Machine learning (ML) is a key and increasingly pervasive technology in the 21st century. It is going to impact the way people live and work in a significant way. This lecture starts with an overview of the key ML concepts and different types of ML algorithms. In general, machine learning algorithms simulate the way brain learns and solves an estimation/recognition problem. They usually...
Social networks are live entities that exhibit dynamic behaviour over time. Phone calls, emails, SMS, etc., define implicit, huge, and high-speed networks. In this talk, we described our work in analysing evolving networks. We present a method that tries to understand the trajectories of communities and explain the trajectory in terms of the topology of the evolving network.
Partial Differential Equations (PDEs) are fundamental to model different phenomena in science and engineering mathematically. Solving them is a crucial step towards a precise knowledge of the behavior of natural and engineered systems. In order to solve PDEs that represent real systems to an acceptable degree, analytical methods and conventional engineering skills are usually not enough. One...
Evolutionary Intelligence (EI) has been widely used during the last two decades and has remained a highly-researched topic, especially for complex engineering problems. The EI techniques are a subset of artificial intelligence, but they are slightly different from the classical methods in the sense that the intelligence of EI comes from biological systems or nature in general. The efficiency...
The research for advancing machine learning (ML) methods and applications has significantly progressed within the past few years. ML models are established as the foundation of artificial intelligence systems and, consequently, become essential parts of our lives. ML has gained tremendous popularity in a wide range of scientific disciplines including platform economy and algorithmic management...
AI and data science are increasingly applied in variety of functions across diverse industries. But only a fraction of AI and data initiatives are successful in delivering the intended value. Most of the corporate business practices and processes are built around a mix of enterprise software tools. Business leaders have become familiar with ERP and IT processes. But AI deployment is not like...
The growth of a company, the extending presence on the market and the evolving maturity of the organizational unit all justify the necessity of the application of the data-driven mind-set in the management and organisational practises. The subject of this study is a project administration solution of a successful Hungarian-owned SME that is highly integrated into the international value chain...
Digital footprint is a commonly used expression and includes the personal data also, digital and the physical attributes and activities of a person. This discussion aims to raise awareness around the ethical aspects of the application of AI as it is dealing with the information on all of us, and as such it looks at our traces from our digital footprint. AI support systems have become a...
Digitalization affects the work of different employees in different ways. Drawing on research that has previously been received when analysing digital divides among citizens, this paper examines what of digital media user groups can be distinguished among Finnish employees, how they differ from each other according to background factors and how differences in use are reflected in different...
While working life studies have mostly focused on the precarious aspects of work mediated via online labor platforms, this presentation follows a different approach and examines the potential of such work to benefit professionals by enhancing their job quality and learning. The qualitative, practice-based study applies the concept ‘co-creation’ to examine how a social form of creating value...
This presentation draws attention to the increasing concerns related to ICT-enabled surveillance during telework[1], which skyrocketed during the COVID-19 pandemic. New monitoring tools were often diving deep into workers home settings, in this way jeopardizing their privacy and labour rights. The topic of staff surveillance is not likely to disappear even if the majority of employees return...
In order to better understand how digital platforms are reshaping the nature of future work and employment, it is worth calling the attentions to the relative shortage of research on the social-cultural characteristics of the digital platform builders. The mainstream organizational and labor process literature is focusing on measuring the effects of digital platforms on the work itself, on the...