Artificial Intelligence Development

Artificial Intelligence Development

Let`s build AI-powered solutions to reinvent your business development path.

Let`s build AI-powered solutions to reinvent your business development path.

$305.90 bn

The market size in the Artificial Intelligence market is projected to reach $305.90bn in 2024.

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15.83%

The market size is expected to show an annual growth rate (CAGR 2024-2030) of 15.83%, resulting in a market volume of $738.80bn by 2030.

money in hand

$106.50 bn

In global comparison, the largest market size will be in the United States ($106.50bn in 2024).

Artificial intelligence is

the ability of machines and programs to analyze received information, draw conclusions, and make decisions based on them. The main characteristic is the possibility to learn, accumulate knowledge and apply it. The availability of big data opens opportunities for AI deep learning and its implementation in any field, making the automation of many processes and increasing efficiency.

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Business value

Optimize resources and reduce costs

AI can help you optimize routine human labor, thereby saving your business money and reducing the likelihood of human error and mechanical human error. In this case, autonomous artificial intelligence, i.e., the one that manages operations on its own, will be ideal. This will allow your business to keep its focus on things like innovation and development.

Better understanding of your customer

By analyzing large amounts of data, AI can identify patterns and trends that help you understand your customers’ behaviors, desires, and concerns. The statistics collected by AI will help you analyze your user segments and create personalized advertising campaigns and recommendations for them.

Make faster decisions

For business owners, the introduction of AI has another big advantage, such as accurate and consistent decisions. AI mechanisms have access to historical data and can make predictions based on it, allowing you to formulate business strategies and minimize the error in them.

Interact with customers 24/7

AI allows you to stay in touch with your customers around the clock and respond to their queries and concerns in real time, while mimicking human speech. This will help you build more customer loyalty and maintain their trust and commitment to your business.

Analysis of income and expenses

With AI, you can easily analyze various inputs from customers, suppliers, and employees to make cost and revenue forecasts based on them. By analyzing your company’s history, AI will be able to predict what will happen in the future based on your company’s history, while taking into account all the changes that have occurred or may occur in the future. This way, you can make informed decisions to run your business successfully.

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Artificial Intelligence & Business Solutions

Industries

Food Tech

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Logistics and
Transportation

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Healthcare

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Manufacturing

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Information
Technology

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AI Applications

Automania

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Data Analysis & Insights

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Predictive Analytics

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Personali-zation

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NLP

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Image & Video Analysis

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Risk Assessment

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Optimization Management

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Decision Support Systems

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Process Improvement

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Customer Service

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Quality Control

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Research & Development

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Marketing & Advertising

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Legal Business icon

Legal Business

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Travel

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Real Estate

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Fashion

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Hospitality

Healthcare

The impact that tech behemoths like Microsoft, Google, Apple, and IBM have had in the healthcare space is enormous for the sector. AI is currently used in many different aspects of healthcare, such as data mining to find patterns and perform extremely precise diagnosis and treatment of medical conditions. Furthermore, it finds application in drug discovery, robotic surgery, medication administration, and medical imaging.

In a similar vein, NuMedii, a biopharma company, created the Artificial Intelligence for Drug Discovery (AIDD) platform, which uses big data and AI to identify drug-disease relationships at the systems level.
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Retail and e-commerce

The most obvious and observable industries for the application of AI are retail and e-commerce, which makes its effects tangible for most end users. Due to intense competition in the market, retailers are constantly searching for methods to identify trends in customer behavior. This allows them to better match their business strategy to the needs of their customers and outmaneuver rivals.

These businesses now have the ability to successfully meet and surpass the changing needs and expectations of their customers thanks in large part to AI. Your Amazon account’s product recommendations are nothing more than sophisticated artificial intelligence algorithms used to predict the things you will most likely purchase.
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FinTech

The introduction of AI applications has caused a significant transformation in the banking and financial services sector. There are many AI use cases in this field. Intelligent software robots are replacing human agents in many scenarios so that loan applications can be processed in milliseconds instead of seconds. In a similar vein, robo-financial advisors can quickly sort through several tiers of data and suggest the best investments for their clients.

In the insurance industry, AI-powered chatbots are also being used to enhance customer service and generate insurance products and plans using client data. AI-based software has also greatly shortened the time it takes to process claims, which benefits both customers and insurance companies.
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Education

With so many beneficial use cases, artificial intelligence (AI) in education has completely changed the way we learn. Among these applications are:
  • AI-powered personalized learning can improve student engagement and learning outcomes by tailoring instructional materials and adaptive learning pathways to the specific needs of each student.
  • Intelligent tutoring: AI-driven tutoring programs can offer students individualized advice, comments, and support, improving their educational experience./li>
  • Automated grading: AI systems have the ability to grade assignments, tests, and quizzes automatically, saving teachers time and giving students rapid feedback.
  • Learning analytics: AI can examine data on student performance to find trends, patterns, and areas for development. This allows for the development of data-driven interventions and individualized support.
  • Virtual assistants: AI-driven virtual assistants can improve the learning environment by responding to questions from students, offering resources for education, and helping with administrative duties.
 
