Independent Researcher i

The integration of Artificial Intelligence (AI) and Augmented Reality (AR) has significantly influenced the evolution of consumer experiences within omnichannel retail environments by 2022. This paper investigates how AI and AR, individually and synergistically, enhance personalization, engagement, and satisfaction in retail contexts. Through a com...

The rapid advancement of artificial intelligence (AI) technologies has ushered in unprecedented opportunities and risks across public and private sectors. In 2022, society grappled with ethical dilemmas, regulatory uncertainties, and the broader societal impacts of deploying AI at scale. This paper explores the multifaceted ethical considerations,...

The evolution of Artificial Intelligence (AI) technologies has profoundly influenced decision-making processes in complex systems across industries. This study examines the historical development of AI, evaluates its integration into complex systems, and analyzes its implications for decision-making as of 2022. A comprehensive literature review hig...

As businesses increasingly embrace digital transformation, the demand for seamless and intelligent omnichannel support systems has grown exponentially. Machine Learning (ML) architectures offer transformative potential by enabling real-time decision-making, personalization, and automation across various customer touchpoints. This paper explores the...

Artificial Intelligence (AI) is transforming the banking sector by automating services, enhancing risk management, improving customer experiences, and detecting fraud. However, the efficacy of AI models is fundamentally reliant on data quality and management strategies. This paper explores optimized data management practices to enhance the performa...

Edge-integrated cloud computing has emerged as a vital architecture for real-time analytics in smart infrastructure, healthcare, and industrial monitoring systems. However, managing streaming analytics across geographically dispersed and heterogeneous edge-cloud nodes presents new challenges. This research proposes a dynamic orchestration model tha...

The financial services sector has witnessed massive technological disruption, with fintech and artificial intelligence (AI) at the forefront. As of 2022, traditional banking institutions are experiencing intensified competitive pressure to transform legacy business models and enhance customer engagement through digitization. This paper explores how...

The proliferation of distributed service ecosystems, encompassing edge computing, Internet of Things (IoT), and 6G networks, necessitates advanced orchestration of neural networks to enhance operational intelligence. This paper explores the evolution of neural network orchestration within these ecosystems, highlighting the transition from centraliz...

The exponential growth of data in cloud-based systems, coupled with rising concerns about data privacy, has spurred the demand for secure, privacy-preserving analytical methods. This paper proposes a federated cloud framework integrating Differential Privacy (DP) and Secure Multi-Party Computation (SMPC) into analytical pipelines. The approach enab...

Public health surveillance has become increasingly reliant on large-scale data sources, especially in the wake of global pandemics like COVID-19. This paper proposes a novel framework integrating knowledge graphs with AI-driven pattern recognition to facilitate real-time monitoring and decision-making from multi-source health records. Our approach...

Blockchain technologies and decentralized finance (DeFi) are reshaping the financial industry by introducing innovative methods for risk management and regulatory compliance. This paper investigates how these disruptive technologies influence the traditional banking sector's regulatory landscape, operational risks, and compliance frameworks. Using...

The advent of big data technologies and predictive modeling has fundamentally reshaped how smart urban infrastructure operates. This paper investigates how big data-driven predictive models enhance the operational efficiency of urban networks including transportation, energy, waste management, and water distribution. By analyzing recent development...

Modern enterprises are increasingly turning to deep learning (DL) and context-aware technologies to personalize customer engagement at scale. This paper investigates the integration of deep learning infrastructures within customer engagement platforms and their quantifiable impact on organizational efficiency. Drawing upon recent empirical studies...

The early prediction of comorbid diseases is a critical challenge in healthcare, especially given the increasing complexity and heterogeneity of electronic health records (EHRs). This paper proposes an integrative deep learning framework that utilizes longitudinal multimodal healthcare data—including clinical, genomic, imaging, and demographic data...

The integration of AI-driven IoT data analytics in smart transportation systems has gained significant momentum, promising enhanced operational efficiency and optimized decision-making processes. This study assesses the impact of AI-enabled data analytics frameworks on transportation systems, focusing on predictive maintenance, anomaly detection, a...

Personalized medicine relies on processing sensitive patient data for timely and accurate clinical decision support. However, traditional centralized models of data aggregation pose serious privacy threats and regulatory hurdles. This paper proposes a hybrid privacy-preserving architecture integrating Federated Learning (FL) and Homomorphic Encrypt...

