How To Differentiate Between IOT, AI and ML?

How To Differentiate Between IOT, AI and ML?

In this blog, we’ll be going through a simple explanation of what is Machine Learning, Artificial Intelligence, and Internet of Things. We’ll also put some light on how are these three disruptive technologies different and still inextricably connected with each other.

AI, ML and IoT are the buzzwords and are witnessing quite a rage in the market. There are innumerable debates. blogs and discussions available online, speaking about these three red-hot technologies. With this type of hype swirling all around, it’s easy to get confused about what exactly are these technologies and how can one differentiate between them. So, let’s throw some light on each one of them to understand their core value.

All About Artificial Intelligence (AI)

The ability of any machine to imitate human behavior in an agile or intelligent way is referred to as Artificial Intelligence. It’s often classified into two types: Applied AI & General AI.

Applied AI is more human-like and expected to have the characteristics similar to that of humans. It can be understood as the smart and intuitive system that addresses specific needs or demands. On the contrary, General AI exhibits some strong and powerful aspects of human intelligence, which makes it competent to perform humanly tasks.

General AI enables a machine with approximately the same features of human intellect and sometimes even better. These incredible machines can sense and think like humans. This technology can perform tasks such as recognizing objects, planning, problem-solving and interpreting a language. However, there are certain technologies that can do certain tasks even better than us. Such technologies come under the Applied AI. Some of the applied artificial intelligence solutions are face recognition feature employed by Facebook, classification of images on Pinterest and many more.

Common Myth: AI is understood to be a system, but in reality, it’s implemented to a system.

All About Machine Learning

Machine Learning can be understood as the subset of Artificial Intelligence. It’s the technology behind the capabilities of AI in carrying out the most famous tasks such as natural language processing (NLP), image identification and many more.

This technology is the practice of using unique algorithms to resolve and sort data. Its task is not limited to just parsing the data, ML is further about learning the type of data while sorting it, and then come up with a prediction/suggestion about whatever the data was about. Isn’t it fun to know this?

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So, to avoid hectic/lengthy processes and human efforts, a machine is trained with a large amount of data and complicated algorithms (that renders it the potential to perform tasks) to serve us with the desired solution. For example, if there exist millions of images of only humans along with images of humans with cars. Then the algorithm of ML all by itself will attempt to build a model, which will put separate tags to each type of picture, differentiating the pictures consisting a dog in it from others.

Bonus Knowledge:

If you’re thinking what’s Deep Learning. Here’s your answer.

Deep Learning is a technology to deal with Big Data. It’s driven by the structure of the human brain and therefore follows a similar approach to that of neuron in the brain to process data. It employs artificial neural networks to analyze, sort or process data.

All About Internet Of Things (IoT)

In simple language, the concept of IoT deals with connecting any device with an off and on switch on the Web (they can be interrelated too).

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These devices that are referred here can consist of everything from mobile phones, coffee makers, automatic washers, headphones, lamps, wearable apparatus and anything else you may consider. The IoT is really a huge network connecting "objects" (which may also involve humans). This connection will probably be between human-human, human-objects, along with object-object.

IoT opens gates to some virtually infinite connections and chances to occur. Lots of these opportunities are so vague and complex that we might not understand their effect today. It's not tough to see exactly how and why the IoT is such a hot topic now; it certainly opens the door to plenty of opportunities but also to many struggles.

With such opportunities on the plate, there are numerous challenges to face too, however, IoT can be made self-capable of dealing with these challenges with some mindfulness.


I hope you are all clear with what exactly each of these technologies is and what each one of them deals in. In this disruptive digital age, there is a need to focus on custom software services that pander to one or more such technologies. Artificial Intelligence is evolving at an incredibly fast rate. That’s the reason AI Software Development is gaining the pace on a global scale. Moreover, there are several web development companies which are making custom software services in these technologies as their niche.