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

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


  • Artificial Intelligence sector will become a $190 billion industry by the year 2025. (Source: Market & Market)
  • 40% 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% of the overall IoT spending in 2020. (Source: PwC)
  • IoT has the potential to generate $4T to $11T in economic value by 2025. (Source: McKinsey Global Institute)


And 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 will produce. And fast forward a couple of years into the future; here we are today witnessing the ever-increasing adoption of both AI and IoT in the industrial sphere, appropriately and shortly known as IIoT (Industrial Internet of Things). So, how IIoT differs from traditional industrial format? How AI will help to aggravate its performance more? Let us try to find out!


Industrial Evolution: The Age of IIoT & 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 the man 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 most industrial sector. 1721 was the year when it all started with the world’s first water-powered silk factory at Derby, England.

Well, fast forward to 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 was not so impactful in the late 19th century until the electrification of industrial machinery in the early years of 20th century powered the ideology out of England, 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 is now that the industrial processes – manufacturing and production – can be controlled fully remotely with a programmed logical controller.

And now, the arrival of Industry 4.0, which was initially started back in the 1990s with the coming of the telecommunication and the “World Wide Web,” an age in which we are currently experiencing the remarkable revolutionary breakthroughs in the industrial sector. One of the major highlights of Industry 4.0 has been the Internet due to which we have seen great breakthroughs, such as the 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 anymore. But what role does IIoT specifically play in the age of Industry 4.0? Let us take a brief look into that before we explore the remarkable relationship between IIoT and AI.


How IIoT Makes a Difference in the Industrial Sector?

IIoT, or the Industrial Internet of Things, is the sub-branch of the Internet of Things (IoT). The term IoT was first coined by Kevin Ashton in an official presentation given at Proctor & Gambles, UK, 1999. Although the idea of adding smart sensors to physical objects initially surfaced during the 1980s, a decade before Kevin Ashton era.

The ideology is simple in the industrial sector as well: making industrial machines smarter than humans at analyzing data in real-time and forming the basis of faster and better logical decisions. A smart connected machinery system of this capability ensures the management to pick errors or inefficiencies in the system, formulate better solutions and implement them faster to save critical time, money, and business prospectuses.

Making industrial processes smarter with IIoT also brings great environmental benefits to the table: better quality control, eco-friendliness, sustainability, and better industrial waste management. IIoT also helps in supply chain management, the entire process of raw material conversion into a product and it’s upkeeping from the point of origin to the point of consumption.

In the Industrial sector, predictive maintenance and analytics are not possible without proper IIoT infrastructure, as well as enhanced asset tracking and energy management for better power utilization. IIoT manages and controls all these processes with an integrated system of smart and intelligent devices ensuring perfect maintenance and management with less dependence on active human action.

That is why no industry can survive this massive digital transformation brought on by the advent of Industry 4.0 without using the crucial help provided by the Industrial Internet of Things. But how AI and IIoT combined makes the whole technology more worthy and noticeable for industrialists? Let us find out about this core aspect in the final chapter of our narrative on AI and IIoT. If you are interested to know more in-depth about what is Industrial Internet of Things, here’s a good read on this topic from TechTarget’s IoT Agenda.


AI & IIoT: How the Combination of These Two Technologies Takes Industrial Processes to The Next Level

Now, the focal point for which we all have been waiting for thus far: How AI dramatically enhances IIoT processes, and eventually takes your industrial processes to new heights of efficiency and sustainability? In the age of Industry 4.0, industries mostly rely on operational technology (OT) and their proficiency: manufacturing, supply chain, energy management, and human resource. These operational processes can now be enhanced and taken to a whole new level of precision by combining AI and IIoT forces. How it can be done? Let us find out!

In an industrial complex, what is the most massively generated thing? It is the data. Data is everywhere today and everything today also runs on data, be it industrial processes or a home that is managed by smart monitoring devices. While smart homes may not present many complexities with management, but the industry is a different ball game. To manage this massive amount of data generated in an industrial complex, and for better management of the entire IIoT ecosystem, industrialists currently lack the skillful human resource and reliable tools to make sense of, and utilize, the big industrial data productively. And that is where artificial intelligence will come to the rescue!