In the age of massive data generation, traditional centralized data processing frameworks are increasingly inadequate to meet the demands of real-time analytics. This paper presents a scalable architecture that integrates distributed machine learning (DML) with edge computing for big data analytics, targeting real-time decision support systems (DSS...

This white paper investigates the future compatibility of AI-powered web components with the well-known JavaScript user interface toolkit ReactJS. It looks at the state of online development, the challenges of incorporating AI into web projects, and the possibility that ReactJS may be a useful framework for developing web components using AI. This...

With the continuous development of the modernization needs of education, the pure online or offline teaching mode can no longer fully meet the educational needs, and the online-offline integration teaching mode based on digital twin comes into being. Based on Bloom's taxonomy, this study constructs an online-offline fusion teaching model from the d...

The integration of Artificial Intelligence (AI) with human-centric design principles is redefining the development of autonomous support systems across diverse domains. As these systems transition from rule-based automation to adaptive, context-aware intelligence, ensuring usability, trust, and safety through design becomes paramount. This paper ex...

In environments characterized by high temporal complexity and incomplete information, effective policy optimization becomes a core challenge in multi-agent systems. This paper investigates the use of Multi-Agent Deep Reinforcement Learning (MADRL) under conditions of partial observability, where agents must learn to act based only on local and nois...

In modern enterprise ecosystems, real-time decision-making is a strategic imperative driven by increasingly complex and dynamic operational contexts. Cognitive computing—rooted in AI, machine learning, and natural language processing—offers transformative potential to augment decision support systems. This paper explores a structured framework for...

This CB-SEM quantitative study successfully models respondent perceive digital competencies and digital capabilities as components negatively impacting iFintech adoption readiness in and around Pakistan's capital city of Islamabad. The discussion and conclusion section suggests how this study elucidates the situation, and how it's findings may be s...

Plants have been central to the Indian knowledge system for millennia, encompassing diverse domains such as medicine, spirituality, agriculture, and ecological balance. Rooted in ancient texts like the Vedas, Ayurveda, and Upanishads, India's understanding of plants demonstrates a profound connection between human life and the natural world. India'...

It can be as challenging to select the right tools as it is to stay current with your field's research. We'll look at a few tools in this article that can help you stay organized, keep track of influential researchers in the field, and increase awareness of what's being researched right now.

This literature review explores the complex interplay between personalization and privacy in the context of data-driven recommendations across three key sectors: finance, e-commerce, and healthcare. The study examines how these industries leverage artificial intelligence (AI) and big data to deliver personalized experiences while navigating the cri...

In recent years, the application of advanced algorithmic approaches to data-driven optimization has garnered significant attention in the field of marketing analytics. This paper explores how these approaches enhance strategic decision-making processes by leveraging large-scale data. By integrating machine learning models, artificial intelligence (...

Energy efficiency is a critical component of sustainable development, particularly in arid zones where high temperatures, limited water resources, and reliance on fossil fuels amplify energy demands. This study investigates the economic and technical aspects of energy efficiency in Bechar, Algeria, presenting it as a model for addressing energy cha...

One of the foremost challenges confronting healthcare companies today is the dual objective of reducing the cost of care while enhancing healthcare quality for patients. The term "cost of care" refers to the expenses incurred by healthcare insurance companies in managing a patient's health. A prevalent factor exacerbating these costs is the "fee-fo...

The importance of human-in-the-loop techniques in advanced driver assistance systems (ADAS) for establishing and preserving driver trust is examined in this article. It provides a thorough examination of shared control paradigms in fully autonomous and semi-autonomous cars, emphasizing how carefully incorporating human oversight improves user confi...

The higher education sector, still recovering from the effects of the global pandemic, now faces additional challenges posed by the rapid advancement of Artificial Intelligence (AI) technologies. These AI systems possess the capability to generate high-quality text, images, music, and coding solutions within seconds in response to user prompts. One...

This article presents a comprehensive analysis of artificial intelligence integration in modern Data Center operations, focusing on its transformative impact on operational Venkata Sampath Kumar Mutharaju https://iaeme.com/Home/journal/IJARET 111 editor@iaeme.com efficiency, sustainability, and regulatory compliance. The article examines the implem...

This article explores the critical intersection of artificial intelligence (AI) adoption and security, highlighting both the transformative potential of AI technologies and the significant security challenges they present. The AI systems will become increasingly prevalent across industries, as they offer unprecedented capabilities in data analysis,...

