduced in Hannover earlier in this decade. This followed several decades of industrial automation, albeit at lower levels of functionality and complexity. Many developments have since shaped several industry 4.0 technologies that were previously under the purview of researchers. This is possible today, mainly due to innovations in technology, software, and hardware. Already, the increasing human-machine, machine-machine, and human-human connectivity influence production systems and processes across the world. Industry 4.0 trends and technologies are fundamental in achieving connected manufacturing geared towards smart and autonomous factories. For this in-depth research on the Top Industry 4.0 Trends & Startups, we analyzed a sample of 770 global startups and scaleups.


Top 12 Use Cases / Applications of AI in Manufacturing

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Manufacturers are frequently facing different challenges such as unexpected machinery failure or defective product delivery. Leveraging AI and machine learning, manufacturers can improve operational efficiency, launch new products, customize product designs and plan future financial actions to progress on their AI transformation. A recent MIT survey revealed that 60% of manufacturers are using AI to improve product quality, achieve greater speed and visibility across supply chain, and optimize inventory management. Implementing AI in manufacturing facilities is getting popular among manufacturers. According to Capgemini's research, more than half of the European manufacturers (51%) are implementing AI solutions, with Japan (30%) and the US (28%) following in second and third.


The role of Artificial Intelligence in manufacturing - Intelligent CIO Europe

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Artificial Intelligence improves business capabilities in various ways. Adnan Masood, PhD., Chief Architect – AI / ML at UST, explains how AI is utilised in the manufacturing industry and the benefits it brings to organisations such as transforming operations and reducing costs. What benefits does AI bring to manufacturing? As a collective and sometimes rather omniscient term, Artificial Intelligence (AI) includes the capabilities of learning systems that are perceived as intelligent by humans. AI and Machine Learning (ML) technologies have become top priorities in manufacturing since they allow firms to alter business models, invent operational paradigms to support those models, and monetise information to achieve higher levels of productivity.


How digital twins are driving the future of engineering

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Marshall McLuhan once famously observed, "First we build the tools, then they build us." Building on artificial intelligence (AI), the Internet of Things (IoT), and 5G communications, advanced software systems are remaking the nature and complexity of human engineering. In particular, digital twin technology can provide companies with improved insights to inform the decision making process. In this day and age, processes and machines are so complex that the risks of failure or disruption from experimenting with different approaches becomes too high or costly. To use an old analogy, it's tough to change the wheels on a moving train. And that can be frustrating when new designs might provide significant benefits to existing systems.