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SaaS is another stage in the history of application use that almost completely changes the way of thinking about having a software. The future involves a gradual rejection of the model of leaning only towards the comfortable use of solutions. Saas applications are a tribute to the user who requires comfortable, fast and safe applications.

An idea, a brief, questions, answers, work, after which comes the time to present results. Later on, customer comments, unavoidable corrections and patches - this software production scheme is known to every IT agency. Discussions with the client can drag on endlessly, mailboxes burst from emails and phones don’t stop ringing. Meanwhile, more and more companies start to switch to a different model of collaboration with the client, such as workshops prepared especially for clients.

Not only a start-upper, but every entrepreneur looking for financing from investors should present his venture in a convincing and attractive way. Pitch deck is his great moment, his debut concert - the first match that can decide about the future of the venture. Okay, but how do you do it? What is an effective pitch deck?

In the article on 19 August 2020 we speculated whether the GDPR works as it should. Today we will focus on the 10 most important things concerning the Regulation on Personal Data Protection, which every entrepreneur should remember - for his or her own good.

Contrary to the fears of Neo-Luddhists and to the delight of modern technology enthusiasts, artificial intelligence is with us, and its role in our lives is growing day by day. Machines help us, provide us with a helping hand and learn how to do it better and better. One of the industries that most willingly use the possibilities of AI is logistics and e-commerce. Let's take a closer look at them.

The topic of machine learning appears in almost every discussion about artificial intelligence. We are witnessing a revolution, or perhaps even an evolution, which is supposed to result in self-learning machines. Although today it is a science under human supervision, experts argue that the future of AI is in systems gaining knowledge and new skills independent of humans.

First the disease, then the cure. Sounds logical, right? Someone will ask why such an obvious issue needs to be explained at all? It turns out that a lot of products or services are created before the market needs are recognized. These are the products of passion, which often do not find their customers, which ultimately leads to rolling up the sails by many beginner businessmen.

When looking for software for your business, you have two options: you can use a ready-made product or decide on a solution that will be prepared from scratch - tailored to your business. Although the first option wins in terms of availability on the spot, there is a great chance that the custom-made software will meet all customer requirements.

Although having your own team of programmers seems to be the most obvious situation, many companies decide to hire external specialists. According to statistics, nearly 60% of the outsourcing market is made up of IT/software professionals! Why entrust important tasks to people not professionally connected with our company and why is it profitable?

The General Data Protection Regulation, i.e. RODO has been in force for two years now. This is a good time to consider whether the EU law that is supposed to protect our personal data functions according to its principles.

Face recognition technology is one of the most controversial achievements of human technical thought. On the one hand, it announces a simpler and safer life, and on the other hand, it creates visions of a dystopian world without the right to privacy. However, as with any revolution that has already broken out, it is difficult to stop it. Let us look at examples of this technology, its mechanism and its pros and cons.

The development of automation is not only a vision of the new great world of science fiction films, but it is also the root of a lot of concern. The basic fear that millions of employees around the world are facing is: will machines that are increasingly capable of handling many "human" tasks take away our work? Let's look at research and try to look at some conclusions!