Machine Learning

What is Machine Learning?

Machine Learning is a progressive technology that is transforming the world we live in. Companies who apply it late have a huge disadvantage among others.

Machine Learning encompasses a lot of AI techniques that empower applications, both web, and mobile, with great potential for self-learning and enhancement over the long run. This becomes possible by processing an enormous quantity of data, discovering trends and patterns that are not obvious to a human. As a result, companies are able to make the right decisions to achieve their goal.

ML allows computers to determine principles behind data changes without the need to pre-program them:

Analyze customer behavior and find patterns based on available data

Make forecasts using track records

Explore similitude and irregularities

Analyze customer behavior and find patterns based on available data

Make forecasts using track records

Explore similitude and irregularities

Stay on top of the competition by using Machine Learning apps

Widely used by many companies, it serves well to reduce expenses and significantly improve the level of consumers’ satisfaction. The powerful algorithms are applied in many industries such as healthcare, education, e-commerce, finance and IT.

According to experts, by the end of this year, artificial intelligence and machine learning together will fuel as much as $2.6 trillion in value in marketing & sales and up to $2 trillion in manufacturing & supply chain. Imagine its full potential when applied to other areas.

Machine Learning can be applied to any industry, helping your business to:

Boost sales

49% of customers are willing to purchase more frequently when Machine Learning is present.
Improve productivity

Machine Learning technologies are projected to increase labor productivity by up to 40% by 2035.
Analyze large amounts of data

ML gives apps the ability to learn and improve over time. It is extremely adept at processing large volumes of data quickly and identifying patterns and trends.
Improve consumer satisfaction

75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%.

Choose a Machine Learning solution depending on your business needs

Data Science &
Big Data

Find meaningful insights to improve your product or service

Computer
vision

Extracting data from digital images and videos for further processing, analyzing and understanding this data. It can be implemented in face recognition, object recognition, scene reconstruction, image reconstruction areas and many more

Natural language
processing

Build natural interactions with your users and identify patterns in unstructured data

Recommender
Systems

Create a personalized experience for every user thanks to an accurate recommendation system

Netflix saves around $1 billion on annual basis thanks to Machine Learning

Customized content to engage subscribers

Using multiple algorithms to analyze and compare subscribers’ similar preferences across all places of coverage, the recommendation engine allows Netflix to increase customer engagement and provide customized content to improve users’ loyalty towards the service.

Case

Food Ordering App For Restaurants Network

Ordering application made with delivery, geolocation, built-in customer behavior analytics and personalized suggestions. Made to up-sale.

Case

Dating app

A wonderful animation-heavy dating app we’ve developed from scratch using React Native and Python. It allows users to search, match and chat with others while keeping their Photos blurred before the match.

Case

Endurance Riding Timing Application

Horse riding sport events application that provides timing and statistics data of upcoming, live and past races held in UAE.

What is Machine Learning?

Stay on top of the competition by using Machine Learning apps

Boost sales

Improve productivity

Analyze large amounts of data

Improve consumer satisfaction

Choose a Machine Learning solution depending on your business needs

Data Science & Big Data

Computer vision

Natural language processing

Recommender Systems

Netflix saves around $1 billion on annual basis thanks to Machine Learning

Food Ordering App For Restaurants Network

Dating app

Endurance Riding Timing Application

Let's Talk

Data Science &
Big Data

Computer
vision

Natural language
processing

Recommender
Systems