IJRSML – Vol.12 – 2024
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Ethical Considerations in the Use of Generative AI for Data Security
The rapid advancement of generative artificial intelligence (AI) has raised significant ethical concerns, particularly in the domain of data security. As AI systems become more capable of autonomously generating content, managing sensitive data, and providing security…
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AI-Powered Cybersecurity: A Unified Approach to Protecting Enterprise, Cloud, and SaaS Applications
Varun Grover University of Minnesota Carlson School of Management Minneapolis, Minnesota, US Dr. Shruti Saxena Savitribai Phule Pune University Pune, MH, India Abstract— In the contemporary digital landscape, the security of enterprise, cloud, and Software-as-a-Service…
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Integrating HCM AI Agents into Organizational Culture
The integration of Human Capital Management (HCM) AI agents into organizational culture represents a transformative shift in workforce management. AI-driven HCM solutions enhance talent acquisition, employee engagement, performance evaluation, and workforce analytics by leveraging machine learning,…
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Experimental and Analytical Studies on Solar Distillers
— Solar distillation is a promising and sustainable method for producing freshwater from saline or polluted water, leveraging solar energy for the evaporation and condensation processes. Over the past decade (2015-2024), numerous studies have focused on…
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Scaling Products in the Tech Industry: From Market Entry to Sustainable Growth
Scaling products in the tech industry is a multifaceted process that involves transitioning from market entry to achieving sustainable growth. This journey typically starts with the identification of a viable product-market fit, where businesses must address…
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Blockchain-Enabled Traceability and Transparency: Revolutionizing Supply Chain and Inventory Management
Blockchain technology has emerged as a transformative solution for enhancing traceability and transparency in supply chain and inventory management. Traditional supply chains often struggle with issues such as data inaccuracies, lack of transparency, fraud, and inefficiencies…
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Overcoming Challenges in Agile Adoption: A Coach’s Perspective
Agile methodologies have gained significant traction across various industries due to their promise of improved flexibility, collaboration, and delivery speed. However, many organizations face considerable challenges during Agile adoption, often due to resistance to change, lack…
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MLFlow for End-to-End Machine Learning Model Deployment in Retail Business Operations
The modern retail industry considers the adoption of machine learning models pivotal to enhance operation efficiency, customer satisfaction, and sales optimization. However, the deployment of ML models into production systems is very challenging, especially to manage…
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Zero-Trust Cloud Architecture: Enabling Secure Cloud Automation for Enterprise IT
Zero-Trust Architecture (ZTA) has become a crucial security model in cloud environments due to the increasing complexity of enterprise IT infrastructures and the rising sophistication of cyber threats. Unlike traditional perimeter-based security models, Zero-Trust operates on…
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Data Analytics and Surgical Efficiency: A Case Study on Centralized SaaS Platforms
— The convergence of data analytics and centralized Software as a Service (SaaS) platforms has emerged as a revolutionary force in the healthcare industry, especially in improving surgical effectiveness. In the last decade, various studies have…