AI has the power to manage itself as well as its applications independently and intelligently. This means that the utilization and optimization potential, which can be missed by the lack of skillful human resources or tools, can be sufficiently overtaken by AI. This is exclusively beneficial for OT-based industries that are using tools or software to collect, process, and analyze data generated by the industrial machines that are managed and operated in an IIoT ecosystem. These types of industrial setups face critical issues of software-legacy, which in turn greatly hinders the interoperability factor.

By integrating AI algorithms in an IIoT infrastructure, the entire mechanical apparatus can be trained to, and automated, to manage and run itself smartly and intelligently. This touches base with the core element of data-based improvement and enhancement for industrial processes since AI is the king when it comes to data analytics, especially big data. The influx of data from an IIoT ecosystem of devices into AI-powered analytical models can significantly enhance the entire industrial procedure and not just the manufacturing department as is mostly spoken of.

Plus, combining AI with other enterprise sectors also has its own set of benefits. For example, if we look outside of the core industrial playground: Fundamental features of a city which deals with everyday life such as traffic management, smart homes, shopping complexes, parks & recreation, etc., are increasingly become mechanicalized, and artificial intelligence has a role to play here with Internet of Things (IoT) – power source of a smart city.


Final Words

So, in the age of Industry 4.0, the dependence and reliability in which the combination of AI and IIoT present is too good to ignore or overlooked. This is a transformational or evolutionary stage that is mandatory for the industrial sector to pass, and the survival is assured of only those who are the most befitting ones to adapt to this massive transformational change.

4 Common Areas for Supply Chain Improvement (News)

IoT-Busines-NewsIoT Business News is a 100% online media, focusing on the business side of the Internet of Things and Machine-to-Machine markets. This article below is originally published at IoT Business News, and its addresses crucial impact of data analytics on supply chain – in 4 major ways.

Supply chains are made up of so many interconnected moving parts that, even if the chain as a whole is functioning, there are always improvements available to make business outcomes a little better. Or a lot better. Here are four common areas for supply chain improvement organizations can achieve through data analytics.


  • Finding Better Ways to Manage Inventory
  • Identifying Recalls
  • Reducing Order-to-Cycle Delivery Times
  • Managing Risk


Global Big Data (Power Sector) Market Report 2019: Microsoft, IBM, Oracle & Others

Here’s the big report for all big data firms, working or are interested, in the power sector. The renowned business researching firm Market Research Explore has conducted this in-depth analysis of the global big data penetration, usage, and forecasts for the years between 2019 and 2024, in the Power Sector niche to be precise.

The Global Big Data (Power Sector) Market Analysis 2019 – 2024 will also cover the operations and interests by the major players in this sector such as Microsoft, Oracle Corp, IBM, Siemens, Teradata, and many others. This comprehensive research report will evaluate the current market size of Big Data in the Power Sector; historical overview, demand, market share, production, current sales, revenue, growth, and concrete future predictions and forecasts.

This market research report on Global Big Data 2019 will target the three main areas of big data usage in the Power Sector:

  • Wind Power
  • Smart Grids
  • Solar power

Therefore, it is a must-have market analysis for all those who are associated with big data and power sector industries, respectively. Get your free sample or buy your copy from the links below:


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How Smart Homes Take Over The World (Infographic) | Guest Blog of The Week

ana-bera-guest-authorThis insightful article is written by Ana Bera, Co-Founder of SafeatLast. Ana Bera is a seasoned digital marketing executive. She’s also a food addict and has traveled some of the most well-known metropolises around the world. Her current venture – SafeatLast – is a service which offers an insightful study of security technologies, specifically those powered by IoT. Have any questions or want to ask her opinion about a security system in your new smart home? Get in touch with Ana Bera!

Smart homes are the next big thing. You may not realize it yet, but somewhere your day will be easier because of it. Smart home technology is not only impacting the houses it’s installed into. Its reach stretches to other industries like business, science and even health care. Here is an infographic detailing the numbers and change caused by smart homes.


Disruptive Growth

The rapid rate of growth in the smart home industry has an effect on all kinds of industries. The easiest way to track this is to follow the money. In 2018 alone, the US has spent $19.827 billion on smart home technology. This may seem like a low amount compared to the total size of the American Gross Domestic Product. But, keep in mind that smart homes are all about connecting different types of technology. It uses the Internet of Things (IoT) to do this. It’s estimated that by 2020 IoT will generate revenue exceeding $300 billion. The influential power of that $19 million-odd (spent in 2018) suddenly looks very promising.

