Journal of Artificial Intelligence & Cloud Computing最新文献

{"title":"Artificial Intelligence & Modem Technology","authors":"Girish M Chikkahonnegowda","doi":"10.47363/jaicc/2024(3)164","DOIUrl":"https://doi.org/10.47363/jaicc/2024(3)164","url":null,"abstract":"","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"5 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140408298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Enterprise AI Adoption with Converged Infrastructure: The Role of NVIDIA AI Enterprise and VMware in Streamlining IT Stack and Enhancing Resource Allocation","authors":"Sriram Sagi","doi":"10.47363/jaicc/2024(3)214","DOIUrl":"https://doi.org/10.47363/jaicc/2024(3)214","url":null,"abstract":"This research paper, titled \"Streamlining IT Stack and Enhancing Resource Allocation; The Role of NVIDIA AI Enterprise and VMware\" explores the benefits of combining NVIDIA AI Enterprise and VMware technologies to optimize IT infrastructure in businesses. By integrating these technologies organizations can effectively. Scale their AI initiatives focusing on innovation and extracting insights, from data. The paper highlights the importance of a integrated infrastructure, for hosting large scale language models and discusses how converged infrastructure eliminates the complexities associated with hardware and software. It emphasizes how this collaboration ensures performance, scalability, security and cost effectiveness enabling enterprises to leverage the potential of AI. To demonstrate the effectiveness of this approach the research includes testing with Cisco and NetApp converged infrastructure to deploy and manage AI models successfully. Ultimately this study showcases how businesses can gain an edge in todays evolving AI landscape.","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"92 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140408525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cloud-Driven Transformation: Ensuring Security and Privacy in Data and Application Modernization","authors":"Siva Karthik Devineni, Brownmagnus Olivers, Mahidhar Mullapudi","doi":"10.47363/jaicc/2024(3)200","DOIUrl":"https://doi.org/10.47363/jaicc/2024(3)200","url":null,"abstract":"Today, businesses are advancing their IT strategies to leverage cloud environments providing greater scalability and efficiency in the changing digital environment. This indicates that it will be the modernization of data and apps that will lead the way as enterprises try to adapt themselves to the change brought about by the cloud. Even though they are not intentionally constructing a new entry medium that may be readily stolen, information providers in both the public and commercial sectors are also facing critical challenges regarding data security. At the same time as it satisfies the requirements of commercial customers as well as those of public sector organizations, this article provides the many methods that may be used to build cloud computing systems that protect the data of customers, guaranteeing that it is kept private. Also included in this are the methods for safely transferring client information from servers housed in your office building to the cloud, as well as the best practices that are prevalent within a certain industry and particulars that are applicable exclusively to a particular sort of company activity","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"2012 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140416240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scaling Generative AI in Enterprise IT Operations: Challenges and Opportunities","authors":"Sriram Sagi","doi":"10.47363/jaicc/2024(3)209","DOIUrl":"https://doi.org/10.47363/jaicc/2024(3)209","url":null,"abstract":"This research paper delves into industries that can benefit from the implementation of AI, such, as IT operations, healthcare, finance and gaming. The potential of AI lies in its ability to enhance customer service create personalized content assist in research endeavors optimize investment strategies and create virtual environments. However businesses often encounter challenges when moving from AI proof of concept to implementation. These challenges involve scalability, integration with existing systems, data governance considerations aligning objectives and meeting requirements. To tackle these concerns head on this paper suggests the utilization of a converged infrastructure platform that combines computing power with network capabilities and storage resources using NVIDIA GPUs. It recommends evaluating existing AI proof of concepts and providing the infrastructure to transform each concept into an use case. The primary goal of this research study is to explore the process involved in converting AI proof of concepts into use cases while understanding its significance in harnessing AI capabilities, within organizations.","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140413612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI is Conquering All Areas of our Lives, but the Dangers and Risks are Great","authors":"Doepp