https://journals.sagescience.org/index.php/jamm/issue/feed 2024-02-23T11:32:19-07:00 Open Journal Systems <p>The Journal of Artificial Intelligence and Machine Learning in Management is a leading academic journal that focuses on the application of artificial intelligence and machine learning techniques in management and business. The journal publishes original research papers, review articles, and case studies that provide insights into the latest developments in these fields and their impact on management and business practices. The journal is particularly interested in papers that explore the intersection of artificial intelligence, machine learning, and management, and how these technologies can be used to improve decision-making, optimize business processes, and enhance performance.</p> https://journals.sagescience.org/index.php/jamm/article/view/128 2024-02-21T02:27:32-07:00 Wei Chen and Jing Zhang weichen_jing@yahoo.com

<p>Security operations centers (SOCs) are under increasing pressure to detect and respond to cyber threats in real-time amidst an ever-expanding attack surface and talent shortage. Artificial intelligence (AI) and automation offer immense potential to augment human analysts and boost SOC performance and productivity. This paper examines the evolution of SOCs, key challenges, and the role AI-driven automation can play in elevating security operations. An overview of core AI capabilities for security use cases across major SOC functions is provided. Critical factors for successful AI adoption, including workflow integration, transparent AI, and continuous ML model validation, are discussed. Recommendations are presented to guide security leaders in leveraging AI-driven automation to enhance the efficiency, efficacy, and resilience of SOCs against modern cyber threats.</p>

2024-02-06T00:00:00-07:00 Copyright (c) 2024 Authors https://journals.sagescience.org/index.php/jamm/article/view/129 2024-02-23T11:32:19-07:00 Tarek Ibrahim IbrahimTAREK@GAMIL.COM Hala Rashad RashadHAL44@GMAIL.COM

<p>This study explores the transformative impact of artificial intelligence (AI) on the healthcare industry, focusing on its implications for employment, skill requirements, and professional development of healthcare professionals. In the context of employment, we find that AI is reshaping rather than replacing healthcare roles. It fosters the emergence of new specialties and increases efficiency in existing jobs by automating routine tasks. Regarding skill requirements, there is a growing necessity for healthcare professionals to acquire basic technical competencies and data literacy. These skills enable effective interaction with AI systems and informed decision-making based on AI-generated data. Furthermore, the rapid evolution of AI technologies necessitates a commitment to continual learning and adaptation among healthcare workers. In terms of professional development, our study highlights the importance of specialized training programs that incorporate AI-related skills and knowledge. These programs are crucial for preparing both current and future healthcare professionals to work alongside AI technologies. Additionally, we emphasize the need for interdisciplinary collaboration and a thorough understanding of the ethical and legal aspects of AI in healthcare. This study concludes that AI, rather than being a disruptive force, is a catalyst for empowerment and efficiency in the healthcare sector. It calls for healthcare professionals to embrace these technological advancements and adapt their skills and practices accordingly, ensuring they remain integral and effective in the AI-augmented healthcare landscape.</p> <p>&nbsp;</p>

2024-02-09T00:00:00-07:00 Copyright (c) 2024 Authors