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Artificial Intelligence and Data Analytics

The future belongs to businesses that leverage AI to optimize their systems, operations, and customer service.

AI and data analytics empower businesses and governments beyond measures to make predictions, prevent risks, save costs, optimize revenue, track and stop fraud, optimize decision-making, and improve services.

Book A Call
Home/Services/Artificial Intelligence & Data Analytics

Artificial Intelligence and Data Analytics

The future belongs to businesses that leverage AI to optimize their systems, operations, and customer service.

AI and data analytics empower businesses and governments beyond measures to make predictions, prevent risks, save costs, optimize revenue, track and stop fraud, optimize decision-making, and improve services.

Book A Call

Invest in Experience

Eurisko has more than a decade of experience in the development and implementation of AI and data analytics solutions In the MENA region

Grow and Expand with AI

Artificial intelligence (AI) and Data Analytics enable businesses and governments to capitalize on every emerging technology

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Automation

AI automates every aspect of the business from sales, accounting, management, marketing, customer service, etc.

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Optimized Decisions

AI allows businesses and governments to save time and money, by making informed decisions based on simulations and predictions.

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Conversational Marketing

AI helps businesses initiate and scale conversational marketing at scale, through powerful AI chatbots, and personalized campaigns.

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Smarter Infrastructure

AI and data analytics allow for the detection of flaws, the prediction of accidents, the optimization of systems, the creation of possibilities, etc.

Grow and Expand with AI

Artificial intelligence (AI) and Data Analytics enable businesses and governments to capitalize on every emerging technology

Automation.jpg

Automation

AI automates every aspect of the business from sales, accounting, management, marketing, customer service, etc.

Optimized-Decisions-1.jpg

Optimized Decisions

AI allows businesses and governments to save time and money, by making informed decisions based on simulations and predictions.

Conversational-Marketing.jpg

Conversational Marketing

AI helps businesses initiate and scale conversational marketing at scale, through powerful AI chatbots, and personalized campaigns.

Smarter-Infrastructure.jpg

Smarter Infrastructure

AI and data analytics allow for the detection of flaws, the prediction of accidents, the optimization of systems, the creation of possibilities, etc.

Industries

AI/ML and Data Analytics allow for a 360-degree transformation across all industries, and Eurisko makes it possible and tangible.

Gaming

Artificial intelligence (AI) enables the creation of immersive technologies, like virtual reality (VR) apps, and experiences; the implementation of augmented reality (AR) on all devices;   the development of smarter NPCs that react, and play on different levels which surprises the player and makes the game more exciting, and the formation of different gaming paths, giving the game a more engaging detour.
With AI, you can develop more adaptable games!

Media & News Publishing

AI and data analytics implementations in the digital media industry encompass all activities related to creation, distribution, and streaming.
Media companies and OTT platforms are capable of identifying the authenticity and the genre of the content, analyzing the user behaviors and tastes, optimizing the search algorithm, recommending hyper-personalized content and securing users’ data, etc.
With AI/ML, you can smartly deliver more personalized content!

E-Commerce & Retail

AI/ML empowers consumers with more personalized experiences through purchasing recommendations, voice assistants, AI chatbots, omnichannel shopping, etc., and businesses with more efficient operations through automation, customer journey tracking, data mining, targeted personalized campaigns, etc.
Businesses are able to cut costs and maximize profits systematically.
With AI, you can create better customer experiences!

IoT & Smart Cities

AI allows for the connection of systems, infrastructure, and IoT devices and the creation of smart cities, functioning at optimal capacity.
An AI-empowered IoT ecosystem analyzes and summarizes the data from a specific device before transferring it to other devices to enable:
Predictive maintenance, smart waste management, occupancy management, fraud detection, healthcare optimization, etc.
With AI/ML you can build smart cities and connected communities!

Fintech & Insurtech

AI and data analytics are transforming how modern consumers use money: cash, crypto, and e-wallets; make transactions: mobile wallets, peer-to-peer (P2P) payment, and mPOS; and perform financial activities: peer-to-peer (P2P) insurance, insurance management, account management, and personal financial management.
With AI, you can enhance consumers’ financial experiences!