This article presents a novel approach to detecting anomalies in Data Center infrastructure by combining autoencoder neural networks with Principal Component Analysis (PCA) for multivariate time-series data. The proposed framework addresses the challenges of detecting complex temporal patterns across multiple infrastructure metrics while maintainin...

The convergence of quantum computing and artificial intelligence marks a pivotal transformation in computational technology, promising to revolutionize how we process information and solve complex problems. This comprehensive article explores the evolution of language models, industry leadership in AI development, and the quantum computing revoluti...

This article explores the transformative impact of Guidewire Cloud's low-code development capabilities on insurance software customization. As insurance carriers face increasing pressure to adapt quickly to market changes and customer demands, traditional development approaches often prove too slow and resource-intensive. Guidewire's low-code platf...

Accurate patient identity resolution across disparate healthcare systems is a significant challenge due to the absence of a universal patient identifier. This fragmentation hampers cohesive patient care and poses obstacles to effective data exchange. Beyond healthcare, industries employing Customer Data Platforms (CDPs) face analogous issues in uni...

This article provides a comprehensive analysis of Accounting Information Systems (AISs) and Enterprise Resource Planning (ERPs) systems, focusing on their current state, evolution, and future challenges in handling big data. The article compares the features, integration capabilities, and scalability of AISs and ERPs, examining their roles in moder...

This article presents a comprehensive analysis of enterprise integration strategies combining Oracle SOA Suite with microservices architecture, specifically focusing on financial system implementations. The article examines the challenges and solutions in orchestrating complex workflows across heterogeneous systems while maintaining security compli...

This article explores the transformative role of Artificial Intelligence in modernizing legacy mainframe systems within enterprise environments. As organizations face increasing pressure to evolve their critical infrastructure while maintaining operational continuity, AI technologies emerge as pivotal solutions in addressing modernization challenge...

This article explores the transformative impact of Customer Relationship Management (CRM) automation on pharmaceutical patient support programs and healthcare delivery systems. Through analysis of implementation case studies and Jaymin Harishkumar Sutarwala https://iaeme.com/Home/journal/IJCET 3573 editor@iaeme.com industry data, we investigate how...

This article explores the transformative role of artificial intelligence in regulatory compliance across the technology sector, with a particular focus on automating legal enforcement mechanisms. The article examines how AI technologies are revolutionizing traditional compliance approaches through sophisticated machine learning models, AI-Driven Re...

This study explores the key factors that shape both positive and negative employee experiences (EX) in large organizations, emphasizing the critical roles of culture, technology, and the physical environment. This study aims to identify the cultural, technological, and physical factors most relevant to fostering employee engagement, satisfaction, a...

The use of artificial intelligence has presented the world with the generation of synthetic data, transforming the world's approach in handling critical data challenges in relation to privacy, availability, and reduction of bias. This article explores the manner in which synthetic data technologies revolutionize all aspects of health, financial ser...

Scalable machine learning pipelines are fundamental to modern personalization systems, yet implementing them efficiently at scale remains challenging. This article presents novel architectural patterns for high-volume personalization systems, introducing a unified approach that achieves sub-100 ms latency at the 99th percentile while processing bil...

This article presents an innovative approach to enhancing data analytics by integrating Retrieval-Augmented Generation (RAG) workloads into traditional analytics pipelines. The article introduces a comprehensive framework that combines advanced retrieval mechanisms utilizing vector search and embedding models, Enhancing Data Analytics with Retrieva...

The insurance industry is experiencing transformative changes through artificial intelligence integration in quality assurance processes. This technological revolution addresses critical challenges in legacy system integration, regulatory compliance, and workflow automation while introducing innovative solutions for enhanced efficiency. Ashwin Chou...

This comprehensive article explores the evolution and current state of DevOps engineering, examining its transformation from a conceptual framework to an essential practice in modern software development. It investigates how the integration of cloud computing has catalyzed DevOps adoption, enabling organizations to achieve superior deployment capab...

The digital transformation has fundamentally reshaped data protection strategies, particularly concerning personally identifiable information (PII) in enterprise systems. Organizations face increasing challenges in safeguarding sensitive data amid evolving cyber threats and regulatory requirements. Traditional security measures prove inadequate aga...