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Manufacturing

Artificial Intelligence (AI) is used in manufacturing across multiple lines and layers of operations, from product design to workforce planning, to improve productivity, quality, and worker safety. Artificial neural networks and machine learning are used in factories to help with predictive maintenance of important industrial machinery that can reliably forecast asset failure. It facilitates prompt action by management to repair the equipment and avoid expensive unscheduled downtime.

An essential component of production is the robot. Most industrial robots are frequently motionless, but they run the risk of colliding with nearby objects. The concept of collaborative robots, or “cobots,” that can follow human instructions and work effectively alongside them, has been heralded by the application of AI in robotics.
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Entertainment and gaming

AI gives the entertainment industry intelligent capabilities to power everything from video games that improve player experience and visuals to OTT platforms that recommend personalized shows to viewers. Artificial intelligence (AI) is used in the film industry to improve digital effects and carry out a variety of other tasks that reduce costs and expedite the pre- and post-production processes. For instance, movie scripts can be written using Natural Language Processing (NLP).

One of the first sectors to use AI was the gaming industry, and it has had a significant impact on user experience. This indicates that AI is used in the gaming industry to control the actions and behaviors of NPCs, or non-player characters, who help to advance the story of the game in a preset direction. Such characters’ AI-driven behavior modeling substantially improves the player’s experience with the plot as a whole.
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Fashion

AI is having a significant impact on the fashion industry, influencing different parts of the value chain. Trend analysis and forecasting is one important area. Through the analysis of massive volumes of data from social media, fashion blogs, and online platforms, AI algorithms can identify emerging trends, consumer preferences, and fashion influencers.

Recommendation engines driven by AI can examine client information, such as browsing habits, past purchases, and preferred styles, to offer tailored product recommendations. This boosts sales and customer loyalty while improving the customer experience. Artificial Intelligence (AI) can precisely predict demand by utilizing machine learning algorithms to analyze past sales data, market trends, and external factors such as weather patterns. This lowers costs and minimizes waste by optimizing inventory management, production scheduling, and logistics for fashion brands and retailers.

Artificial intelligence (AI) algorithms can automatically classify, tag, and catalog products by analyzing images and recognizing particular patterns, colors, or designs. This facilitates inventory control and enhances e-commerce platform searchability. By comparing photos and spotting differences, AI can also help with the detection of fake goods.
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Logistic and Delivery

AI-powered solutions have also greatly benefited the logistics and transportation sector. Supply chain management has already been changed by the application of machine learning, becoming a seamless procedure. Robots driven by AI are widely used in warehouses to package and sort goods. Additionally, the use of AI algorithms to support last-mile delivery and determine the fastest shipment route is growing.

Undoubtedly, self-driving cars will be the next big thing in the transportation sector. Artificial intelligence (AI)-based self-driving cars have the potential to replace human drivers and improve road safety, even though they are still in the research and testing stages in many countries.
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Healthcare

With the use of Natural Language Processing, the system can segment long medical records, reducing them to the most important points. Together with the use of NLP, a simplified electronic health record (EHR) interface was created that automates the search for information about patients’ doctor appointments. Using NLP, analysts have gained access to vastHealthcare icon amounts of patient data information to classify them by phenotypes and groups.

Economy and commercial industries

It doesn’t matter in which specific branch of the economy you work, NLP will help to improve your service because thanks to it you will be able to automate the mechanisms of proposals or recommendations,Economy and commercial industries icon set up machine translation and sentiment analysis, and much more.

Business

Any business requires always promptness, so the Amazinum team has a brilliant solution for you – NLP. You will be able to easily extract key information from unstructured documents Business iconthat usually come in scanned form and much more.

Legal Field

If you are the owner of a legal business, the Amazinum team knows how to make it even more successful and customer-oriented. For this, you need to trust us and the potential of NLP. You will automate the processing of legal documents. NLP gets contractLegal Field icon names, key names, and required data, and can even make the document anonymous.

Finance

In the field of finance, it is important to be accurate and on time, so NLP is exactly what will provide you with these functions. Increase data with the help of a virtual assistant or chatbot, which helps to save financial resources and increase comfort, structure appeals and complaints to theFintech icon right department, and timely and qualitatively answer basic questions.

