High performance
lean computing

About us

Iris Technologies is a rapidly-growing lean computing company based in the UAE. We provide high performance computing services which require a data analytics approach.

We work at the cutting edge of technology to provide seamless and smooth delivery to the market. Our customers need fast and accurate solutions for e-commerce, customer relations and user satisfaction projects.

Our values are professionalism, high-performance algorithms, and eco-friendly computer concepts. We make our world more efficient.

about us
case ml
Case Machine Learning

Machine learning has proven useful because it can resolve problems at a rate and scale that cannot be reproduced by the human mind alone. Massive computational capacities make it possible to train a machine to identify patterns and relationships between input data and to automate routine processes.

Data Security: Machine learning models can identify data security vulnerabilities before they are breached. By reviewing experiences, machine learning models can predict future high-risk activities, so the risk can be proactively mitigated.

Finance: Banks, brokerages and fintech companies use machine learning algorithms to automate trading and to provide financial consulting services to investors. Bank of America uses the Erica Chatbot system to automate customer support.

Healthcare: Machine learning is used to analyze massive health datasets to speed up the discovery of treatments and remedies, improve patient outcomes, and automate routine processes to prevent human errors. For instance, IBM Watson uses data mining to provide clinicians with data they can use to personalize patient treatment.

Fraud detection: Artificial Intelligence is used in the financial and banking industry to autonomously analyze numerous transactions in order to detect fraudulent activities in real time. Technology services company Capgemini claims hat machine learning and analytical fraud detection systems reduce fraud investigation time by 70% and improve detection accuracy by 90%.

Retail: Artificial Intelligence researchers and developers use machine learning algorithms to develop Artificial Intelligence recommendation engines that provide relevant product suggestions based on the past choices of buyers, their historical data, geographical and demographic information.

We work at the cutting edge of technology to provide seamless and smooth delivery to the market. Our customers need fast and accurate solutions for e-commerce, customer relations and user satisfaction projects.

Case Hybrid Artificial Intelligence

Hybrid Artificial Intelligence is an approach for businesses that combines human insight with machine learning and in-depth learning networks. In spite of some challenges, experts believe it is promising.

Combined, Machine learning and symbolic Artificial Intelligence form hybrid Artificial Intelligence, an approach that helps Artificial Intelligence understand language rather than just data. Through a better understanding of what has been learned and why, this powerful approach is transforming how data is used across the enterprise.

Financial Investment Planning: In today’s 24/7 economy, customers are increasingly requiring tailored services in the palm of their hand. Artificial Intelligence enables smart customer engagement, where financial service providers can respond to these new demands by providing seamless, easy-to-access, low-cost, omni-channel financial services.

Foreign Exchange Trading: a hybrid artificial intelligent (AI) system integrating the neural network and expert system supports foreign exchange (forex) trading decisions. In this system, a neural network is used to forecast the forex price in terms of quantitative data while an expert system is used to manage the quality factor and to provide forex trading decision suggestions for traders integrating expert knowledge and the neural network results.

Data Mining from large/multiple databases: Artificial intelligence and data mining techniques have been used in many domains to solve classification, segmentation, association, diagnosis, and prediction problems. The general objective of this special issue is initiating a discussion among researchers who are actively working on algorithms and applications. The issue covers a wide range of issues related to computational intelligence, machine learning, time series analysis, remote sensing image mining and pattern recognition.

case ml
Data science

An increasing number of companies are recognizing the importance of data science, Artificial Intelligence and machine learning. Regardless of industry or size, organizations looking to remain competitive in the Big Data era must effectively develop and implement their data science capabilities. Otherwise, they will be left out of the picture.

Detecting emotions from Text: A human can express emotions in any form, such as face, gestures, speech and text. Detecting text emotions is a content-based classifications issue. Identifying people's emotions is a challenging task. But detecting emotions through a text written by a person is even more difficult, because a human can express his/her emotions in any form.

Hotel Recommendation System: We all plan trips, and the first step in planning a trip is to find a hotel. There are so many websites that recommend the best hotel for our travel. The purpose of the hotel recommendation system is to predict which hotel a user is most likely to choose from amongst all hotels. We can create such a system using customer feedback and reviews.

CPA: Customer Personality Analysis is an in-depth analysis of the ideal customer of a company. It gives a company a better understanding of its customers. It becomes easier for enterprises to adjust products based on the specific needs, behaviors and concerns of various types of customers.

Key Artificial
Intelligence deliverables
Tangible business outcomes start with Artificial Intelligence aspirations
Artificial Intelligence Strategy
Artificial Intelligence technology consulting
Artificial Intelligence development & engineering
How Iris Technologies Artificial Intelligence software development services to enhance your business impact

Our team can help you apply the most up-to-date Artificial Intelligence software development tools and methodologies to create applications that achieve practical business outcomes.

Our end-to-end Artificial Intelligence development services and solutions are based on our academic and industrial research experience with Avenga's R&D model.

In our work, we apply the most recent mathematical and statistical fundamentals and techniques, including machine learning, deep learning, natural language processing and neural networks. Thus, we can scale up your existing capacity or develop effective Artificial Intelligence software solutions for strategic business opportunities.