The integration of Product Lifecycle Management (PLM) and Manufacturing Execution Systems (MES) represents a transformative approach in smart manufacturing, enabling closed-loop manufacturing processes through seamless data flow between design and production. This comprehensive article explores the implementation strategies, technological enablers,...

This research aims at exploring the usage of machine learning (ML) in the DevOps methodology as means of improve health care patient data management systems. As the volume and growing variability of health care data have escalated, conventional approaches to data management have proven inadequate and error-prone. Incorporating ML models into Contin...

Data mesh architecture represents a paradigm shift in enterprise data management, offering organizations a revolutionary approach to handling complex data landscapes through decentralized ownership and domain-driven design. This article examines how data mesh addresses the limitations of traditional monolithic architectures by introducing principle...

This comprehensive technical guide examines the integration of SAP FICO (Financial Accounting and Controlling) within enterprise resource planning implementations. The article analyzes the critical aspects of successful FICO integration across multiple implementation phases, from initial analysis through testing and deployment. The article draws up...

This comprehensive technical article explores the evolution and fundamental aspects of cloud infrastructure in modern software systems. The article examines the core building blocks, including virtualization, containerization, and Infrastructure as Code (IaC), while analyzing their impact on organizational efficiency and scalability. The article de...

Critical Illness insurance has undergone significant transformation driven by technological advancements, demographic shifts, and evolving healthcare needs. This comprehensive article examines the evolution from traditional frameworks to modern innovations in CI insurance, highlighting the integration of precision medicine, Venkata Bhanuprasad Anan...

Hybrid infrastructure deployment emerges as a critical solution for managing the Total Cost of Ownership (TCO) of artificial intelligence initiatives across organizations. The exponential growth in AI adoption has created complex challenges in balancing infrastructure costs with performance requirements. Organizations implementing hybrid architectu...

SKILL coding has revolutionized analog layout design automation by bridging the gap between manual craftsmanship and computational efficiency. The integration of SKILL-based automation with human expertise offers sophisticated solutions for addressing complex challenges in advanced technology nodes, particularly in managing layout-dependent effects...

This article presents a comprehensive framework for implementing AI-driven predictive maintenance in cloud infrastructure supporting microservices architecture. Bhaskara Garnimitta https://iaeme.com/Home/journal/IJCET 2756 editor@iaeme.com The proposed approach leverages machine learning algorithms to analyze infrastructure metrics, including CPU u...

This comprehensive technical article examines Salesforce's framework for responsible AI implementation, focusing on the architectural components, development methodologies, and best practices that enable organizations to deploy ethical AI solutions. The article explores the Einstein AI Trust Layer's role in ensuring data security and privacy, discu...

Cloud computing has emerged as a transformative force in the health insurance industry, revolutionizing traditional operational models and service delivery mechanisms. The integration of cloud technologies has fundamentally altered claims processing, data analytics, interoperability, and security frameworks across the healthcare sector. From stream...

Azure Backup's integration with SAP HANA databases represents a transformative advancement in enterprise data protection strategies. The platform delivers robust backup capabilities through native SAP-certified Backint implementation, ensuring seamless operations across distributed systems. Through zero-infrastructure requirements and automated man...

Quantum computing represents a revolutionary paradigm in computational technology, promising to transform this article's approach to solving complex problems across various domains. This comprehensive article explores the fundamental principles, recent breakthroughs, and future prospects of quantum computing technology. The article examines the cor...

The rapid evolution of software delivery pipelines has necessitated the adoption of agile and DevOps practices. However, ensuring consistent software quality and compliance with regulatory standards in this accelerated environment remains a significant challenge. This paper proposes a holistic framework that integrates DevOps methodologies with aut...

This comprehensive article explores the evolution and implementation of transactional data lakes as a revolutionary solution to modern enterprise data management challenges. The article examines how organizations are adapting to handle exponentially growing data volumes while maintaining data integrity and enabling real-time analytics. It provides...

This article explores the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on SAP Basis administration, a critical component of enterprise resource planning systems. It examines three key areas where AI and ML revolutionize SAP management: predictive system maintenance, performance optimization, and task automation. T...

The Merative Cúram platform plays a vital role in government health and human services programs, yet navigating its complexities presents challenges for both citizens and caseworkers. This article introduces an AI-powered chatbot solution designed for the Citizen Engagement Portal and Caseworker Portal, aimed at optimizing service delivery, reducin...

