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Leveraging Artificial Intelligence and Big Data: A Comprehensive Examination of Workforce Performance Enhancement, Fraud Detection in the Petroleum and Banking Sectors, Healthcare Innovations, and Ethical Considerations in Information Management Systems Alexandra Harry; Ali Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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In a time of swift technology development and growing data quantities, businesses in a variety of industries are realizing how important it is to boost employee performance, increase operational efficiency, and prevent fraud. The impact of employee training and development on productivity, the use of Block chain and artificial intelligence (AI) in healthcare, the application of successful fraud detection techniques in the banking and petroleum industries, and the optimization of SQL databases for big data workloads are the four main topics covered in this thorough analysis. The results highlight how crucial it is to fund staff training initiatives designed to develop competencies and promote an environment of lifelong learning in order to propel organizational success. The combination of Block chain technology with artificial intelligence (AI) has the potential to revolutionize patient-centered care and secure data management in the healthcare industry, improving both operational efficiency and health outcomes. Advanced technologies like machine learning and big data analytics, which offer strong defenses against the growing threat of fraudulent activities, are becoming more and more important in the banking and petroleum industries for detecting fraud. Effective management of big data workloads requires optimizing SQL databases using strategies like indexing, partitioning, and in-memory processing, which guarantees quick access to crucial insights. All of these observations demonstrate how training, technology, and operational strategies are intertwined in negotiating the intricacies of the modern business environment. In addition to strengthening their resilience, organizations that take proactive measures to address these issues will set themselves up for long-term growth and innovation in a setting that is becoming more and more competitive.

AI Utilizations in Healthcare: Discovering New Methods for Cancer Treatment and Petroleum Fraud Mitigation Alexandra Harry
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4898

This article explores how artificial intelligence (AI) is revolutionizing two important industries: healthcare and the detection of petroleum fraud. The application of AI technology promises to improve patient care, operational effectiveness, and decision-making as they develop further. Through individualized therapies, increased diagnostic precision, and optimized operations, machine learning and data analytics can transform patient management in the healthcare industry. Examples of such applications are IBM Watson for Oncology, Google Deep Mind’s diagnostic systems, and PathAI. To fully utilize AI in healthcare, issues including algorithmic bias, data privacy, and regulatory compliance must be resolved. Leading firms in the petroleum sector, including Shell, BP, and Equinor, have implemented AI-driven fraud detection systems to monitor supply chains, analyze transaction data, and evaluate risks in order to enhance operational transparency and financial integrity. The industry's security is further improved by the combination of block chain technology and artificial intelligence. Organizations, however, have difficulties with data quality, moral dilemmas, and the requirement for ongoing AI system development. A strong framework centered on data integrity, stakeholder participation, and ethical behaviors is required for the successful application of AI in both industries. Organizations may successfully manage today's problems by adopting interdisciplinary collaboration and learning from case studies, which will ultimately improve patient outcomes, operational integrity, and service delivery. This essay demonstrates the profound effects of AI in a variety of fields and stresses the necessity of responsible and creative uses to promote a more effective, open, and just future.

Synergizing Solar Cell Technology, Radio Waves, AI, Cybersecurity and Business: A Comprehensive Review Alexandra Harry
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5136

