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Scientific Research Journal

Scirj Volume XII, Issue VIII, August 2024 Edition
ISSN: 2201-2796


Publication starts: 15th August 2024
Full Paper available from: 15th August 2024


AI-driven transformation of business models: new opportunities for startups in the global marketplace
Peniaz Lizaveta

Abstract: This study examines the transformation of business models under the influence of AI, focusing on new opportunities for startups in the global market. Utilizing data from recent McKinsey reports, the research analyzes the rapid adoption of generative AI and its impact on innovation and competition. The study identifies key areas for AI-driven innovation, including personalized medicine, fintech, and sustainable technologies. It explores differentiation strategies for AI startups, emphasizing specialization, technology integration, and ethical AI development. The research highlights the critical importance of risk management in AI implementation, addressing challenges such as data accuracy, cybersecurity, and regulatory compliance. The findings reveal that successful AI integration requires a comprehensive approach, combining strategic vision, cultural adaptation, and ethical considerations. The study concludes that startups capable of balancing innovation with responsible AI practices are poised to lead in reshaping global business landscapes, contributing to both commercial success and societal benefit.

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Page 1-10

Robotics and AI in Surgical Procedures
Nurah Ibrahem Alhmed

Abstract: This report explores the potential of artificial intelligence (AI) and autonomous robotic surgery, focusing on ethical, regulatory, and legal issues, including civil law, international law, tort law, liability, medical malpractice, privacy, and product/device legislation. Through an extensive review of literature on current and emerging AI technologies in various sectors such as vehicles, military, and medical technologies, including surgical robots, we examine relevant frameworks, standards, and global cybersecurity and legal systems. The discussion emphasizes unique challenges in robotic surgery, particularly related to Explainable AI and machine learning "black box" nature. We categorize responsibility into Accountability, Liability, and Culpability, with the latter remaining ambiguous due to technological limitations. We foresee a future where surgical robots perform routine tasks under human supervision, akin to autonomously driven vehicles, with a doctor-in-the-loop model ensuring patient safety. Recommendations are provided for developing and refining relevant frameworks and standards to address these challenges.

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Page 11-17

Data Encryption in Cloud Storage Using AES and RSA Algorithms
Asha Seshagiri

Abstract: This paper discusses data encryption methods in cloud storage using AES and RSA algorithms. The role of these algorithms in ensuring the confidentiality and integrity of data during their storage and transmission through cloud services is analyzed. The advantages of symmetric and asymmetric encryption are discussed, as well as their combined use to improve security and efficiency. In particular, the AES algorithm, based on symmetric encryption, provides high data processing speed, whereas RSA, which is an asymmetric algorithm, provides reliable protection of encryption keys. The work highlights the importance of choosing the right encryption algorithms and methods to ensure data protection in the face of increasing cyber threats and the expansion of the use of cloud technologies.

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Page 18-23

Analyzing and improving user experience in cryptocurrency applications
Alona Dobshynska

Abstract: This paper aims to analyze and improve user experience (UX) in cryptocurrency applications. The study takes an interdisciplinary approach combining UX design principles, behavioral economics, and fintech innovation. Key UX challenges are identified, including cognitive complexity, security concerns, limited integration with traditional finance, and the impact of volatility. Innovative solutions are proposed with a focus on intuitive interfaces, educational elements and hybrid financial instruments. As an example, a cryptocurrency card with a line of credit function was presented. Quantitative results show a significant improvement in usability metrics: SUS scores improved, user retention rates increased, and key transaction times decreased. The study concludes that improving UX is critical for cryptocurrency adoption and integration into the global financial system. Future research directions include longitudinal studies on the impact of UX, developing standardized metrics, and exploring cultural factors of cryptocurrency interface perception.

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Page 24-32