Application of Python Programming Language in Analyzing the Operations of Silicon Valley Bank

Miloš ŽIVIĆ, Dejan NEMEC

The principal focus of this paper is an examination of the utilisation of the Python programming language, in conjunction with pertinent libraries (namely pandas, matplotlib, seaborn, etc.), for the purpose of analysing specific aspects of operations at Silicon Valley Bank (SVB). SVB was a financial institution with a lengthy history and notable presence in the technology sector. The bank’s primary activity was business with the economy, particularly with startups and venture capitalists. However, it ultimately failed in March 2023 due to its inability to adapt to the digital banking landscape. Its collapse had the potential to trigger a global financial crisis, but fortunately, this did not occur. This paper aims to analyze the bank’s operations and global events during this period using Python to determine whether the bankruptcy could have been avoided.

Wi-Fi 7 (IEEE 802.11be) Technology Features, Improvements It Brings and Expectations for Wi-Fi 8

Dejan NEMEC

IEEE 802.11be, is the latest standard in the IEEE 802.11 series. The Wi-Fi Alliance has named it Wi-Fi 7, since it follows Wi-Fi 6/6E. Over time, during 25 years, Wi-Fi wireless technology, from a speed of 1 Mbit/s, evolved to a technology that today allows a maximum of 46 Gbit/s. Such high speeds are possible by improving the technology that has been used so far and by introducing some new ones. The final IEEE 802.11be standard will be adopted in the coming months, while the Wi-Fi 7 certification process started on January 8, 2024. Although there are no specifications, the next Wi-Fi 8 is already announced, a generation that should bring new improvements. This paper lists the features, i.e. technologies related to Wi-Fi 7, a comparison with previous technologies and improvements that Wi-Fi 7 brings, as well as predictions of the basic features of Wi-Fi 8 are presented.

Transformation of Learning in Higher Education based on AI-tools

 Gordana OSTOJIĆ, Stevan STANKOVSKI

One of the most important indicators of the development of any social community is the number of innovations it creates and applies, especially in its environment. Although most people associate innovation with industrial society, historically the first innovation occurred several million years ago, when the first tools appeared with which the ancestors of modern man began to perform various tasks in hunting and food preparation. In recent years, innovations have come in the form of tools based on various methods of artificial intelligence (AI). These tools provide significant assistance in the creation of innovations. A prerequisite for the use of this support is the transformation of learning in higher education, taking into account the current and future potential of AI-based tools. This thesis describes an approach that enables the transformation of the way knowledge is delivered in higher education, in a way that supports the development of innovations aimed at the success of business systems.