EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book Real Time Data Analytics and R Programming

Download or read book Real Time Data Analytics and R Programming written by Dr.J.Chenni Kumaran and published by Leilani Katie Publication. This book was released on 2024-02-05 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.J.Chenni Kumaran, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.M.Sivaram, Profesor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.A.Manimaran, Profesor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.A.Selvakumar, Profesor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.S. Ramesh, Profesor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.

Book Real Time Data Decisions With AI and ChatGPT Techniques

Download or read book Real Time Data Decisions With AI and ChatGPT Techniques written by Sharma, Priyanka and published by IGI Global. This book was released on 2024-09-19 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The proliferation of AI tools like ChatGPT offers immense potential. Yet, businesses often need help to navigate the complexities of implementation and maximize the benefits. This gap between AI's promise and its practical application highlights the need for a comprehensive resource that offers practical insights and innovative strategies. Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential.

Book Using Real Time Data and AI for Thrust Manufacturing

Download or read book Using Real Time Data and AI for Thrust Manufacturing written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-28 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clear—to revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.

Book Industry Applications of Thrust Manufacturing  Convergence with Real Time Data and AI

Download or read book Industry Applications of Thrust Manufacturing Convergence with Real Time Data and AI written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

Book ICT  Smart Systems and Technologies

Download or read book ICT Smart Systems and Technologies written by M. Shamim Kaiser and published by Springer Nature. This book was released on 2024 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8 - 9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes

Book Big Data

    Book Details:
  • Author : James Warren
  • Publisher : Simon and Schuster
  • Release : 2015-04-29
  • ISBN : 1638351104
  • Pages : 481 pages

Download or read book Big Data written by James Warren and published by Simon and Schuster. This book was released on 2015-04-29 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth

Book Real time Data 2022

    Book Details:
  • Author :
  • Publisher :
  • Release : 2022
  • ISBN : 9789278431327
  • Pages : 0 pages

Download or read book Real time Data 2022 written by and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of data.europa.eu is to improve accessibility to and promote the reuse of public sector information. The portal provides access to open data from international, EU, national and regional sources. This is achieved by collecting the metadata of public data made available across Europe in a process called harvesting. Metadata is harvested both from open data portals and from geodata portals and is made available on data.europa.eu. This report discusses the potential of real-time data in conjunction with data.europa.eu. Real-time data allows us to gather up-to-date information about the environment surrounding us (e.g. traffic information, weather data, measurements of environmental pollution, information about natural hazards). Consequently, the European directive on open data and the reuse of public sector information put a specific emphasis on making such real-time data resources available. There is a dedicated field of work in the data.europa.eu project to help users discover open real-time data sources. This comprises not only the inclusion of real-time data sources in its data index, but also the support of data providers to make their data available in a reusable and discoverable way. This report summarises the results and findings of a webinar on real-time data held by the data.europa.eu project on 5 April 2022. On the one hand, the report offers a short summary of the presented information and technologies (e.g. relevant standards/APIs). On the other hand, it summarises the main findings of the questions and feedback from the participants (e.g. data needs, types of data sources and required functionalities). As a result, the report provides a set of recommendations on how to further improve the discoverability of real-time data sources via data.europa.eu.

Book Transforming the Financial Landscape With ICTs

Download or read book Transforming the Financial Landscape With ICTs written by Singh, Dharmendra and published by IGI Global. This book was released on 2024-05-14 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern finance, academic scholars face a pressing dilemma - how to grapple with the sweeping influence of Information and Communication Technology (ICT). As ICT continues to transform financial practices, transactions, and data analysis, scholars are confronted with the daunting challenge of comprehending and navigating this rapidly changing terrain. Moreover, the disruptive potential of ICT introduces a range of intricate issues, including cybersecurity vulnerabilities, ethical quandaries, and privacy concerns. In the absence of a comprehensive guide, scholars find themselves adrift, searching for direction amidst the tumultuous waves of the digital revolution. Transforming the Financial Landscape With ICTs is a beacon of knowledge amid the turbulence of ICT-driven financial transformation. This meticulously curated book presents a vast array of research papers and case studies that delve deep into the multifaceted impact of ICT on the finance sector. It not only illuminates the path forward but also underscores the positive potential of embracing ICT as a catalyst for progress, championing efficiency, transparency, and inclusivity within finance.

Book Perspectives and Considerations on the Evolution of Smart Systems

Download or read book Perspectives and Considerations on the Evolution of Smart Systems written by Habib, Maki K. and published by IGI Global. This book was released on 2023-08-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart systems are rapidly evolving and finding ways to influence different aspects of human life, industry, and the environment. Smart systems based on available data should have the ability to predict and be adaptive, which leads to performing reliable, smart actions. Smartness and learning capabilities are essential characteristics describing smart systems besides connectivity and digital virtual cloudification technologies. Perspectives and Considerations on the Evolution of Smart Systems discusses the latest edge development that informs and facilitates the next level of development. It highlights how the evolving technologies and techniques are going to impact the developments in the field considering climate, environment, circular economy, and ecosystems. Covering topics such as dynamic difficulty adjustment, intelligent control, and serious games, this premier reference source is an excellent resource for engineers, computer scientists, IT professionals, developers, data analysts, students and educators of higher education, librarians, researchers, and academicians.

