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Published on November 4th, 2019 | by Emergent Enterprise

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AI for IIoT: How Artificial Intelligence Will Take the Industrial Internet of Things to New Heights

Emergent Insight:
There’s no denying that artificial intelligence is the fuel of digital transformation in industries today. A post at iotforall.com explains how the combination of AI and IoT or IIoT are changing the way the world does business. As AI interprets the data that is provided by IoT sensors, processes and logistics and more become quicker, more accurate and more efficient. The mashup of AI and IoT is going to allow business to meet the needs of a more demanding world.

Original Article:
Illustration: © IoT For All

Among the technological breakthroughs of the last decade or so, few will reach the level of impact that AI and the Industrial Internet of Things combined will have on the industrial sector.

Before we delve deep into this subject, let’s hear what expert-level research has to say about both of these technologies:

  • The Artificial Intelligence sector will be a $190 billion industry by the year 2025. (Source: Market & Market)
  • 40 percent of the digital transformation initiatives in 2019 are powered by AI. (Source: IDC)
  • There will be more than 64 billion IoT devices by 2025, up from about 10 billion in 2018. (Source: Business Insider)
  • Business investment will account for more than 50 percent of the overall IoT spending in 2020. (Source: PwC)
  • IoT has the potential to generate $4 trillion to $11 trillion in economic value by 2025. (Source: McKinsey Global Institute)

We can keep on going with the many more remarkable statistics about AI and IoT, but these ones should be enough for now. The re-emergence of the decades-old technological ideas like Artificial Intelligence and the Internet of Things, at the right time and right place, has suddenly disrupted the traditional industrial norms – for the better this time. It has kickstarted a digital revolution that was only possible way back in the science fiction writings of H.G. Wells, Jules Verne, Arthur Conan Doyle, or other masterminds of Sci-Fis. It has ushered the classical Industrial Revolution of the 18th century into the Industry 4.0 of the 21st.

The early proponents and experts of both technologies were simply ecstatic about the outstanding transformational possibilities a union between AI and IoT could produce. Fast forward a couple of years into the future, and here we are today witnessing the ever-increasing adoption of both AI and IoT in the industrial sphere, appropriately known as IIoT (Industrial Internet of Things). So, how does IIoT differ from the traditional industrial format? How will AI increase its performance? Let’s try to find out!

Industrial Evolution: The Age of IIoT and the Previous Industrial Ages

We all know that the industrial revolution began back in the late 18th century in England. This age was known as Industry 1.0 when people saw mechanical manufacturing for the very first time in history. Those primitive manufacturing machines were mostly powered by steam and water, a revered technology at that time. In that early period of the industrialization of business, textiles were the leading industrial sector. 1721 was the year when it all started with the world’s first water-powered silk factory in Derby, England.

Fast forward two centuries ahead, and we entered an age where industrial machines go electrical – welcome to the age of Industry 2.0.  While this industrial age started in the late 19th century – around 1870 – it wasn’t as impactful in the late 19th century until the electrification of industrial machinery in the early years of the 20th century spread from England, the USA and Western Europe to other parts of the world.

The introduction of electricity in the industrial sector was really the main catalyst of Industry 2.0 which has directly led to the foundation of modern industries and operations. The remarkable efficiency and automation factor which electricity has brought into this arena dramatically enhanced the speed and demand of innovation, and, within 70 years of its inception, the world was ushered into yet another industrial age which was known as Industry 3.0.

Industry 3.0 was the age when electrical power was enhanced and augmented by the coming of Information Technology (IT). Industrial efficiency boomed in this era with micro-chips, such as integrated circuits and transistors, making industrial machinery smarter, reliable, more efficient and less-dependent (automated). One big innovation because of which Industry 3.0 thrived, and made possible the transformation to 4.0, is the creation of Programmable Logic Controller (PLC) in 1968. It’s now that the industrial processes of manufacturing and production can be controlled fully remotely with a programmed logical controller.

Industry 4.0 initially started back in the 1990s with early telecommunication technologies and the World Wide Web and is the age in which we’re currently experiencing remarkable revolutionary breakthroughs in the industrial sector. One of the major highlights of Industry 4.0 has been the Internet from which we’ve seen great breakthroughs, such as IIoT itself. And so, with the merging of real-world operations with the virtual ones, man and his industries are no longer restricted within physical or geographical boundaries. But, what role does IIoT specifically play in the age of Industry 4.0? Let’s take a brief look into that before we explore the remarkable relationship between IIoT and AI.

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Emergent Enterprise

The Emergent Enterprise (EE) website brings together current and important news in enterprise mobility and the latest in innovative technologies in the business world. The articles are hand selected by Emergent Enterprise and not the result of automated electronic aggregating. The site is designed to be a one-stop shop for anyone who has an ongoing interest in how technology is changing how the world does business and how it affects the workforce from the shop floor to the top floor. EE encourages visitor contributions and participation through comments, social media activity and ratings.



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