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Leveraging Artificial Intelligence for Combating Money Laundering and Enforcing Anti Corruption Strategies: Challenges for Anti Corruption Agencies, Financial Regulators And Recommendations for Future

Money laundering poses a significant threat to the global financial system by enabling illicit activities that affect the economy globally. In recent years, the rise of artificial intelligence (AI) has offered new opportunities to enhance the detection and prevention of money laundering activities. This work of the Author is an attempt to analyze and overview money laundering, highlighting the importance of combatting this criminal activity and exploring the role of AI in addressing this critical issue. The first section explains money laundering and the second section describes the role of AI in detecting the same along with a brief description of the workings of the AI model to detect such instances. The third section gives an overview of anti-corruption efforts in India and the fourth section talks of integration of AI in Anti Corruption Bureaus of India. Subsequently, challenges in implementing AI in Anti Money Laundering (AML) efforts are discussed. The sixth section discusses recommendations for integrating AI in anti-corruption and AML Strategies. Based on the research, the author has concluded that while AML AI is being used extensively in financial institutions, the pace is not the same for the ACBs of the country. Significant progress can be made to develop and integrate AI specifically for AML in governmental institutions.

Published by: Dr Hemant Garg

Author: Dr Hemant Garg

Paper ID: V10I3-1219

Paper Status: published

Published: June 28, 2024

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Research Paper

Blockchain Technology for Social Good

What does our subconscious think of when we hear “Technology”? Well, something futuristic, exciting, or entertaining on the bright side or something destructive for nature and the world on the negative side, but what if there is an emerging technology that can change this prevailing perception and change the world better? Well, this is nothing unknown but what we all have heard of at least once in our lives- blockchain. Yes, you heard that right. It is not just related to cryptocurrency or decentralization, but to something which can change our world forever. Blockchain can act as a digital weapon against many social uneasiness present around us today, like plastic accumulation in landfills, misuse of donations, centralized money system, and much more.

Published by: Harshpreet Kaur, Sanna Jain

Author: Harshpreet Kaur

Paper ID: V10I3-1229

Paper Status: published

Published: June 28, 2024

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Research Paper

Artificial Intelligence in Healthcare Supply Chains: Enhancing Resilience and Reducing Waste

Efficient inventory management is crucial in the healthcare industry to ensure the availability of essential medications and medical supplies while minimizing wastage and reducing costs. This study explores the role of Artificial Intelligence (AI) in optimizing inventory management and enhancing supply chain resilience within healthcare settings. By leveraging AI-driven solutions, healthcare organizations can improve demand forecasting, streamline supply chain operations, and minimize medication waste. Incorporating AI technologies, including machine learning and predictive analytics, allows for more precise demand forecasting, minimizes the chances of both overstocking and stockouts, and enhances overall operational efficiency. The research further examines the theoretical frameworks of Resource-Based View (RBV) and Systems Theory to highlight the strategic and systemic benefits of AI in healthcare inventory management. Empirical evidence from recent studies underscores the potential of AI to transform healthcare supply chains, promoting sustainability and improved patient care. This study employs a survey research design targeting healthcare professionals in the United States, with data analyzed through machine learning algorithms to identify key patterns and insights. Ethical considerations, including data privacy and informed consent, are meticulously adhered to, ensuring the integrity of the research process.

Published by: Olayinka I. Ugwu, Omolola F Hassan, Mariam Adetoun Sanusi, Oduwunmi Odukoya, Tolulope Onasanya, Senjobi Moyinoluwa O.

Author: Olayinka I. Ugwu

Paper ID: V10I3-1222

Paper Status: published

Published: June 26, 2024

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Research Paper

Securing the Future: Implementing a Zero-Trust Framework in U.S. Critical Infrastructure Cybersecurity

This paper examines the growing cyber threats facing the United States' vital infrastructure, particularly those posed by state-sponsored threat actors. It discusses the significant risks these threats pose to economic stability and national security. It highlights the difficulties in protecting U.S. critical infrastructures from the constantly advancing and complex strategies employed by cybercriminals, who take advantage of the fundamental flaws in traditional security models. Furthermore, the paper presents an overview of the cyber threat environment in the United States and explains the strategies, tactics, and fundamental values for implementing Zero Trust security in critical infrastructure sectors. The study underscores the importance of technological solutions, security policies, governance, risk management, and the role of human elements in creating a robust cyberinfrastructure. Adhering to internationally recognized standards such as NIST, ISO/IEC 27001, and OWASP, this framework aims to bolster U.S. cyber defenses against a broad spectrum of cyber threats, thereby enhancing economic stability, national security, and the continuous delivery of critical services. The findings of this research have significant implications for the future of U.S. critical infrastructure security, emphasizing the need for a proactive and comprehensive approach to cybersecurity in the face of evolving threats.

Published by: Ayokunle Akinsanya

Author: Ayokunle Akinsanya

Paper ID: V10I3-1221

Paper Status: published

Published: June 26, 2024

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Review Paper

Review on Nature’s Remedies for Diabetes : Evaluating the Efficacy of a Herbal Powder

Diabetes mellitus (DM) is a metabolic condition of the endocrine system. This Frightening condition is set up in all zones of the world and is turning into a serious hazard to Healthcare providers. Now DM is the most spreading disorder in the world. In the rapidly cultivating World number of treatment options are accessible for the therapy of DM. Multifactorial Disorders, for diabetes elaborate colorful difficulties like hepatic poisoning, retinopathy, and immunodeficiency, etc. many medicinal spices have been used for diabetes mellitus in classical systems of medicament worldwide as they are a Great source of phytochemical components, and numerous of them are known to be effective against diabetes. Medicinal spices with Antidiabetic conditioning are being acceptable to lower side effects and low priced. The efficiency of antihyperglycemic spices is accomplished by raising insulin caching, boosting the absorption of glucose, sparking GLP, and obstructing glucose production. Antidiabetic spices Contain multiple phytochemical Components the single sauce used produces a moderate effect when combined with two nine spices that have different chemical components and pharmacological action producing synergistic effects avoiding repeated dosage and achieving an efficient remedial effect.

Published by: Vaishnavi Narayan Borhade, Waghamare S.U, Prof.Khanage S.G, Kawar Rohini Ramdas, Narode Priyanka Aappasaheb, Wagh Sanskruti Kishan

Author: Vaishnavi Narayan Borhade

Paper ID: V10I3-1215

Paper Status: published

Published: June 24, 2024

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Research Paper

Artificial Intelligence: The Future of Finance

“Artificial intelligence is the new electricity” (Ng). This paper highlights the importance and development of artificial intelligence in finance. It discusses various topics like challenges faced, applications in today’s firms, and more. In a future where intelligent systems drive financial innovation and sustainability; the study highlights the bright possibilities for AI in finance. This study provides insights into the changing relationship between AI and finance through thorough analysis and synthesis, opening the door for more investigation and research on this intriguing topic. This paper examines how artificial intelligence modernizes operations and helps firms maintain a competitive edge in the market.

Published by: Angad Batra

Author: Angad Batra

Paper ID: V10I3-1211

Paper Status: published

Published: June 24, 2024

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