Artificial intelligence

Artificial intelligence (AI) is a special algorithm developed to solve a specific task and optimize processes. Constantly evolving digital tools help organizations work faster with information and contribute to business management and process optimization.

Besides, this tool improves and speeds up analysis and resource utilization, automates complex processes.

Most often, AI refers to the ability of a computer or machine to simulate the possibilities of the human mind - to learn from examples and experiences, to recognize objects, to understand and react to the environment, to make decisions, and to solve problems.

Unlike other algorithms, artificial intelligence learns from its "experience", so its solutions and actions in analogous situations are different. Relevant data is required for proper and maximum efficient operation as it is the basis of the algorithm.

By thinking differently than people, AI can more quickly uncover market gaps and opportunities and help present new products, services, channels, and business models at a speed and quality never before possible.

The changing approach encourages customers to use AI technology. Systems related to AI's are designed to ensure innovation, improve business processes, and allow employees to take on more important tasks while transferring much of their work to artificial intelligence.

This is especially important for organizations that work with large amounts of information, as they need to ensure accuracy, avoid mistakes, and their repetition.

Artificial intelligence also allows us to provide high-quality customer service on a 24/7 basis - i.e. to solve problems and provide real-time customer service 24 hours a day, seven days a week.

In this way, this algorithm creates changes in companies and helps to provide better services, and its use is so diverse that perhaps the most important thing you need is the idea of where to speed up work, regardless of the field of work.

Artificial intelligence is applied in various areas of activities of the organizations: to predict future events, for example demand, sales, need of maintenance, making decisions, to visualize and analyze larger data, to segment clients and to conclude dynamic pricing, to assess credit worthiness, in recommendation systems, client service or supply chain planning and automation.

The technologies we are using are:

  • Python;
  • Anaconda;
  • Tensorflow;
  • Scikit Learn;
  • Jupyter.