This thorough review article reveals the amazing possibilities for innovation, sustainability, and connectedness by examining the revolutionary synergy of solar cell technology, radio waves, artificial intelligence (AI), and business. A new era of possibilities has emerged from the merging of these dynamic sectors, ranging from using AI to optimize solar energy generation to utilizing 5G technology and the Internet of Things (IoT) to revolutionize wireless communication. These technologies' convergence provides an ideal environment for entrepreneurship, as demonstrated by successful examples like Verizon's 5G-enabled smart cities and Sun Power’s AI-enhanced solar panels. Artificial Intelligence (AI) is revolutionizing cybersecurity by enhancing threat detection, prevention, and response capabilities. Leveraging machine learning algorithms and data analytics, AI enables systems to identify vulnerabilities, detect patterns of malicious activities, and mitigate risks in real-time. Although this convergence offers ground-breaking potential, it also brings with it difficult problems. These include the effective management of electromagnetic spectrum, ethical AI concerns, and regulatory difficulties. In order to effectively manage this constantly changing environment, stakeholders need to support international collaboration, STEM education, flexible regulatory frameworks, and interdisciplinary research. To fully realize the revolutionary potential of these technologies, workforce development, incentives for sustainable habits, and sustainable technology research are crucial. In addition, in order to spur innovation in green AI, energy-efficient wireless communication, and renewable energy, governments and organizations need to make investments in green technology. It is critical to comprehend the main lessons in light of the changing environment at the nexus of these dynamic disciplines. These include the necessity of inclusivity, the value of sustainability, and the importance of ethical AI. Adopting these tenets will direct us toward a future marked by continuous progress, convergence of technology, and a flourishing innovation environment.

AI Utilizations in Healthcare: Discovering New Methods for Cancer Treatment and Petroleum Fraud Mitigation Alexandra Harry
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4898

This article explores how artificial intelligence (AI) is revolutionizing two important industries: healthcare and the detection of petroleum fraud. The application of AI technology promises to improve patient care, operational effectiveness, and decision-making as they develop further. Through individualized therapies, increased diagnostic precision, and optimized operations, machine learning and data analytics can transform patient management in the healthcare industry. Examples of such applications are IBM Watson for Oncology, Google Deep Mind’s diagnostic systems, and PathAI. To fully utilize AI in healthcare, issues including algorithmic bias, data privacy, and regulatory compliance must be resolved. Leading firms in the petroleum sector, including Shell, BP, and Equinor, have implemented AI-driven fraud detection systems to monitor supply chains, analyze transaction data, and evaluate risks in order to enhance operational transparency and financial integrity. The industry's security is further improved by the combination of block chain technology and artificial intelligence. Organizations, however, have difficulties with data quality, moral dilemmas, and the requirement for ongoing AI system development. A strong framework centered on data integrity, stakeholder participation, and ethical behaviors is required for the successful application of AI in both industries. Organizations may successfully manage today's problems by adopting interdisciplinary collaboration and learning from case studies, which will ultimately improve patient outcomes, operational integrity, and service delivery. This essay demonstrates the profound effects of AI in a variety of fields and stresses the necessity of responsible and creative uses to promote a more effective, open, and just future.

Synergizing Solar Cell Technology, Radio Waves, AI, Cybersecurity and Business: A Comprehensive Review Alexandra Harry
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5136

This thorough review article reveals the amazing possibilities for innovation, sustainability, and connectedness by examining the revolutionary synergy of solar cell technology, radio waves, artificial intelligence (AI), and business. A new era of possibilities has emerged from the merging of these dynamic sectors, ranging from using AI to optimize solar energy generation to utilizing 5G technology and the Internet of Things (IoT) to revolutionize wireless communication. These technologies' convergence provides an ideal environment for entrepreneurship, as demonstrated by successful examples like Verizon's 5G-enabled smart cities and Sun Power’s AI-enhanced solar panels. Artificial Intelligence (AI) is revolutionizing cybersecurity by enhancing threat detection, prevention, and response capabilities. Leveraging machine learning algorithms and data analytics, AI enables systems to identify vulnerabilities, detect patterns of malicious activities, and mitigate risks in real-time. Although this convergence offers ground-breaking potential, it also brings with it difficult problems. These include the effective management of electromagnetic spectrum, ethical AI concerns, and regulatory difficulties. In order to effectively manage this constantly changing environment, stakeholders need to support international collaboration, STEM education, flexible regulatory frameworks, and interdisciplinary research. To fully realize the revolutionary potential of these technologies, workforce development, incentives for sustainable habits, and sustainable technology research are crucial. In addition, in order to spur innovation in green AI, energy-efficient wireless communication, and renewable energy, governments and organizations need to make investments in green technology. It is critical to comprehend the main lessons in light of the changing environment at the nexus of these dynamic disciplines. These include the necessity of inclusivity, the value of sustainability, and the importance of ethical AI. Adopting these tenets will direct us toward a future marked by continuous progress, convergence of technology, and a flourishing innovation environment.

