Artificial Intelligence

Text reading The future belongs to those who can scale AI seamlessly, alongside a close-up image of a computer chip, and the PROFINIT logo.
Marek Pauš

Unlocking AI’s full potential: a roadmap to scaling AI successfully

AI’s transformative potential is undeniable, but its success isn’t guaranteed. Organizations must approach AI adoption with a strategic mindset.

Two businesspeople shaking hands in a digital, futuristic environment symbolizing metadata-driven automation and a technology-driven partnership.
Marek Pauš

The power of metadata-driven automation

Business and IT often speak different languages, causing delays and inefficiencies. Find out how enhance collaboration, and turn inefficiency into innovation.

Filip Linek standing next to a case featuring BE-A, a humanoid AI Receptionist, showcasing the future of the hotel industry.
Michal Roskanin

BE-A AI receptionist is changing the rules of the hotel industry

Humanoid AI receptionist, based on artificial intelligence (AI), could revolutionise the hospitality industry and help preserve service quality.

Two people shake hands next to a text announcing Raiffeisenbank IT and Profinit's strategic cooperation in AI, data.
Judita Jerie

Raiffeisenbank IT and Profinit announce strategic cooperationin AI, data and information

The objective is to accelerate the adoption of AI and data-driven decision-making at the bank, taking advantage of Profinit’s expert experience. The partnership will include the RB AI Data Lab, piloting new concepts and interconnecting business with science and research. The partnership also plans to take on the productization of the models it produces, so-called MLOPS.

Bohumír Zoubek smiling in front of large windows, with text overlay: Software engineering, Data and AI.
Peter Čmelík

The development of AI will help people. There is no other way, says Bohumír Zoubek of Profinit

Profinit delivers unique software systems, projects and teams for major European companies and organizations. Their services are based on the principles of software engineering, enabling the long-term operation of IT systems. These touch the lives of ordinary people, from pharmaceuticals to insurance, banking to information…

Petr Paščeno, Head of Data Science, is being interviewed by another person holding a microphone.
Peter Čmelík

Why search the law books? Just ask the AI!

Thanks to AI, the ZákonyMluví.cz portal can search the sections of the Civil Code and answer people’s questions in a comprehensible way. Profinit’s data team allowed us to see for ourselves how AI navigates the labyrinth of Czech legislation. Similar solutions…

A graphic promoting article - How using data helps banks minimize the risks of loan default
Lukáš Dvořák

How using data helps banks minimize the risks of loan default

Automation of your scoring mechanism using predictive models enables a shift from reactive to proactive credit risk management

Petr Paščenko, Profinit's Head of Data Sicence giving lecture on Social scoring and credit forecasting with Profinit logo in the corner.
Lukáš Dvořák

Social Scoring and Credit Forecasting: Data Science Breakfast

We held another professional breakfast, this time on the topic of credit forecasting. The breakfast was mainly directed at professionals from the fields of AI, data analysis, and modelling, but we also gladly welcomed directors and managers, especially from the banking sector as they are…

Webinar titled Banking transactions predictive analytics by Dominik Matula, Senior data scientist, hosted by Profinit.
Peter Čmelík

WEBINAR: Revealing clients’ behaviour from transactional data

We are living in a world of relations. Every click on a link, every article, image or video you have seen, every like you have given – those all make relations between you and some content. This fact is not applicable to social media exclusively.

Code Quality Matters—don’t let your software development solution end up in the trash.
Dominik Matula

Code quality matters

In the modern age of big data, data science solutions are entering ever new fields. The market is literally over-saturated with start-ups, which daily generate new and modern ideas on how to extract even more from data. So, it’s surprising that ML hasn’t taken over the business of all major corporations yet, and it’s even harder to understand how…