Machine learning solutions
ADfartechx draws upon profound expertise in machine learning to create state-of-the-art software solutions automating processes, reducing operating costs, and uncovering novel problem-solving opportunities. Our R&D specialists with broad knowledge of various business domains and ML technologies assist our clients in retrieving valuable insights about the market and increasing the overall effectiveness of business processes.
Enhance your business with state-of-the-art machine learning solutions
Build better projects with Microsoft Solutions Partner
The partnership with Microsoft marks us as a trusted collaborator for businesses seeking to leverage AI for their digital transformation efforts.
Through our affiliation, we can offer our clients robust AI solutions and tools, critical for creating smarter applications and managing data effectively. The recognition from Microsoft also positions us as a reliable partner able to meet specific customer demands.
Our machine learning services
Machine learning
Developing the solution from scratch is the right move in case there’s a need for an ML algorithm with specific functionality. Such systems will address the needs and objectives of users perfectly.
Deep learning
Inspired by living creatures processing information, deep learning algorithms bring valuable benefits to a vast array of fields, from machine translation and computer vision to bioinformatics and drug design.
Data science
Using a combination of advanced analytics techniques and cutting-edge technologies like machine learning, data scientists extract insights from large volumes of data. This aids businesses in strategic planning, workflow optimization, customer behavior analytics, and data-driven decision-making.
Computer vision
ML algorithms with an ability to recognize images and distinguish objects shown can increase efficiency of an array of processes, from sorting, tagging and categorizing photos to reinforcing and automating the security with the help of CCTV.
Speech recognition
With the help of machine learning products become able to recognize and understand human speech making the user experience more lively and effective for a business.
Algorithm optimization
Optimizing machine learning algorithms means finessing their level of precision. Developers can significantly increase the efficiency of ML algorithms by advancing hyperparameters or achieving the best model variables through training.
Predictive analytics
Predictive analytics solutions analyze historical data to exploit it in identifying risks and opportunities and building predictive models. Utilizing machine learning for this purpose allows businesses to gain valuable insights into performance and risks facilitating data-driven decision making.
Sentiment analysis and NLP
Machine learning and natural language processing (NLP) enable businesses to automate processes like social media analysis or navigating the customer to the goal increasing the overall efficiency of sales and marketing activities.
Optical character recognition
ML-based OCR solutions increase effectiveness of documentation management processes, ensure they contain no mistakes, and can even be implemented for security purposes to prevent confidential data leakage.
Machine learning solutions we build
Predictive maintenance
By utilizing predictive analytics, audiovisual comprehension, and other machine learning techniques, Innowise will reduce the financial losses of your business by providing the information on the maintenance needed for tools and machines in advance.
Fraud detection
To detect and prevent fraud, Innowise teaches machine learning solutions on specific data sets that teach the algorithms to check users’ actions according to certain rules or detect specific anomalies happening when a fraud case occurs.
Demand forecasting
leverages the power of machine learning to perform retrospective and real-time market data analysis unveiling seasonable trends in demand leading to more accurate sales predictions.
Dynamic pricing
implements machine learning models to analyze market data about the demand on particular products enabling businesses to automatically adjust their prices to the current demand and sell them more efficiently.
Real-time chatbot development
Virtual assistant development
Building a virtual assistant, we create a special bond between your products and users with the help of audiovisual comprehension, deep learning, and natural language processing. Moreover, a virtual assistant can become a driver of creating a product ecosystem.
Customer behaviour analysis
By training machine learning algorithms to understand customer behavior, Innowise gives businesses essential insights into their customers allowing them to perform customer segmentation, model customer churn and decrease its rates, etc.
Smart recommender systems
Deep learning and marketing automation solutions will enable your business to offer users assets of any kind with increased precision, increasing user satisfaction and reducing churn rates.
Considering implementing machine learning solutions?
Let Innowise handle everything, from discovery to deployment
Data visualization use cases
For the productive work of a company, it is important to know the overall picture of production, finances, and much more. That’s why Innowise offers to collect the information in a single piece, visualize each point, and then highlight strengths or weaknesses of a business. The main data visualization benefits for business include:
AWS data visualization
Amazon Web Services is a cloud platform that presents a wide range of services that perform sophisticated analytics. As a result, business owners can receive insightful predictions and comparisons with major competitors. Innowise actively uses this tool to pinpoint various performance metrics.
AWS data visualization
Amazon Web Services is a cloud platform that presents a wide range of services that perform sophisticated analytics. As a result, business owners can receive insightful predictions and comparisons with major competitors. Innowise actively uses this tool to pinpoint various performance metrics.
