Guest lectures at the Faculty of Economics

As part of the Business Informatics course at the Faculty of Economics, a guest lecture was organized on the topic “Databases, Data Management and Data Governance.” The lecture was delivered by Marija Uskoković, Advisor for Data Management at NLB Bank Podgorica, working within the Business Solutions Development and Business Analysis, Information Technology Sector.

During the lecture, students had the opportunity to gain insight into both theoretical foundations and practical applications of data management in modern organizations. The lecture covered the full lifecycle of data, database technologies and database management systems, as well as the role of data warehouses and data marts.

Particular attention was devoted to the concept of data governance, including policies, roles, data quality standards, and regulatory compliance, which are especially important in highly regulated sectors such as financial services. The presentation also addressed the importance of information management, data quality, and the problem of data silos, highlighting how proper data organization supports reliable business decisions. After the lecture, students participated in a short case study exercise, where they applied the knowledge gained during the presentation to a practical scenario, allowing them to better understand real-world challenges related to managing and governing data in complex information systems.

On second occasion the Faculty hosted a guest lecture on Artificial Intelligence delivered by Ivan Bošković, CEO of IT Advanced Services.

During the lecture in the Business Informatics course, Ivan provided an overview of the historical development of artificial intelligence, clarifying its evolution and positioning in relation to machine learning and deep learning. He also introduced students to the fundamentals of natural language understanding, offering insight into how AI systems interpret and generate human language.

A practical segment of the session was dedicated to prompt engineering, where students learned how to structure prompts effectively in order to achieve more accurate and useful outputs from AI tools. The second part of the lecture focused on AI agents, one of the most relevant and rapidly developing areas within generative AI. Ivan demonstrated how an AI agent operates in practice and highlighted a range of everyday tasks in which such systems can provide meaningful assistance.

The lecture concluded with an engaging discussion, during which students shared their own experiences and perspectives on using artificial intelligence in their academic and personal activities.