
How to ensure data integration?
Data Integration, Data Processing
Artificial intelligence opens up enormous opportunities for companies but also brings new challenges. For AI to function properly, it needs access to information, which is often inconsistent or comes from various sources. Therefore,…

How to prepare data for the AI era?
Data Processing
How to take care of a company's data in the age of AI? This is one of the most important challenges for IT teams in organizations large and small. Today's processes rely on data more than ever, so ensuring its hygiene, correctness…

Challenges in collecting athlete data. What problems do their agents face?
Data scraping
Sports clubs and marketing agencies process vast amounts of information about athletes daily. In theory, it sounds simple: data collection is Sports clubs and marketing agencies process vast amounts of information about athletes…

Automated management of athlete data
Data Processing
Managing a sports club requires not only coaching skills, but also efficient data management. In response to this need, we have developed an automated solution that facilitates the way sports clubs can collect data and analyze…

Process automation in training companies: saving time and resources
Data Processing
Process automation in training companies is a response to increasingly complex and dynamic processes in the field of human resources management. Companies need to cope with an increasing number of repetitive tasks and administrative…

Company process automation
Data Processing
Optimizing work, being more in tune with the market, saving time and money - these are the benefits of automating company processes. Which processes are worth automating? See what you can gain when you do not have to perform…