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Artificial Intelligence (AI) can be defined as the field of knowledge dealing with the search for solving techniques - and their formal formulation allowing machine implementation - difficult problems, i.e. those which people solve - more or less straining their intellect - but which are accurate and general solution algorithm can not give.
Over 40% of us deal with AI software development every day, but only every second person can explain what the term actually is. Today, artificial intelligence is no longer an avant-garde concept - it is even the technological reality of the 21st century that companies must get used to. A new Gartner survey revealed that the number of AI development implementing organizations has increased by 270% over the past four years, and has tripled over the past year.
By using machine learning and analyzing large data sets, AI services are able to provide companies with deep insight into their clients. Not only will businesses be able to hyper-personalize interactions, but they can also predict future customer behavior based on the information collected.
Machine Learning is part of AI software development or computational intelligence and deals with algorithms for analyzing data and learning based on this data, and then using the acquired knowledge to e.g. predict something. There are four main types of machine learning: supervised, semi-supervised, unsupervised and amplified.
One of the most commonly used areas of Machine learning is IT and the Internet. It is useful, among others, in detecting fraud, attempting to phishing data. Of course, there are many uses. The essence is the ability of prediction, i.e. the ability of the developed model to predict future events and the ability to explain the process that led to the creation of dependencies in the data set.
It is difficult to find areas of life, industries or applications that would not even use the seed of AI. Today, the whole world of technology is moving towards AI / ML. See what popular artificial intelligence applications you can meet.
is one of the skills of artificial intelligence, focused on recognizing the content of images - objects, people, landscapes, symbols, texts found in photos or graphics, etc. The process resembles the task of "describing pictures" known from kindergarten or primary school. Depending on the algorithms available, Computer Vision is directly connected with AI and can more or less effectively distinguish between those features of the content it targets.
in the case of gaming, a classic game - chess - can be a very good example. In this case, AI and ML have experienced incredible skills and are able to win with the greatest chess grandmasters in the world. When it comes to computer games, here also AI analyzes how the player plays and adapts to his playing style and tries to circumvent him.
thanks to the combination of machine learning and AI - the robot is able to learn its natural language from man and thanks to this we can talk to Alexa, listen to Google Assistant jokes.
it is an industry where no error can come in, often small mistakes lead to millions of losses. AI in cooperation with Machine Learning reduces the degree of possible error to a minimum.
here, a great example will be autonomous cars that are able to travel huge distances without human intervention. This is an industry in which AI software development and ML has developed a lot and is probably one of the examples of the most effective application.
a flagship example in the healthcare industry, which turned out to be very useful in the life of doctors was the AI analysis of test results. The AI software can predict diseases with great precision. Thanks to this detailed AI analysis, we can come to a precision analysis of the results to which humans have not yet reached.
is an object-oriented programming language, which is distinguished by its dynamics, ease of learning and many possibilities of use. Scikit and TensorFlow are two popular machine learning and AI libraries available to Python developers.
is a high-level general-purpose programming language. It is fully object-oriented, except for a few simple types. Java is easily portable as it is interpreted by a Java cross-platform Java Virtual Machine. The best in terms of Artificial Intelligence / Machine Learning in JAVA will be a framework called Weka.
Our 10 years of experience in the industry has meant that we have almost 60 great developers on board. Many of them know AI and Machine Learning almost from the inside. We will familiarize you with your project with great pleasure because every challenge is welcome - we are truly passionate about technology. We approach each project individually because we believe in communication, consistent rules and cooperation based on understanding needs.
We adapt to your needs, project specifics and current challenges. If you need additional developers, we'll gladly expand your team.
It is not worth delaying the start of cooperation. That is why we meet your needs and provide you with the CVs of our developers within a few days.
We are not newcomers. We solve real problems, our engineers create high-tech AI projects. Trust the years of experience, time is in favor. We scale our knowledge and experience and share it.
What industry are you from? E-commerce? Automotive? Insurtech? FinTech? We've created for the largest and most niche industries on the market. We are happy to talk about your project.
We will adapt to your current team of developers or create a new team for you. This means one thing, using the right language and framework. We know how to do it.
We believe only in 100% transparency. If we are to cooperate only on clear terms, the same applies to communication. Agile and daily updates are a core thing for us.
We've created a solution based on AI technology. The main intention in creating the project was nudity detection, proper categorization and pixelization. Thanks to the appropriate classification with a very high dose of probability, AI knew what kind of nudity this was. This solution allowed to relieve people who had to browse thousands of photos every day.
As a result, we've created an API to which, after pasting the URL with the photo, we could, in addition to the mere nudity, be examined using AI - sex, age, emotions. We created all the software based on the Agile approach. This solution saved hundreds of hours and streamlined work.