Unlocking Synergy: Solar Cell Integration with Radio Waves for AI, IT, and Business Advancements Alexandra Harry
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 4 (2023): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i2.3211

Combining radio waves and solar cells is a ground-breaking technological convergence that has significant ramifications for wireless communication, energy production, and a wide range of other uses. This study investigates the underlying concepts, applications, prospects, and challenges of solar cell radio wave integration, covering a broad range of topics. We start with a summary of solar cells and their various uses before delving into the photovoltaic effect, solar cell varieties, and how they power buildings for homes and businesses, solar farms, off-grid systems, and even space exploration. Since their invention, solar cells have advanced significantly, and they are now essential to the world's transition to renewable energy sources. Modern technology relies heavily on radio waves, the unsung heroes of our globalized society. We reveal the role that radio waves play in wireless communication, covering everything from radar systems, satellite communication, and the Internet of Things (IoT) to broadcasting and wireless communication networks. Combining these two technologies results in better energy harvesting, sustainability, wireless device power, energy independence, cost savings, and dependability. Solar cells use radiation from the environment and sunshine. Nevertheless, there are drawbacks to this integration as well, including compatibility, efficiency, cost concerns, and regulatory compliance. The paper then looks at actual case studies that show how solar cell radio wave integration can be implemented successfully. These examples show the many and revolutionary uses of this technology, from off-grid communication and smart building energy efficiency to IoT environmental monitoring in remote locations and solar-powered wearables. We investigate future directions for solar cell radio wave integration advances. These include improved energy harvesting, incorporation into commonplace items, wearable medical and health technology, smart cities and infrastructure, satellite technology and space exploration, environmental monitoring and conservation, emergency response and disaster recovery, and microgrids for energy resilience. Finally, this research shows how solar cell radio wave integration can change the world by revealing its intricate workings. The convergence of these technologies is transforming wireless communication, artificial intelligence (AI), information technology (IT), and corporate operations in addition to altering how we produce and utilize energy. Sustainable, effective, and networked systems have the potential to build a more resilient and sustainable world in the future.

Revolutionizing Healthcare: The Transformative Role of Artificial Intelligence in the Health Sector Alexandra Harry
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Artificial Intelligence (AI) has been altering the healthcare industry by bringing novel solutions for improving patient outcomes, decreasing costs, and enhancing efficiency. Healthcare professionals may now access and analyse enormous amounts of patient data, such as test results, imaging studies, and lab records, with the use of artificial intelligence (AI), in order to spot trends and arrive at more precise diagnoses. Additionally, AI can help with the creation of individualised treatment plans and the foretelling of patients' potential health risks. This essay discusses the possible advantages and difficulties of adopting AI in healthcare while providing an overview of the field. The paper examines the various uses of AI in healthcare, including virtual health assistants, drug discovery, and medical imaging. It addresses issues like data privacy, bias, and transparency as well as ethical and legal issues relating to AI. The case studies in the paper show how AI has been effectively applied in healthcare organizations, highlighting the effects it has on patient outcomes, provider workflows, and cost savings. The final section of the study explores the possibilities for additional innovation and cooperation among business leaders, academics, and politicians, as well as the future of AI in healthcare. By enhancing patient outcomes, lowering costs, and boosting efficiency, AI has the potential to completely transform the healthcare industry. However, for its implementation to be successful, ethical and legal issues must be resolved, and all patients must have access to and equity with regard to AI solutions. We can endeavor to create a healthcare system that is more effective, efficient, and egalitarian by embracing the revolutionary role of AI in healthcare..

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