Digital Transformation Trends Driving Industry 4.0

Industry 4.0 was coined for the mixing of traditional manufacturing and industrial practices with the technological world. It is not surprise as technology; inventions are taking over the world alongside its pros and cons. It can also be noted that technology has made work a lot easier especially in the manufacturing industries. For manufacturers to stay afloat and important, they need to pay attending to the digital transformation on going in industry 4.0.

Industry 4.0 is also the stance that manufacturer must digitize using these technologies to remain in the future or risk becoming out dated. There are four major trends in the digital transformation that manufacturers and the rest of us alike should be paying close attention to. They are the driving force behind it all.

According to PWC, out of 2,000 manufacturers, 86% expect to see cost reductions and revenue gains from their digitization efforts over the next five years. If you’re not on it already, it’s time to jump on board.

Industry 4.0

is noted to be taking manufacturing by a storm as its focus is on automation and data exchange integrating many or all parts of manufacturing, including physical, cyber, IoT, cloud, and cognitive computing. It is a smart factory. In a research, the global smart market is predicted to be worth nearly $400 billion by 2025 and the automotive industry will be its biggest user, followed by aerospace and oil industries.

McKinsey experts have reported that a staggering 89% of companies in the U.S., Germany and Japan expect Industry 4.0 to increase their operational effectiveness, and 80% believe that it will even have an impact on their overall business model.

Creating opportunities with the IoT and IIoT

The manufacturing industry is also undeniably leading the way in industrial IoT (IIoT). Zebra Technologies states that, by 2022, 64% of manufacturers believe their factories will be fully connected with the latest IIoT technologies.  These technologies streamline and simplify many manufacturing processes in revolutionary ways. Beyond machine-to-machine, the IIoT allow employees contribute data to organisational compilations through both personal feedback and workflow-based analytics.

IOT-Internet of things

Smarter with machine learning and analytics

The manufacturing industry is also undeniably leading the way in industrial IoT (IIoT). Zebra Technologies states that, by 2022, 64% of manufacturers believe their factories will be fully connected with the latest IIoT technologies.  These technologies streamline and simplify many manufacturing processes in revolutionary ways. Beyond machine-to-machine, the IIoT allow employees contribute data to organisational compilations through both personal feedback and workflow-based analytics.

Analytics

Cloud, fog, edge – getting the architecture right

Industry 4.0, IoT (and IIoT), AI and analytics are paving the way for better-integrated workflows and smarter manufacturing. However, all of the technology innovations that are shaping this industry rely on two things: cloud computing and cloud connectivity. Volume, latency, mobility, reliability, security, privacy and network bandwidth are common networking challenges in today’s industrial plants. These challenges are fuelling the need for a more open architecture. Whether moving to cloud application platforms, open systems, or fog computing and lightweight edge solutions, the idea is to make industrial big data manageable.

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