Daily Archives: January 9, 2024

Green Cloud Computing: A Framework for Sustainable and Efficient Cloud Infrastructure
Authors:- Professor Dr. Angajala Srinivasa Rao, Professor Dr. Sudheer Pullagura

Abstract-As the demand for cloud computing services continues to soar, concerns about its environmental impact have become more pronounced. This research-oriented descriptive article aims to address this issue by proposing a comprehensive framework for Green Cloud Computing. The framework focuses on minimizing the environmental footprint of cloud computing by optimizing energy consumption and resource usage. Through an exploration of key principles, challenges, and real-world applications, this article provides insights into building a sustainable and efficient cloud infrastructure. Keywords, relevant studies, and references are included to serve as a valuable resource for researchers and practitioners in the field.

DOI: 10.61137/ijsret.vol.9.issue6.120

Published by: vikaspatanker

A Study to Know – Use of AI For Personalized Recommendation, Streaming Optimization, and Original Content Production at Netflix
Authors:-Komal Khandelwal, Sarvanaman Patel, Jarni Patel, Monika Pnachal

Abstract-Netflix has become a household name in the entertainment industry due to its innovative use of data science and artificial intelligence (AI) in its business strategy. This paper provides a comprehensive overview of how Netflix has leveraged data science to gain a competitive edge in the industry. The paper explores how Netflix uses personalized recommendations to enhance the user experience. Netflix’s recommendation system is powered by a collaborative filtering algorithm that analyses user data, such as viewing history and ratings, to suggest content that is likely to be of interest to the user. The recommendation system is continuously improved through machine learning algorithms, which learn from user behaviour and preferences to provide more accurate recommendations. The paper also discusses how Netflix uses streaming optimization to deliver high-quality video content to its users. Netflix’s AI-powered encoding system analyses each video and optimizes the encoding process to reduce file size without compromising video quality. This enables Netflix to deliver high-quality video content with minimal buffering time, even in areas with slow internet connectivity.Another aspect of Netflix’s success is its production of original content. Netflix uses data science to identify gaps in the market and understand audience preferences, enabling it to produce highly engaging original content. The company uses machine learning algorithms to analyse viewer data and identify trends and patterns that inform its content creation strategy.However, implementing data science in the entertainment industry comes with its challenges and limitations. Netflix faces issues such as bias in the recommendation system, privacy concerns, and the high cost of producing original content. Nevertheless, Netflix continues to invest in data science and AI to improve its services and stay ahead of its competitors. This paper provides a comprehensive understanding of how Netflix has implemented creative data science and AI in its business strategy to become a leader in the entertainment industry. The paper highlights the importance of personalized recommendations, streaming optimization, and original content production in Netflix’s success. It also emphasizes the challenges and limitations of using data science in the entertainment industry and the need for continuous improvement and innovation.

DOI: 10.61137/ijsret.vol.9.issue6.119

Published by: vikaspatanker

To What Extent Does Consumer Awareness Influence the Preferences of Individuals Towards Neo Banks in The Indian Banking Sector?
Authors:- Ansuman Ray, Ashish Singh, Nishtha Rastogi, Aanchal Agrawal

Abstract- This study investigates the landscape of neo banks in India, focusing on consumer awareness and preferences within the evolving digital banking sector. Acknowledging the global significance of neo banks and the transformative impact they pose to traditional banking, the research addresses a notable gap by examining their adoption in the Indian context. The study explores factors influencing consumer behavior, including convenience, efficiency, trust, and the integration of financial technologies. Employing a comprehensive research methodology, encompassing surveys, interviews, and demographic considerations, the research aims to provide nuanced insights into how neo banks are reshaping the banking experience for Indian consumers. By bridging global insights with specific Indian market nuances, the study contributes to both academic and practical understanding, informing strategies in the banking and fintech industry to better align with the preferences of Indian consumers in the digital era.

DOI: 10.61137/ijsret.vol.9.issue6.118

Published by: vikaspatanker