Manfred","doi":"10.47363/jaicc/2024(3)177","DOIUrl":"https://doi.org/10.47363/jaicc/2024(3)177","url":null,"abstract":"AI can neither be stopped nor limited; it has developed its own momentum that is progressing exponentially. The potential for use and abuse is huge. This makes it all the more important to control it, which in turn only AI can do. In the absence of ethics in humanity or on the internet, ethics inherent to the AI system must be established; an international authority is needed for this.","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140415218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cloud-Based Lightweight Modern Integrated Development Environments (IDEs) and their Future","authors":"Abhishek Shukla","doi":"10.47363/jaicc/2024(3)218","DOIUrl":"https://doi.org/10.47363/jaicc/2024(3)218","url":null,"abstract":"Integrated development environments (IDEs) have been considered one of the most important tools for developing software. Integrated development environments (IDEs) act as a toolkit designed to facilitate the whole process of designing and developing any software. However, there exists a significant difference between traditional IDEs and modern IDEs. This paper highlights the difference between traditional and modern IDEs and the relevance of Cloud-based IDEs in the present and future.","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"1998 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140416935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modern JavaScript Frameworks and JavaScript's Future as a FullStack Programming Language","authors":"Abhishek Shukla","doi":"10.47363/jaicc/2023(2)144","DOIUrl":"https://doi.org/10.47363/jaicc/2023(2)144","url":null,"abstract":"JavaScript, first conceptualized as a scripting language mostly used on the client side, has seen a notable transformation, emerging as a crucial programming language capable of operating on the whole software stack. This article explores the intricate trajectory of JavaScript, charting its evolution from its birth to its present-day significance. In this study, we investigate the evolutionary course of the language, with a particular focus on the influence of ECMAScript standardization and the significant contribution of ES6 in augmenting its functionalities and facilitating its maintainability. The introduction of ES6 modules has substantially transformed the arrangement of code, fostering the principles of modularity and code reuse. This article examines the importance of current JavaScript frameworks, including React, Angular, and especially Vue.js, in modern web development. These frameworks have revolutionized the field of front-end development by providing a range of tools that enable the creation of user interfaces that are both responsive and interactive. The virtual DOM and component-based architecture of React contributes to improving user experiences. At the same time, Angular's extensive framework with Vue.js's progressive approach is designed to accommodate a wide range of developer preferences. The study results validate the extensive acceptance of these discoveries, mostly attributed to their user-friendly characteristics for developers and the strong backing from a thriving community. In addition, integrating JavaScript into full-stack development, made possible by using Node.js, has resulted in more efficient workflows and decreased the challenges of handling several programming languages for front-end and back-end development. The event-driven and non-blocking I/O mechanism of Node.js has played a significant role in developing server applications with high-performance capabilities. Including the Node Package Manager (npm) has enhanced the usability of JavaScript as a full-stack language. In summary, the trajectory of JavaScript exemplifies the capacity for innovation and adaptability. The inherent flexibility, diversity, and thriving ecosystem of this technology solidify its position as a fundamental element in the realm of web development, displaying great potential for a prosperous future within the ever-evolving landscape of technology.DOM and component-based architecture of React contributes to improving user experiences. At the same time, Angular's extensive framework with Vue.js's progressive approach is designed to accommodate a wide range of developer preferences. The study results validate the extensive acceptance of these discoveries, mostly attributed to their user-friendly characteristics for developers and the strong backing from a thriving community. In addition, integrating JavaScript into full-stack development, made possible by using Node.js, has resulted in more efficient workflows and decreased the challenge","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"80 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI in Performance Management: Redefining Performance Appraisals in the Digital Age","authors":"Ramesh Nyathani","doi":"10.47363/jaicc/2023(2)134","DOIUrl":"https://doi.org/10.47363/jaicc/2023(2)134","url":null,"abstract":"The digital age has ushered in a new era of workplace