There are 2 Companies in Tunisia
that provide Machine Learning Services!

Tunisia aims to position itself as a strategic hub in the Middle East and North Africa by becoming one of the top-performing countries in the region in terms of datacom infrastructure and IT business environment. 

In order to promote Tunisia as an attractive destination for outsourcing services and an anchor in the global digital movement, the government has lifted the ban made by the Telecommunications Regulatory National Agency (ANRT) over internet protocol (VoIP) services.

According to a report published by The Brooking Institution in October 2016, the VoIP ban resulted in US$320m of economic loss for Tunisia during the first half of 2016.

In terms of digital progress, Tunisia still struggles with disparities in access to computer technologies in crucial sectors. Even though 60% of Tunisians had access to the internet last year, the country’s 2019 network readiness index remains relatively low, ranking 78th out of 139.

Why you should work with Tunisian IT companies

Low prices and experienced professionals are the main reasons why Tunisia managed to attract direct foreign investments from international companies and organizations. Since the country has focused a lot on BPO services, it may be challenging for locals to establish their own IT and digital companies in a country with a poorly developed IT industry. 

What you should pay attention to when working with Tunisian IT companies

The local IT companies are mainly focusing on BPO, due to a poor-developed IT infrastructure. The only valuable resource remains skilled professionals, that over time earned valuable experience, and have increased the country’s performance in the field of digital services. 

How reliable are Tunisian IT companies

In terms of reliability, the Tunisian IT companies benefit from foreign companies’ reputations. 82% of all IT companies from Tunisia are multinational or international agencies and investors aiming to attract a low-cost and decent quality workforce. 

The main investors in the Tunisia IT industry are French tech companies, which are extending their network and influence in North-Africa and Mediterranean regions.

How does the Tunisian IT industry relate to the neighboring countries?

The close proximity to Spain, makes Tunisia look weak in front of new technology challenges and the poor-developed IT infrastructure, with banned services and risk to terrorism, gives no chance to the country to compete with Spain or Portugal in South-West Europe. 

On the other hand, Tunisia is probably the most developed country in North Africa and has the potential to achieve what it was aiming for in the first place - A strategic regional hub. However, Tunisia needs strong financial support from the international community and also transparency and democratic institutions to lead the necessary reforms for the country’s development overall, and particularly in the IT industry.

Machine Learning is a branch of artificial intelligence, that uses data and algorithms in order to imitate human intelligence. It's like teaching computers to learn from examples and once the computer learns, it can help with all sorts of tasks, like:

• Classifying data into different categories: spam or ham/  healthy or unhealthy etc.

• Predicting outcomes,  predicting future events, such as product demand, or financial risk.

• Recommending products or services to customers based on their past behavior or preferences.

• Optimizing processes, such as supply chain management or customer service.

Machine learning is part of many AI applications such as recommendation systems, spam filtering, image recognition, natural language processing, and fraud detection.

According to a recent report by Gartner, the global market for machine learning is expected to reach $119.5 billion by 2024. This growth is being driven by the increasing adoption of machine learning in a wide range of industries, including healthcare, finance, retail, and manufacturing.

Who provides machine learning services?

As we see, machine learning is a complex field and we know that a variety of professionals are involved. Here are a few of them:

• Machine learning engineers who develop and deploy machine learning algorithms.

• Data scientists who collect, clean, and analyze data for machine learning applications.

• AI consultants that help businesses adopt machine learning technologies.

We invite you to discover which are the best ML companies in 2023 on our blog and find the best ML service providers on Techbehemoths using the filter or submitting your project and we will help to choose your perfect match. There are more than 530 companies that provide machine learning solutions.

Also, we invite you to read how AI and Machine Learning are revolutionizing the written word and what is the role of machine learning in smart city life.