Commerce is increasingly using new technologies to streamline its processes. Barbara Sobkowiak - Data Science Manager at Britenet - talks about artificial intelligence in commerce and its possibilities.

Banking & Insurance companies are eagerly looking for innovative IT solutions to increase their competitiveness in the market. Implementing them is possible if the right outsourcing partner is trusted.

We say that data is extremely valuable to us. On the other hand, we most often deal with them haphazardly and without a plan. The way out of such a situation is to conduct a data ecosystem audit.

What can we do to make most of our IT projects successful? We can look for the answer in the history of the retail industry.

Many stores and warehouses face a serious question every day: Whether and how much of a particular commodity to order? As a Britenet expert explains, machine learning algorithms can provide the answer.

In a recent article, Barbara Sobkowiak, Data Science Manager at Britenet, talks about five questions to ask before implementing Machine Learning in our company. They will make the process successful.

Today, the world of finance is as dynamic as Formula 1 racing. Not only are banks competing with each other, but new competitors are growing like mushrooms after the rain in the form of fintechs and neo-banks. Who will manage to stay ahead of the competition?

In business, we want to make decisions based on the information we get from our environment. Unfortunately, there is more and more data, and our capabilities and time are not increasing at all. Machine Learning algorithms will therefore help.

The financial industry faces the challenge of competing for valuable professionals with IT companies and fintechs, among others. This is a good time to add the paradigm of employee-centric thinking to client-centric thinking. How to do it?

We are interested in what we eat, we look at the composition of the products we buy in the shops. But have you ever wondered what we need to feed artificial intelligence to make it healthy, fit and really intelligent?

There are no shortcuts in building a corporate data ecosystem! Like building a house, it is a complex and time-consuming process.

The most important thing for any organisation is its customers' data. After all, it is customers who decide whether or not they use our services or products.

If we look at an enterprise as a persistently working engine, the fuel that drives it is called data. In the era of Big Data, the ability to collect and use data gives us a competitive advantage.