Home Automation

Smart homes have you in mind. Its very existence is to make your life easier and cheaper. Different products will have differing applications. You can be sure that any room in your house can be automated in some way through this technology.

Smart Kitchens

Smart ovens, smart refrigerators, smart microwaves, and the list goes on. You are now able to monitor and control certain functions in your kitchen from your smartphone. You aren’t alone in the kitchen anymore. Smart kitchens have your back!

Smart Climate Control

You can program your thermostat and air conditioning from an app. Schedule and control these devices through a wireless connection via the internet. Be your own weatherman and decide the climate of your house. Or save unnecessary costs by stopping these units from consuming gas and electricity beyond your budget.


Smart Security

Be the king of your castle as you track monitor and control vulnerable aspects of your home. Use home security systems like smart CCTV, smart locks, smart sensors, and alarms to enjoy absolute control over what is yours. 62% of Americans claim smart security as the top benefit of owning smart homes. Three out of every five Americans who own smart homes will use a smartphone to monitor their houses. Total control is now possible from the screen of your phone.


Taking the nation at large!

The world is becoming a smaller place, and smarter too. Smart homes have bridged many gaps to make life easier for their owners. America is leading the global charge with 7,5% of homes already adopting the technology. In 2022 that number is expected to hit 19,5%. Life as you know it is changing every day due to smart homes. The infographic below shows where it has come from and where it is going. Read on to see the change that lies in wait.


Key Smart Home Statistics To Remember

  • 57% of Americans say smart products save them 30-min per day
  • 45% of Americans save on average $1,179.60 per year with smart devices
  • 62%, or 3 out of 5 Americans claim that home security is the main benefit of smart products
  • 81% of buyers claim they would rather purchase a home with smart products already installed
  • Home security systems will account for over $100 Billion by 2020 in the security market
  • 57.7% of smart tech users are male and 42.3% are female


Mirai Botnet Attacks & Security Status of IoT in 2019

(This article is also featured at “IoT for All“)

Without a single shadow of a doubt, the reemergence of the notorious Mirai botnet in the IoT infrastructure presents some grave challenges for security developers as well as force us to reflect on the state of security of IoT in 2019.

While such unethical malware attacks are now widely regarded as the online version of real-life crimes, and the cybercriminals as the counterparts of their real-life partners, the scope and target of these types of attacks makes them either noticeable or unnoticeable.

In the case of Mirai botnet, the 2016-founded malware program has been continuously successful in grabbing the attention of the IoT world, and more lately, the enterprise IoT sector which altogether makes it a huge concern for IT firms. So, with such kind of recurring Mirai malware attacks in IoT infrastructure – even in 2019 – where does the state of security in IoT stand now?


Global Big Data (Power Sector) Market Report 2019

Global Big Data (Power Sector) Market Report 2019: Microsoft, IBM, Oracle & Others

This comprehensive research report will evaluate the current market size of Big Data in the Power Sector, including with major firms in this niche.

Before More, A Little Bit on Mirai & Its Turbulent Relationship with IoT

Mirai malware was written by three programmers: Paras Jha, Dalton Norman, and Josiah White. It was first discovered in 2016 by a malware research group called MalwareMustDie. In the same year, Mirai malware became a globally recognized threat when it accumulated one of the worst and most massive DDoS (denial-of-service) attacks in history; Mirai closed down a pivotal U.S. dynamic host service providing company which triggered a widespread internet outage in the USA and Europe.

Again in 2016, Mirai returned with an impactful attack on a renowned American security journalist Brian Krebs “Krebs on Security” blog site. It locked down the entire website for almost four days and costing the owners around $323, 000. Now, despite being arrested and sentenced by a U.S. Court, the authors did manage to make the source code public on a hacking forum online, and this actually triggered the creation of numerous Mirai botnet types since 2016. However, the thing which is worrisome about all those developed Mirai malware variants is this: their target was mostly consumer-level IoT devices, but recorded a serious shift towards enterprise IoT sector from 2017 and all the way into 2019.

So, the question might be lurking in the corridors of our reader’s mind: Why Mirai has mostly been targeting the IoT industry, let alone a shift towards enterprise IoT? And what an IoT service provider can possibly do to keep this online viral plague away from its IoT ecosystem? Well, to answer the first question, the growing adoption and rise of IoT technology make it an obvious target of such notorious online malware like Mirai.