The convergence of the Industrial Internet of Things (IIoT) with artificial intelligence has created unprecedented opportunities for real-time process optimization, yet manufacturers face significant challenges in processing and analyzing high-dimensional sensor data for immediate decision-making. This article presents an innovative cloud-based Ind...

This article provides a comprehensive analysis of advanced model observability techniques, focusing on two leading platforms: Evidently AI and Arthur AI. The article examines the critical need for robust monitoring in production machine learning systems, where models face dynamic environments and evolving data distributions. Through detailed case s...

Network Function Virtualization (NFV) at the Edge represents a transformative advancement in modern network architecture, combining virtualization flexibility with edge computing advantages. This comprehensive analysis explores the evolution, implementation, and future prospects of NFV at the edge, examining its core components, benefits, and techn...

This technical article examines the comparative capabilities of Snowflake and Azure Databricks in supporting large-scale machine learning workloads within data warehouse environments. The article evaluates both platforms across multiple dimensions, including infrastructure architecture, development environments, model training capabilities, and dep...

The research proposes a study of healthcare IT structures implementing AI-Predictive Maintenance with DevOps Implementation because of limited downtime, workload reliability, and cost. Through the use of cases and a review of real-world applications, the study outlines how the AI algorithms flag areas of failure for correction before they occur and...

This report delves into the extensive research conducted on cloud migration and its implications in modern technology, specifically focusing on the migration to Amazon Web Services (AWS). As an expert in IT infrastructure management and DevOps practices, I explore the detailed processes of both simple and complex cloud migrations, highlighting the...

Integrating artificial intelligence in Salesforce test automation represents a transformative shift in quality assurance practices. As organizations grapple with increasingly complex Salesforce implementations, traditional testing approaches face significant challenges in managing dynamic elements, maintaining test scripts, and ensuring comprehensi...

This article examines the evolving landscape of test automation practices within enterprise environments, specifically focusing on the intersection of Agile and DevOps methodologies. Through extensive analysis of enterprise case studies and industry practices, this article investigates how large organizations implement and maintain test automation...

In the digital age, the development of Governance, Risk, and Compliance (GRC) solutions signifies a dramatic shift in how businesses handle risk issues and regulatory obligations. This in-depth article examines the significant trends, technological developments, and prospects of the GRC software business. The article explores the expanding use of c...

The revolutionary effects of machine learning and artificial intelligence technologies on network security are examined in this thorough article. The article looks at how threat detection, prevention, and response processes across organizational cybersecurity frameworks are being revolutionized by these cutting-edge technologies. It examines existi...

The rapid evolution of 5G networks demands advanced architectural enhancements to support ultra-low latency applications. Cloud-native architectures, coupled with intelligent automation and Software-Defined Networking (SDN), play a crucial role in meeting these stringent requirements. This paper explores the integration of SDN and automation within...

This comprehensive analysis explores the architectural frameworks, implementation methodologies, and technical challenges of Natural Language Processing systems within financial technology applications. The study examines the evolution of NLP technologies in finance, focusing on core system architectures, integration patterns, and emerging developm...

Digital transformation is revolutionizing customer service within the waste management industry, marking a significant shift from traditional call centers to AI-driven solutions. This article examines how artificial intelligence, automation, and self-service portals are reshaping client interactions in waste management operations. Through analysis...

This comprehensive article explores the transformation of Identity and Access Management (IAM) systems through cloud-native microservices architecture, addressing the evolving demands of modern enterprise environments. The article examines the shift from monolithic to microservices-based IAM implementations, Arun Ganapathi https://iaeme.com/Home/jo...

This technical article explores the transformative evolution of Customer Relationship Management (CRM) systems, examining their progression from traditional database-driven platforms to sophisticated, AI-enabled ecosystems. It investigates key technological advancements including artificial intelligence and machine learning integration, omnichannel...

Modern manufacturing organizations face unprecedented challenges in managing Governance, Risk, and Compliance (GRC) processes across complex global operations. This technical article presents a comprehensive framework for implementing automated GRC systems within manufacturing environments, addressing the critical integration points with existing e...

A comprehensive understanding of storage solutions is crucial in today's cloud-driven ecosystem, particularly when optimizing for diverse workloads including AI training and inference operations. This article presents a detailed comparative analysis of Object-Based Storage (OBS) and Block Storage, examining their architectural differences, performa...

