FM - Digital Transformation
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Browsing FM - Digital Transformation by Subject "Artificial Intelligence (AI)"
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Item AI & Cybersecurity – connection, impacts, way ahead(Pro Universitaria Publishing House, 2024-07-16) Sarcea (Manea), Oana AlexandraArtificial intelligence (AI) and cybersecurity have a strong connection and impact each other in different ways. An overview is related to the following categories: detection and prevention, automated response, adversarial AI, data protection, risk assessment, privacy concerns. Looking ahead, the linkage between AI and cybersecurity will continue to evolve. Key areas of focus include: development of AI-driven security solutions, ethical AI-use, enhanced threat intelligence, human-machine collaboration. Overall, AI holds tremendous potential to revolutionize cybersecurity, but it also presents new challenges that must be addressed to ensure a secure and resilient digital environment. The relationship between AI and cybersecurity is multifaceted. AI technologies are increasingly being employed both to enhance cybersecurity defenses and to facilitate cyberattacks. In addition to the above key points, is to mention the cybersecurity skills gap: with the growing complexity of cyber threats, there is a shortage of skilled cybersecurity professionals. AI technologies can help bridge this gap by automating routine tasks and augmenting the capabilities of existing security teams. Behavioral analysis is another important element: AI-powered systems can analyze user and network behavior to identify anomalies that may indicate a security breach. By understanding typical behavior, AI can detect deviations that might signal an attack. Overall, the relationship between AI and cybersecurity is complex and evolving. While AI offers significant opportunities to enhance cybersecurity defenses, it also presents new challenges and risks that must be addressed. Ongoing research and development are essential to stay ahead of emerging threats in this rapidly evolving landscape.Item Artificial Intelligence in modern policing : understanding the multifaceted impacts(Hungarian Association of Police Science, 2024) Ioan, AlexandruThis article comprehensively examines the multifaceted impact of artificial intelligence (AI) on modern law enforcement, considering stakeholders, societal implications, and results analysis. In an era of rapid AI advancement, law enforcement increasingly leverages AI for enhanced operational efficiency, public safety, and addressing challenges. The paper begins with predictive policing, using machine learning to analyze historical crime data and predict hotspots, exploring its impact on stakeholders and societal implications. The role of AI in investigative processes, particularly facial recognition aiding suspect identification and forensics, is assessed with attention to privacy, accuracy, and transparency. AI's role in digital forensics and cybercrime detection is discussed, emphasizing stakeholder involvement, ethical concerns, and the balance between privacy and security. Integration of AI in police operations and resource management is examined, focusing on AI-driven decision-making, optimized patrols, resource allocation, and emergency responses.Item Looking into the antecedents of the transformation of IT jobs : a country-based perspective(Faculty of Management (SNSPA), 2022) Moldoveanu, IonTechnology is changing at an exponential rate. As a result, it does have a disruptive life on society and our lives. It changes our personal lives, socialization, and interaction with people and businesses. Technology has changed and does continue to change the way we work. Along with the four industrial revolutions, many jobs have disappeared, more jobs have been created, and almost every job was transformed by automation. The 4th industrial revolution leading to Industry 4.0 is powered by artificial intelligence, robotics, Internet of things. The Information Technology (IT) industry and IT professionals primarily drive this transformation. While information technology specialists contribute with the technology they build to change their world, technology is transforming the profession responsible for this transformation. The paper looks at how digital transformation impacts the transformation of IT jobs, how government policies and managerial strategies impact the transformation of IT jobs and how employees and organizations are responding with investment in skills development. The research relies on a questionnaire-based survey with 132 Romanian IT professionals, students and computer science professors representing small and large organizations. Seven out of the nine hypotheses were supported by the data, confirming that digital transformation impacts the transformation of jobs, particularly IT jobs, and that this drives the need to build new technical and soft skills.Item The impact of knowledge vulnerabilities on knowledge risks(Bucharest University of Economic Studies, Faculty of Management, 2024-03) Brătianu, Constantin; Bejinaru, Ruxandra; Ursache, Vlad-MihaiThe purpose of this paper is to explore the impact of knowledge vulnerabilities on knowledge risks and to analyse their intricate connections within the knowledge management systems. It is a new topic in knowledge management which is requested by the accelerated process of digitalization and the exponential development of the AI programs. There is a lack of research in this area and efforts should be made to bridge the knowledge gap. The method we use is based on a critical analysis of knowledge vulnerabilities and knowledge risks within a generic organization and of designing tree-diagrams able to illustrate the connections between them, and the possible adverse consequences for the firm’s performance. The method of tree diagrams has been extensively used in risk analysis of the complex technological systems of airplanes and nuclear reactors. Also, it is used in the risk management applied to other domains like climate change and earthquakes. It is the first paper to investigate these phenomena and to conceptualize such kind of diagrams.