How often have you heard of artificial intelligence lately? Whatever is going on in the world, it’s inevitable nowadays for us to live hand-in-hand with artificial intelligence.

Your ability to learn from your surroundings and past experiences is often referred to as intelligence. Based on that, artificial intelligence is defined as the theory and development of computer systems to be able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Meaning that a computer system can be called intelligent it has the ability to reason, discover meaning, generalize, or learn from past experiences.

It may seem like AI wouldn’t affect or reach you, but the truth is that it is all around us and growing contributing to our daily lives.

A large part of your modernized life is artificial-intelligent-dependent somehow, from your smartphone’s voice assistant to even the music streaming & transportation apps you use. Most of the companies that are now global and multinational, apply AI in one way or another.

This industry guide is here to serve as your quick and simple elaborator to the world’s everlasting technology trend.

What is AI?

As mentioned earlier, Artificial Intelligence is any machine’s ability to learn from input, past experiences, and analysis.

AI depends mainly on data as it takes a large sum of data to not just teach a machine something, but to educate it this thing so well that it starts making
predictions and conclusions about of its own; as the machine be able to think based on these data.

Believe it or not, but AI has been in development since the ’50s of the last century, and still developing every single day!

AI branches into two types: Narrow AI and General AI

In a  nutshell, Narrow AI is all the AI technologies we’ve reached so far. From voice detection to sentiment analysis, responding to questions and carrying on semi-human conversations, to being able to carry out tasks that require organization or detection. Basically, Narrow AI is a machine being able to carry out the tasks you programmed and prepared it to do smoothly, one task a time.

On the other hand General AI is hugely different, as General AI is what we haven’t been able to reach with machines yet, and it’s probable that we never be able to do. But it’s essentially when the machines are able to perform intellectual tasks that a human being can; after providing them with relevant data and learning from past experiences (hence the term: Machine Learning).

It’s estimated that in case General AI ever sees the light, it won’t be before several years from now. And Since General AI has not seen the light yet, any AI you see or hear of so far is Narrow AI.

There’s a lot of knowledge lies between a science as big as Artificial Intelligence, but it mainly can be categorized to 6 main subfields according to IntelliPaat. So here are some of them:


1- Machine Learning: Machine learning is basically a machine’s ability to learn from the examples and experiences it understands from the data it receives.

From Machine Learning Deep Learning branches out, which basically focuses on analyzing more layers and layers of patterns of data as in the neural networks of an actual human brain.

2- Cognitive Computing:  Cognitive computing focuses on imitating the thinking patterns, process, and methods that occur in the human brain within a computer.

3- Computer Vision: Computer Vision is a machine’s ability to see, recognize, understand, and process images.

4- Natural Language Processing (NLP): Natural Language Processing is a machine’s ability to process a specific language like a human can do.

Now that we’ve given an overall brief about AI, do you think it can benefit an Arabian business? The answer is: Definitely yes! And with a twist, it can do so much more than that.

Our twist on AI: Arabic


Arabic is the fifth most spoken language in the world with over 300 million global speakers increasing every minute, and one of the six official languages of the United Nations (UN). Through Arabic, you can guarantee reaching almost everyone in the Arab world and even millions in other countries.

But Arabic comes with challenges…

Arabic is a language that is so rich in vocabulary, which can make it difficult for several people to deal with, how about machines? And here lies the first challenge. Another thing that makes it really hard for people to use Arabic is the fact that it’s also rich in different slangs.

A word can mean a very normal thing in the Egyptian slang, for example, but be extremely offensive to someone in another slang as the Syrian one.

Another challenge that faces Arabic is its multi grammatical rules and structure of the sentences, that give other various possibilities to creating different meanings from.

Arabic + AI = 📈

When it comes to AI in Arabic, that’s a whole new level! Because as mentioned earlier most of AI fields need submitting massive amounts of data that machines can learn from. And as Arabic has a lot of slangs, that brings us to real challenge as it’s already difficult for a machine to learn one slang with one meaning of a language, how about learning multiple slangs with different meanings for the same language?

Gathering & training a machine with this kind of data is very difficult, but once you’ve done, you’ll have basically won everyone who speaks Arabic as your loyal customer. Because if you’re a business dealing with a lot of Arabic speakers, using AI technologies in Arabic helps you reaching your customers better, acquiring them faster, and leveraging your relationship with them as they feel understood.

Talking to someone in their native language (and slang) is always a plus as it puts you automatically on the top of their list, because at the end of the day, all types of customers just want to be understood faster and addressed more appropriately. Your customers will feel connected to your brand.

Wrapping up, AI technologies (in general) can improve your customer relationship and sales. Add the native language factor to the equation, and you just won your customers’ relationship game!

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