dynamics, challenging traditional methods of performance management. This paper examines the transformative role of Artificial Intelligence (AI) in redefining performance appraisals, a critical component of Human Resources (HR) in the digital landscape. With the integration of AI, we delve into how performance metrics have evolved from standardized measures to dynamic, personalized indicators that offer real-time feedback and foster unbiased assessments. Through the lens of AI-driven analytics, the paper discusses the creation of tailored development plans and predictive management strategies that align with individual career paths and organizational goals. Case studies from pioneering organizations illustrate the practical application, outcomes, and challenges faced in the transition to AI-enhanced appraisals. Additionally, we address the ethical considerations and privacy concerns associated with AI and big data in performance evaluations. The paper culminates in strategic insights for preparing HR professionals and businesses for the implementation of AI-driven performance systems and speculates on the future landscape of performance management in the digital age. This research aims to provide a comprehensive overview of AI's capacity to enhance the appraisal process, ensuring more effective management of talent in an ever-evolving technological environment.","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"119 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leyi Mental Training: Bridging Ancient Wisdom and Modern Science to Reduce Anxiety via Altered Brain Dynamics","authors":"Changle Zhou","doi":"10.47363/jaicc/2023(2)124","DOIUrl":"https://doi.org/10.47363/jaicc/2023(2)124","url":null,"abstract":"Leyi is a set of physical and mental cultivation methods established by Professor Changle Zhou after many years of practice. It combines modern psychological adjustment and Chinese ancient Buddhist practice methods, including relaxation, breathing, meditation, koan, and cognitive regulation. Its purpose is to achieve the state of enlightenment (a high-level ideology in Buddhism). More than ten years of practical experience has proved that Leyi Mental Training can improve people's physical and mental health, especially most participants reported that their anxiety reduced after training. Before and after the training, we recorded the participants' EEG during the task of judging emotional pictures and administered the POMS Scale to them after the task. The results showed that their anxiety subscale scores were significantly reduced after training, and the accompanying brain activity was that the power of frontal gamma was reduced considerably. Studies have found that frontal gamma power is related to DMN activity, and a decrease in frontal gamma power indicates a reduction of internal network activity. We speculate that this may be because Leyi's training changed the way of self-referential processing, which in turn affected the activities of the internal network, which may be one of the brain mechanisms for reducing anxiety","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"111 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of Machine Learning to Validate an Intelligent Framework to Support Decision Making in the Public Sector","authors":"Á. Pinheiro, W. Santos, F. B. L. Neto","doi":"10.47363/jaicc/2023(2)119","DOIUrl":"https://doi.org/10.47363/jaicc/2023(2)119","url":null,"abstract":"Problem: Currently, many public organizations have adopted applications for process automation to avoid repetitive work and produce more efficient results; however, the development of intelligent mechanisms to support complex decision-making is not often observed. In public services, in particular, difficulties may be related to the abundance of data sources and the number of legal norms to comply with. Objective: A formal specification of a framework for the application and service layer suitable for public services with machine learning to support decisionmaking by technology and business experts. Method: In this study, the Design Science Research Methodology (DSRM) method was used, dividing the work into the following stages: (i) identification of the problem and motivation; (ii) definition of the objectives; (iii) planning, design, and development; (iv) demonstrations of the simulations; (v) verification and validation of the experiments; and (vi) communication of results. Interspersed with Domain Engineering (DE) in three stages: (i) Domain Analysis, (ii) Domain Design, and (iii) Domain Implementation. Results: This research was carried out: (i) elicitation of characteristics for an Intelligent Framework for the Public Sector, (ii) execution of Domain Engineering in Public Sector projects to obtain the characteristics, (iii) construction of an architectural model with machine learning by reinforcement, and (iv) instantiation of the framework for its validation using five experimental cases.","PeriodicalId":407351,"journal":{"name":"Journal of Artificial Intelligence & Cloud Computing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}