Competitive Intelligence (CI) is vital for sustaining the performance of organisations in an increasingly volatile, uncertain, complex, and ambiguous (VUCA) world. However, the impact of CI on performance is proportional to its maturity level. The article aims to review and integrate the existing literature on Competitive Intelligence Maturity Mode...
Research in artificial intelligence and business model innovation is flourishing. Nevertheless, the current discussion lacks an overarching understanding of, and thus has not sufficiently addressed, the interface between artificial intelligence-enabled business model innovation and the critical role of top management. Although a paradigm shift affe...
The deployment of Artificial Intelligence (AI) has been accelerating in several fields over the past few years, with much focus placed on its potential in Business-to-Business (B2B) marketing. Early reports highlight promising benefits of AI in B2B marketing such as offering important insights into customer behaviors, identifying critical market in...
Tehnološki napredek in razvoj umetne inteligence je danes viden že na vseh področjih našega življenja, svoj vzpon pa doživlja tudi v humanitarnem sektorju. Umetna inteligenca lahko, če je uporabljena primerno in pravilno, izboljša in olajša delo ljudi. Potrebno pa je poiskati ravnovesje med človekovimi pravicami in tehnološkim razvojem ter v ospred...
Published in Slovenian Journal of Public Health
The COVID-19 pandemic has led to a surge in scientific publications, some of which have bypassed the usual peer-review processes, leading to an increase in unsupported claims being referenced. Therefore, the need for references in scientific articles is increasingly being questioned. The practice of relying solely on quantitative measures, such as ...
Accurately predicting user clicks is crucial for the success of online advertising in the real-time bidding industry. In this thesis, our goal is to conduct a thorough comparison and evaluation of click-through rate prediction models commonly used in practice. Our advantage lies in our unified implementation approach, which allows for a fair and co...
V inženirskih aplikacijah je strojni vid ena najbolj uporabljenih metod umetne inteligence, ki se pogosto uporablja za zaznavanje napak na raznih izdelkih. Ker so aplikacije velikokrat zahtevne, se za uspešno opravljanje nalog velikokrat združuje več različnih algoritmov. Pri obravnavanem primeru je bil zasnovan algoritem za detekcijo mesta poškodb...
This thesis explores application of machine learning methods for classification of patients with Parkinson's disease (PD) to improve accuracy over current methods. Our aim is to present a generalised algorithm for disease progression analysis from time series data that can be applied to arbitrary data of this format. We used clinical time series da...
