Artificial Intelligence Development
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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.
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.
$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
Logistics and
Transportation
Healthcare
Manufacturing
Information
Technology
AI Applications
Automania
Data Analysis & Insights
Predictive Analytics
Personali-zation
NLP
Image & Video Analysis
Risk Assessment
Optimization Management
Decision Support Systems
Process Improvement
Customer Service
Quality Control
Research & Development
Marketing & Advertising
Legal Business
Travel
Real Estate
Fashion
Hospitality
Healthcare
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.
Retail and e-commerce
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.
FinTech
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.
Education
- 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.
Manufacturing
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.
Entertainment and gaming
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.
Fashion
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.
Logistic and Delivery
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.
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 vast 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, 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 that 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 contract 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 the 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.
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.
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 & Marketing
Healthcare
Safety & Security
Sport
E-commerce & Retail
Gambling and Casino
Manufacture
Ecology
FinTech
Energy
Localisation
IoT
Vitaliy Fedorovych
CEO, Data Scientist at Amazinum
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
- 4A Peremohy square, Ternopil, Ukraine, 46000
- +380 98 85 86 330
- vfedorovych@amazinum.com
Contact Us
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Bazarnitska Alina
Client Partner
Ihor Khreptyk
Client Partner
Stopnyk Zoriana
Client Partner
Vitaliy Fedorovych
CEO, Data Scientist