Cloud-based platforms have greatly simplified the training and deployment of machine learning models. Yet, the ease of use of these platforms has come at the cost of limited visibility into the operational mechanisms of the system. This research seeks to address the issue of balancing ease of use with the need to have a better insight into the operation of the systems. In this research, we have carried out a structured comparative evaluation of the ease of use of the Amazon SageMaker platform, as well as an enhanced version of the platform with better observability. The ease of use of the two configurations was evaluated based on four different parameters, namely the granularity of the logs, the ease of access of the metrics, the ability to respond to alerts, as well as the ease of diagnosis of faults. Through the analysis of the configurations, the enhanced version of the platform was found to have better ease of use without a proportional increase in the cost of operation.

This study explores the mental health challenges faced by employees working in remote startup teams. With the growing adoption of remote work models in startup environments, concerns regarding employee wellbeing, work-life balance, and organizational support have become increasingly significant. The primary objectives of the study were to analyze mental health challenges in remote startup teams, examine the impact of remote work on work-life balance, study the relationship between organizational support and employee wellbeing, and suggest strategies to improve mental health in such environments. The research adopted a descriptive methodology, and primary data was collected through a structured questionnaire administered to employees working in remote startup settings. The collected data was analyzed using percentage method and presented in tabular and graphical forms for interpretation. The findings reveal that a considerable proportion of respondents experience stress, burnout, sleep disturbances, and feelings of isolation. A majority reported difficulty disconnecting from work, indicating poor work-life balance, while many also perceived limited organizational support and discomfort in discussing mental health concerns. The study concludes that although remote work offers flexibility and productivity benefits, it also contributes to psychological strain in startup environments. Practical measures such as structured work schedules, right to disconnect policies, improved communication, and greater mental health awareness are recommended to enhance employee wellbeing and ensure sustainable organizational growth.

The ADHD awareness ecosystem in India is undergoing a transformative shift, yet significant gaps remain in recognition, diagnosis, and structured support systems. Our research aims to identify systemic gaps in ADHD awareness while addressing challenges faced by awareness-driven startups and existing remedial frameworks. The study focuses on understanding lack of awareness, social stigma, misconceptions, shortage of proper facilities, and privacy concerns within society. It also proposes practical solutions to strengthen ADHD screening, early identification, and access to appropriate treatment in India. The research is descriptive in nature and is based on primary data collected through structured questionnaires and interviews from 107 respondents in the KDMC region. A purposive sampling technique was employed for the proposed research. Collected data were analyzed using both quantitative and qualitative methods. The current study also suggests an innovative model to enhance ADHD awareness, improve screening mechanisms, and promote accessible treatment support systems.

Artificial Intelligence (AI) is rapidly transforming financial systems across the globe, particularly in emerging markets where traditional risk assessment methods often fail due to data limitations and market volatility. This study examines the role of AI-based financial risk prediction models in improving decision-making, enhancing credit evaluation, and minimizing investment uncertainty in developing economies. The research explores how machine learning algorithms, predictive analytics, and big data integration contribute to identifying potential financial risks such as credit defaults, market fluctuations, and fraud detection. Emerging markets often face challenges such as inconsistent financial records, lack of transparency, and dynamic regulatory environments, making AI-driven solutions highly relevant. The study highlights the effectiveness of AI in improving forecasting accuracy, reducing human bias, and enabling proactive risk management. However, it also considers limitations such as data privacy concerns and technological barriers. The findings suggest that AI-based risk prediction systems can significantly strengthen financial stability and support sustainable economic growth in emerging markets.

The HR system had gone through multiple stages of evolution as it first started as fully manual process then it developed itself and easied E-documentation process by introducing tools like hris erp, etc reducing workload and improving efficiency among the employees. Even with such advancement in HR technologies companies still require more use of HR intelligence system. Our study help to understand the advantages of HR technologies and also understanding the limitation where we can adopt more technology This study aims to analyze how information system operates systematically within the human resource department of an organization. It also tries to understand how intelligent HR systems optimize the use of various resources such as human capital, financial resources, and technological tools. Additionally, the study focuses on analyzing the processes, policies, and structured framework involved in organizational development systems.

Artificial Intelligence (AI) has emerged as one of the most transformative technologies in modern business operations, particularly in the accounting profession. AI enables automation of repetitive tasks, improves accuracy, enhances data analysis, and supports decision-making processes in financial management. The integration of AI tools in accounting systems helps organisations reduce human error, increase efficiency, and improve financial reporting. This research study examines the role of Artificial Intelligence in the accounting system and its impact on accounting professionals and organisations. The study also explores how accountants and finance professionals perceive AI adoption in their work environment. A survey of 30 respondents in accounting and finance roles was conducted to understand their awareness, use, and impact of AI technologies in accounting. The findings suggest that AI significantly improves efficiency in accounting operations, enhances financial accuracy, and helps accountants focus on strategic decision-making rather than routine tasks. However, concerns about job displacement, technological adaptation, and skill development remain. The study highlights that the future of accounting will involve collaboration between human accountants and AI-powered technologies.

In recent year digital technologies have changed the way financial services are delivered across the world. Many underserved communities, especially rural, low-income, and less-educated people, still face difficulties in accessing financial services due to illiteracy and lack of awareness. This study aims to examine how Fintech solutions promote financial inclusion and empower underserved communities. The research study is based on secondary data collected from research articles, reports, and journals. The analysis shows that Fintech improves accessibility, reduces transaction costs, increases financial awareness, and enhances financial participation. Fintech services such as mobile banking, digital payments and online lending platforms have made financial services more accessible, affordable and convenient for people who were previously excluded from the formal financial system. It also shows how digital technology helps reduce financial inequality and allows more people to participate in economic activities. The study shows that Fintech plays an important role in achieving inclusive economic growth.