Empowering Marginalised Communities With Cloud Based Legal Platforms DOI

Gargi Sharma,

Bharti Joshi

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 163 - 184

Published: April 4, 2025

Cloud-based legal platforms can transform aid for marginalized communities, according to this chapter. Geography, cost, and social stigma prevent many people from seeking aid. Underserved populations are disproportionately affected by justice gap, which makes it difficult them navigate complex systems assert their rights. Legal service providers overcome these barriers with cloud technology, making services more accessible affordable. Virtual consultations, document submission, case management allow users interact lawyers anywhere, anytime. Marginalised where location or cost traditional services, need flexibility.

Language: Английский

Patenting Cloud-Based AI Inventions Legal and Regulatory Considerations DOI

Vijay Laxmi Sharma,

Anita Yadav,

Amit Kumar Yadav

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 231 - 250

Published: April 4, 2025

The implications of ownership and joint in cloud environments, particularly light multi-tenant systems open-source contributions, are discussed here. There is a focus on the roles that major organizations like United States Patent Trademark Office (USPTO), European (EPO), World Intellectual Property Organization (WIPO) play, as well specific guidelines Union Artificial Intelligence Act executive orders issued by artificial intelligence. Furthermore, chapter highlights critical importance data privacy regulations, such General Data Protection Regulation (GDPR) California Consumer Privacy (CCPA), context patenting cloud-based intelligence inventions. Concerns pertaining to ethics, possibility patent trolls, overlap with trade secret protection some challenges risks associated this rapidly changing environment.

Language: Английский

Citations

0

The Intersection of Consumer Behaviour and Cloud-Driven Online Marketing DOI

B. Lavanya,

A. Jagadish,

Santosh D. Bendigeri

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 417 - 434

Published: April 4, 2025

To better understand the behavioral patterns that customers display while making decisions, this research project examines intersection of online marketing and consumer behavior using data-driven approaches. The study starts with preprocessing data, which entails data transformation techniques to ensure attributes used as input for analysis are relevant clean. This also includes process encoding normalizing a range client attributes, such demographics, internet activity, purchasing patterns. Then, feature selection, Recursive Feature Elimination (RFE) algorithm is used. improve model's performance, identifying features have biggest effects eliminating those not crucial. In study, customer classified Support Vector Machines (SVM), sophisticated classification technique can capture complex non-linear relationships in data. Performance metrics like accuracy precision assess support vector machine (SVM) model.

Language: Английский

Citations

0

Cost Management in Cloud Services for Business DOI

C. Gopalakrishnan,

S Vinoth,

Geeti Sharma

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 84

Published: April 4, 2025

The critical function that cost management plays in cloud computing for modern businesses, with an emphasis on the requirement efficient strategies to maximize operational efficiency and minimize expenses. As more businesses move their operations cloud, becomes increasingly important preventing excessive spending ensuring organization's continued financial viability. There are a number of strategies, one which is utilization monitoring optimization tools produce real-time insights into resources. This highlights significance auto-scaling scheduled resource shutdowns order dynamically manage resources accordance demand, thereby reducing expenditures not particularly necessary.

Language: Английский

Citations

0

Economic Policy Optimization Powered by Advanced AI-Driven Business Intelligence Tools DOI

T. Umapathy,

Ganesh Sai Kopparthi,

Radhakrishnan Govindan

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 145 - 162

Published: April 4, 2025

Economic policy optimization requires accurate forecasting and data-driven decision-making to navigate complex financial situations. This research combines predictive analytics machine learning models analyse historical economic data project future trends using AI-driven forecasting. The suggested approach uses time series (ARIMA, LSTMs) ensemble techniques increase the accuracy of macroeconomic forecasts, including GDP growth, inflation rates, labor market dynamics. Additionally, AI-powered process real-time indicators dynamically adjust recommendations in response global fluctuations. improves fiscal stability reduces uncertainty by facilitating proactive planning. By integrating projections into Business Intelligence (BI) dashboards, which provide decision-makers with interactive, information, efficacy strategies is further enhanced. In order ensure governance a economy that always evolving.

Language: Английский

Citations

0

Empowering Marginalised Communities With Cloud Based Legal Platforms DOI

Gargi Sharma,

Bharti Joshi

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 163 - 184

Published: April 4, 2025

Cloud-based legal platforms can transform aid for marginalized communities, according to this chapter. Geography, cost, and social stigma prevent many people from seeking aid. Underserved populations are disproportionately affected by justice gap, which makes it difficult them navigate complex systems assert their rights. Legal service providers overcome these barriers with cloud technology, making services more accessible affordable. Virtual consultations, document submission, case management allow users interact lawyers anywhere, anytime. Marginalised where location or cost traditional services, need flexibility.

Language: Английский

Citations

0