Healthcare

AI and data analytics help hospitals, laboratories, and health organizations improve their healthcare in terms of speed, accuracy, predictions, time, and cost-saving.
Patients are also empowered with apps, portals, and wearables to monitor their health 24/7, be consistent with their medications, perform their well-being activities, and access medical support anywhere, anytime.
With AI, you can deliver better healthcare services at a lower cost!

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Key AI and Data Analytics Features

Eurisko works at international standards to provide businesses with top-quality digital solutions with the best features

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Machine Learning

We use regression, classification, clustering, and neural networks to train models on learning without direct instruction based on data and improve them based on experience to make better predictions and recommendations.

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Data Lakes

We create and manage data lakes to help businesses handle large volumes of raw data, as the foundation of AI and analytics, so they can increase revenue, improve recommendation systems, manage portfolio risks, etc.

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Data Warehouses

We create enterprise systems for analyzing and reporting structured and semi-structured data from multiple resources and departments, to help businesses reduce operational management, benefit from real-time data, and scale.

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Cross-industry Optimization Problems

We use various types of programming and optimization, such as linear and non-linear programming, integer programming, convex / combinatorial optimization, stochastic optimization, decision trees, and multi-objective optimization.

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Natural Language Processing

We leverage NLP to create powerful AI chatbots able to understand users’ intents, whether written or spoken and respond accordingly. Text-to-speech (TTS) can read a written text aloud, while Speech-to-text transforms a voice note into a text.

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Visual Dashboards

We empower team members with visibility over what’s happening, through advanced visual boards, detailed reporting, a user-friendly interface, and easy-to-use features to allow them to take action accordingly and in real-time.

FAQs

Artificial intelligence (AI) is the creation of intelligent machines that can perform tasks requiring human-like intelligence, such as recognizing speech, making decisions, and recognizing objects. AI works by using machine learning algorithms to analyze and interpret large amounts of data, and then using that analysis to make predictions or decisions.

There are three main types of machine learning algorithms:

  1. Supervised learning: This involves training an AI system on labeled data, where the correct answer is already known. The system learns to identify patterns in the data and make predictions based on those patterns.
  2. Unsupervised learning: This involves training an AI system on unlabeled data, where the correct answer is not known. The system learns to identify patterns in the data and group similar data points together.
  3. Reinforcement learning: This involves training an AI system through trial and error. The system receives feedback in the form of rewards or punishments based on its actions, and learns to optimize its behavior to maximize rewards.

Deep learning is a subfield of machine learning that involves training artificial neural networks with many layers, to identify and learn increasingly complex features of the data. Unlike other forms of machine learning, deep learning does not require the manual extraction of features from the data, but instead learns these features automatically as part of the training process. This makes it particularly well-suited to tasks such as image recognition, natural language processing, and speech recognition.

Data analytics is the process of using statistical and computational methods to extract insights and knowledge from data. In business, data analytics is used to analyze customer behavior, optimize business processes, identify trends and patterns, and make data-driven decisions that can improve business performance and profitability.

Big data refers to extremely large and complex data sets that are difficult to process using traditional data processing techniques. Big data is managed through the use of specialized software tools and platforms that can store, process, and analyze large volumes of data in a scalable and cost-effective manner. These tools and platforms often incorporate technologies such as distributed computing, parallel processing, and machine learning to handle the complexity and scale of big data.

Some of the most common challenges associated with implementing AI and data analytics in a business environment include:

  1. Data quality: Poor data quality can lead to inaccurate or unreliable insights and decisions.
  2. Data privacy and security: Handling large amounts of sensitive data can increase the risk of data breaches and privacy violations.
  3. Talent shortage: Finding and retaining skilled data scientists and AI professionals can be challenging.
  4. Integration with existing systems: Integrating AI and data analytics with existing systems and workflows can be complex and time-consuming.
  5. ROI measurement: Measuring the return on investment (ROI) of AI and data analytics projects can be difficult, as it may take time for the benefits to materialize.

Do you have a project that requires AI, machine learning or data science expertise?

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