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Companies that already use Data Analysis

Cortexica

Cortexica specializes in image recognition technology, using AI to develop solutions for visual search, brand detection, and augmented reality applications.

Salesforce

To predict sales, estimate revenue, and assist companies in making decisions, Salesforce integrates time series forecasting into its CRM platform.

Insilico Medicine

Insilico Medicine applies AI to drug discovery and development. They use machine learning to analyze biological data and identify potential drug candidates more efficiently.

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Sentient Technologies

Sentient Technologies focuses on AI-driven solutions, particularly in e-commerce. Their platform uses AI for product recommendation, personalization, and optimization of online shopping experiences.

DataRobot

DataRobot offers an automated machine learning platform that enables organizations to build and deploy machine learning models. They cater to businesses looking to integrate AI without extensive expertise.

UiPath

UiPath specializes in robotic process automation (RPA) using AI-driven software robots. Their platform automates repetitive tasks in business processes, enhancing efficiency.

Ayasdi

Ayasdi focuses on AI applications for enterprises, particularly in the fields of finance, healthcare, and energy. They provide solutions for data analysis, anomaly detection, and pattern recognition.

Cogniac Corporation

Cogniac specializes in computer vision solutions using AI. Their platform is designed for industries such as manufacturing, healthcare, and logistics to automate visual inspection tasks.

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Zebra Medical Vision

Zebra Medical Vision applies AI to medical imaging, providing diagnostic insights for radiologists. Their algorithms can detect various medical conditions from X-rays, CT scans, and MRIs.

Darktrace

Darktrace is a cybersecurity company that uses AI to detect and respond to cyber threats in real-time. Their technology employs machine learning to understand and adapt to evolving security risks.

Peltarion

Peltarion offers a platform for building and deploying AI models. It aims to make AI more accessible to businesses by providing a user-friendly interface for model development and deployment.

Walmart

Walmart employs data analysis for customer insights, supply chain optimization, and inventory management. The business uses data to increase the effectiveness of its operations.

NASA

NASA uses data analysis for satellite missions, climate research, and space exploration. Interpreting the enormous amounts of data gathered from space missions requires data analysis.

PayPal

PayPal uses data analysis to track transactions, identify fraud, and examine consumer behavior. The business uses data to make sure that financial transactions are safe and easy.

General Electric (GE)

GE uses data analysis for energy management, manufacturing process optimization, and predictive maintenance of industrial equipment. Data is used by the business to improve the performance of its wide range of products.

Adobe

Adobe tracks user engagement, optimizes products, and uses data analysis for marketing analytics. Businesses frequently use Adobe Analytics to examine consumer behavior and the efficacy of digital marketing.

Coca-Cola

Coca-Cola uses data analysis to forecast demand, optimize its supply chain, and improve the efficacy of its marketing campaigns. To inform its product strategies, the company examines market trends and consumer preferences.

Fitbit

Fitbit is a company in the fitness tracking sector that tracks activity and health and uses data analysis to provide user behavior insights, personalized recommendations, and health information. Data is used to create customized exercise regimens.

HubSpot

HubSpot uses data analysis to score leads, automate marketing campaigns, and manage customer relationships. The platform aids companies in the analysis and improvement of their marketing initiatives.

Ford

Ford uses data analysis for predictive maintenance, vehicle diagnostics, and performance enhancement. Data is being used by the automotive industry more and more to increase vehicle efficiency and safety.

Our Industry Focus

Our industry knowledge and background give our clients and partners confidence that we understand their business. Here we highlighted a few top industries we are good at, penetrating to the smallest details and nuances of a certain branch.

SEO & Advertising icon

SEO & Marketing

Healthcare icon

Healthcare

Safety & Security

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Sport

E-commerce & Retail icon

E-commerce & Retail

Gambling and Casino icon

Gambling and Casino

Manufacture icon

Manufacture

Ecology icon

Ecology

FinTech

Energy icon

Energy

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Localisation

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IoT

Vitaliy Fedorovych

CEO, Data Scientist at Amazinum

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Hello there!

Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together

Contact Us

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Contact Us

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Bazarnitska Alina

Client Partner

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Ihor Khreptyk

Client Partner

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Stopnyk Zoriana

Client Partner

Vitaliy Fedorovych contact us photo

Vitaliy Fedorovych

CEO, Data Scientist

Vitaliy Fedorovych

CEO, Data Scientist at Amazinum

Vitaliy Fedorovych contact us photo

Hello there!

Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together

Contact Us

Click or drag a file to this area to upload.

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