Data visualization with Google Data Studio
This app is more commonly referred to as “google data visualization” because this tool is central to the ecosystem for transforming data into detailed reports, graphs and charts. Reports can be edited in real-time and customized, based on a large library of components.
Azure data visualization
ADFAR also uses a service from Microsoft, which provides an excellent computational tool for vast amounts of data. This information can then be visualized into full business analytics for the project. The service can also be connected to Microsoft’s Power BI that can provide additional analytics in other areas
Here are the capacities of Amazon Web Services:
- Predicting business metrics
- Ongoing machine learning analysis
- Integration of data from different sources
- Visualization of key performance indicator
- Data storage and encryption
Here are the features Google Data Studio has to offer:
- Google ecosystem integration
- Advanced monitoring dashboards
- Detailed data filtering
- Connection to any data source
- Dashboard customization
Here’s what Microsoft Azure provides for data:
- Visualization with Azure
- Dashboards
- Integration of other cloud platforms
- Machine learning models and tools
- Prediction from artificial intelligence
- Ongoing data flow analytics
Artificial intelligence solutions we develop
WE offers state-of-the-art artificial intelligence solutions that can be integrated into customers’ business ecosystems seamlessly. They maximize operational efficiency and make businesses more prepared to cope with high-tech challenges.
Healthcare
Healthcare
Fintech and Banking
Fintech and Banking
Insurance
Insurance
Retail and eCommerce
Retail and eCommerce
Marketing
Fintech and Banking
Supply chain
Supply chain
Automotive
Automotive
Media and Entertainment
Media and Entertainment
How companies use machine learning
Big Tech exploits machine learning solutions not only to analyze data, but also to put it to use.
Netflix
Netflix utilizes ML algorithms everywhere from their recommender system to creating custom thumbnails depending on a particular user’s tastes to choosing optimal filming locations.
Google implements machine learning and AI into all of their products, including their search engine, App Store, Google Assistant and Translate.
Amazon
Amazon embeds ML and AI solutions into the marketplace and the voice assistant Alexa, even enabling it to call emergency services.
Best data visualization tools and platforms in 2023
ADFAR uses the most advanced and reliable data visualization tools and solutions for business needs. They can become an efficient solution for visualizing data in different ways depending on your project. Our experts favor the following best data visualization tools listed below.
Automate routine
We can cut the time spent on raw data accumulation, analysis, and other routine time-consuming tasks by implementing machine learning algorithms. Automation won’t just save valuable resources – machine learning technologies can detect anomalies, patterns, and correlations, highlighting unique and efficient insights.
Analyze any data
Machine learning enables multidimensional data processing. By combining different types of data and analyzing them as one cluster, we can discover new trends and insights of great value to the business. Together with automation possibilities, the capability to analyze any data type makes machine learning a powerful tool for data analysis.
Improve customer service
Unleash the power of machine learning to automate customer service processes, boost their swiftness and efficiency while providing customers with personalized experiences. Businesses increase customer satisfaction and loyalty as well as reduce churn rates by improving their customer service processes with the help of machine learning solutions.
Improve security
Utilize machine learning algorithms as exceptional self-improving tools strengthening your business’ protection against malicious actions. ML solutions are capable of almost anything from automating routine tasks to securing the physical or virtual perimeter of a business.
Get your ML algorithms maintained by professionals
Let our highly skilled Machine Learning talents maintain your project
Machine learning implementation cost
ADFAR has over 18 years of experience in software development and 1300+ successfully launched projects of different scales and complexity. The final cost of each project depends on a number of factors, such as:
We always take into consideration the client’s budget and requests to render world-class solution engineering services at a reasonable cost.
Project complexity
Project duration
Team size
Team composition
Professional level of developers
Cooperation model
FAQ
Machine learning is a subset of artificial intelligence presenting the area of computer algorithms science focusing on analyzing and interpreting patterns in data to facilitate predicting and making reasoned decisions.
Using sample data, ML solutions build, analyze, and compare mathematical models giving an opportunity for rapid, informed, and highly accurate predictions of possible outcomes. These algorithms don’t just analyze incoming data but understand and use it, facilitating the system’s continuous self-improvement. Leveraging the unlimited potential of ML solutions is the core of success for modern industries.
Machine learning supports data-driven decision-making, providing businesses with valuable insights into patterns and ways to optimize the production process to keep up with the development pace set up by the market, customers, and competitors.
While AI interacts with the environment to learn and take actions maximizing the chance of successfully achieving goals, ML learns and predicts by passively observing.