The answer to the second question is not so straight forward, but simple to understand theoretically: Keep your IoT network, and every device on it, tightly encrypted with modern IoT-specific encryption techniques. This statement leads us to the second immediate concern of this narrative; what security standards are there in IoT technology in 2019 to combat severe malware and virus attacks online? Let shed a bit of light on this.


road traffic management with IoT technology - infographic

Road Traffic Management via IoT Technology (Infographic)

Nearly 1.35 million people die in road crashes each year, on average 3,287 deaths a day, says WHO. We can increase road safety by managing traffic with smart IoT solutions.

The State of IoT Security in 2019

Despite great advancements and breakthrough over the last decade or so, it is quite unfortunate (shameful) to admit that the problem of ideal security architecture and standards are still largely missing for the thriving IoT sector. According to the words of Joe Weiss, a consultant with Applied Control Solution and the Managing Director of ISA99:


“It’s 2019! How can we be in this place? We haven’t made much progress with security at all. We’ve made lots of progress monitoring the networks and almost nothing about what we were supposed to do in the first place.”


This statement cannot be termed as an exaggeration, and there are good reasons to say so. For instance, a sensor is one of the most widely used/deployed forms of IoT hardware. Many manufacturers globally are using cheap and low-capability processors for IoT hardware that are not capable enough to sustain additional load forced by latest encryption techniques; thus, resulting in a dangerous lack of security for an IoT ecosystem of devices. If we see this lack of concern for security in a multitude of billions and trillions of deployed IoT devices, we sure have a delicious meal ready for the hungry wild pack of viruses and malware online to strike.

The reason for this, according to Paul Bevan – Research Director of IT Infrastructure at Bloor Research – is the cost. He says that to keep the costs down and profits higher, companies that are creating small-scale IoT sensors are not using adequate hardware components and benchmarking to accommodate powerful security encryption requirements. Obviously, this has to be changed or else we will have a gigantic area of the internet, specifically the enterprise sector, which is completely open for bad players online to play their games at their own will.

Although, Transaction Processing Performance (TPC) has given a universal benchmarking standard for all kinds of IoT gateways evaluation, still the need for a succinct and truly overall undeniable pack of security standards for IoT network and devices is a must. If we take a close look at how Mirai malware successfully breaches the IoT device’ integrity, we can easily find out that we are lacking effective security protocols at the core levels.

For example, a Mirai malware works on the “command injection attack” format. A Command Injection Attack uses unsafe accessing credentials in various forms such as cookies, forms, HTTP protocol, and etc., to enter and manipulate an operating system’s “Shell” file. It then manipulates the entire OS central command directive and implements/executes attacker-supplied commends in the system. These kinds of attacks are only possible when there is an insufficient or incapable validation process existing in a system. In our case, this can be an IoT ecosystem or an IoT network.

So, if we do not build hardware/software powerful and capable enough to self-evaluate, validate, and implement complex encryptions for the command-level operating system, the data breach in the form of Mirai attack or any other else is inevitable. Considering the seriousness such a situation can create, and the current state of security in the rapidly growing IoT sector, it is about time that the “think tank” in the IoT world should sit down and join their heads to bring about an innovative and novel approach in order to combat any threats seeking to annihilate the growing IoT sector. Once we can be proud of our security standards in IoT, nothing can stop us from reaping the remarkable benefits this amazing technology has to offer, both to commercial and private users for good.


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

So, how IIoT differs from traditional industrial format? & how AI will help to aggravate its performance more? Let us try to find out in this in-depth insight.

4 Common Areas for Supply Chain Improvement (News)

Supply chain management is one of those areas that are most impacted by data & IoT analytics. Read 4 major areas of the supply chain that are most impacted.

Global Big Data (Power Sector) Market Report 2019: Microsoft, IBM, Oracle & Others

This comprehensive research report will evaluate the current market size of Big Data in the Power Sector, including with major firms in this niche.

How Smart Homes Take Over The World (Infographic) | Guest Blog of The Week

In our “Guest Blog of The Week” series for this week, we share Ana Bera’s – co-founder SafeatLast – insights on how smart homes are taking over the traditional abode.

Mirai Botnet Attacks & Security Status of IoT in 2019

Recent Mirai botnet attacks highlight challenges for IoT integrity, as well as forcing us to reflect on where IoT stands in terms of security in the year 2019.