This comprehensive article examines artificial intelligence agents' evolution and current state, analyzing their progression from simple reactive systems to sophisticated utility-based architectures. The article systematically analyzes modern AI agent frameworks, exploring the fundamental components that enable autonomous decision-making, including...

Cloud security has become a critical concern as organizations increasingly migrate their operations to cloud environments. This comprehensive article explores the evolving landscape of cloud security, examining the shared responsibility model between cloud providers and customers. The article investigates essential security measures, including encr...

Digital transformation is revolutionizing customer service within the waste management industry, marking a significant shift from traditional call centers to AI-driven solutions. This article examines how artificial intelligence, automation, and self-service portals are reshaping client interactions in waste management operations. Through analysis...

This article explores the evolving landscape of on-premise big data infrastructure, focusing on the crucial balance between data sovereignty and performance optimization. It examines the transformation of data processing capabilities from traditional batch systems to modern real-time frameworks, highlighting the growing importance of data governanc...

This article examines the evolving landscape of data and AI governance, focusing on privacy, compliance, and trust in contemporary organizational environments. It explores recent advancements in privacy-preserving technologies, including federated learning and homomorphic encryption, while analyzing the implementation challenges organizations face...

Digital twin technology represents a transformative approach to manufacturing process optimization, yet its integration with enterprise architecture for real-time decision support remains a significant challenge. This article presents a comprehensive framework for implementing digital twins in smart manufacturing environments, with particular empha...

Artificial Intelligence (AI) is revolutionizing precision medicine by enhancing disease diagnosis and enabling personalized treatment strategies. AI-driven predictive analytics leverage vast amounts of clinical, genetic, and imaging data to provide more accurate and timely diagnoses. This paper systematically evaluates the role of AI in precision m...

Adopting hybrid cloud architectures has fundamentally transformed enterprise IT infrastructure, enabling organizations to create dynamic and resilient systems that leverage cloud-based and on-premises infrastructure. This comprehensive article explores the evolution of hybrid cloud implementations, examining core infrastructure components, key arch...

SAP Datasphere, formerly SAP Data Warehouse Cloud, has emerged as a transformative solution in agricultural retail, particularly precision farming and crop management. This comprehensive article integrates cloud computing, IoT sensors, artificial intelligence, and machine learning to revolutionize traditional farming practices. The article enables...

This comprehensive article explores the transformative impact of hyperautomation in modern enterprise environments, focusing on its integration with cloud technologies and artificial intelligence. The article examines how hyperautomation revolutionizes workflow automation through the convergence of various technologies, including Artificial Intelli...

The paper introduces a novel system called the "Water Cleaning Mechanism," which is specifically designed to efficiently remove floating solid waste from river surfaces. The system is motivated by the need for a more effective and eco-friendly solution to the problem of river pollution, which is often caused by the accumulation of plastic, debris,...

The dynamic nature of software engineering and information technology (IT) systems has amplified the significance of cybersecurity risk management. This paper explores a holistic framework that integrates technical, managerial, and organizational measures to address cybersecurity risks. Emphasizing proactive and reactive strategies, the proposed ap...

Blockchain technology has emerged as a transformative tool for addressing the inefficiencies and vulnerabilities in healthcare data management. This paper explores blockchain's integration into healthcare information systems, emphasizing its potential to enhance data security, interoperability, and patient privacy. Through a review of literature an...

Cyber hygiene, a practice used by companies to enable them to enact appropriate cyber security measures, is a crucial aspect of organizational security. Its critical components include having a solid password, regular updates, and data backup and recovery. The approach to cyber hygiene provides a remarkable capacity to reduce cyber threat risks, wh...

In recent years, the field of machine learning has advanced significantly, with novel techniques emerging to optimize embeddings for improved retrieval performance in large-scale systems. This paper explores state-of-the-art methods that leverage advanced neural architectures, optimization algorithms, and hybrid techniques to enhance embeddings and...

Smart cities leverage vast amounts of data to enhance urban services, improve infrastructure, and optimize resource management. However, the collection and sharing of such data raise significant privacy concerns. This paper explores privacy-preserving techniques that can be integrated into data-sharing platforms for smart cities to protect sensitiv...

With an emphasis on striking a balance between cost-effectiveness and environmental impact, cloud sustainability and financial operations, or FinOps, have become essential elements of contemporary cloud computing strategy. Through an examination of data center operations transformation, the adoption of sustainable practices, and the integration of...