Book Navigating Cyber Threats and Cybersecurity in the Logistics Industry

Download or read book Navigating Cyber Threats and Cybersecurity in the Logistics Industry written by Jhanjhi, Noor Zaman and published by IGI Global. This book was released on 2024-03-05 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supply chains are experiencing a seismic shift towards customer-centricity and sustainability and the challenges that are bound to arise will require innovative solutions. The escalating complexities of logistics, exacerbated by the profound impacts of the pandemic, underscore the urgency for a paradigm shift. Every industry is grappling with unprecedented disruptions from shortages in essential components to workforce deficits. Navigating Cyber Threats and Cybersecurity in the Logistics Industry serves as a beacon of insight and solutions in this transformative landscape. This groundbreaking book, a result of an in-depth study evaluating 901 startups and scale-ups globally, delves into the Top Logistics Industry Trends & Startups. It unveils the pivotal role of the Insights Discovery Platform, powered by Big Data and Artificial Intelligence, covering over 2 million startups and scale-ups worldwide. This platform offers an immediate and comprehensive assessment of innovations, facilitating the early identification of startups and scale-ups that hold the key to revolutionizing logistics.

Book Data Driven Business Intelligence Systems for Socio Technical Organizations

Download or read book Data Driven Business Intelligence Systems for Socio Technical Organizations written by Keikhosrokiani, Pantea and published by IGI Global. This book was released on 2024-04-09 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.

Book The Future of Cloud Computing  Al Driven Deep Learning and Neural Network Innovations

Download or read book The Future of Cloud Computing Al Driven Deep Learning and Neural Network Innovations written by Sanjay Ramdas Bauskar and published by BUDHA PUBLISHER. This book was released on with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: ......

Book Fostering Innovation in Venture Capital and Startup Ecosystems

Download or read book Fostering Innovation in Venture Capital and Startup Ecosystems written by Sharma, Renuka and published by IGI Global. This book was released on 2024-03-11 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: The disruptive potential of technologies such as Artificial Intelligence (AI), blockchain, the Internet of Things (IoT), and biotechnology catalysts redefine traditional business models and serve as instrumental forces in attracting venture capital investments. The lower barriers to entry, facilitated by these disruptive technologies, empower entrepreneurs to bring their ideas to market, creating a more accessible landscape for funding and innovation. Fostering Innovation in Venture Capital and Startup Ecosystems explores this transformative intersection, where emerging technologies catalyze change, fuel innovation, and redefine the dynamics of financial investments and entrepreneurial endeavors. Moreover, the book delves into how embracing AI, IoT, blockchain, and augmented reality/virtual reality can expedite innovation, enhance efficiency, and scale businesses. Through a multidisciplinary lens, readers understand how these technologies influence established markets, drive economic growth, and create job opportunities. This book is ideal for venture capitalists, angel investors, entrepreneurs, startup founders, and policymakers.

Book Current Research Trends in Business and Technology Management

Download or read book Current Research Trends in Business and Technology Management written by Ramesh Kumar Chaturvedi and published by OrangeBooks Publication. This book was released on 2024-09-17 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a continued effort to present the latest thoughts of researchers in domain of business and technology management and to benefit industry and academia, like my previous books, this book also intends to fulfill the quest for knowledge for all having interest in current research in the field of Business and Technology Management. The research output of respective authors is presented in the form of edited book and carries chapters on issues researched and contemplated by them. Certain contemporary topics of interest in management that are covered in the chapters of this book are Role of Artificial Intelligence in better decision making, particularly in context of Data warehousing and Business process management is discussed in some of the chapters. Another Interesting aspect of technology that is touching common man life is IoT, so one chapter discusses the role and impact of IoT in business decision making. One author also tried to present the future scenario of business environment and marketing in light of growing impact of artificial intelligence. Another author focuses on how science and technology is to influence the agriculture and surrounding business. Few authors have presented the recent developments in the field of human resource management. Conceptualization of metaverse in HRM and improving work life balance among employees are presented by these authors. One article has explored the role of ethical practices in innovation and entrepreneurship. In the field of financial management, we found two chapters that are raising the important aspects of finance management. One is providing insight over management of microfinance to address the challenge of micro-credit deficit in India and another chapter is presenting the current trends in Mutual fund industry of India. Care has been taken to ensure the presentation of original ideas as contributed by respective authors. Editors does not claim the ideas presented in this book as their own nor they vouch the originality of research content, however we neither tolerate nor promote plagiarism and follow best ethical practices of publishing. Chapters are prepared by respective authors and submitted for inclusion in this edited book which is reviewed by subject experts. For academic interest of students, academicians and industry editor represented research outcomes in through this book. Concepts discussed in the book are well recognized and has contemporary relevance in this discipline of study. Contents as much possible are properly and suitably attributed to citable references, though may not be exhaustively. Any error typographical, citation or otherwise is regretted.

Book Metaverse Applications for Intelligent Healthcare

Download or read book Metaverse Applications for Intelligent Healthcare written by Gaur, Loveleen and published by IGI Global. This book was released on 2023-11-24 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already shown great potential in assisting with diagnosis, treatment, and patient care. The metaverse, with its immersive virtual environments, has the potential to revolutionize healthcare by making it more accessible, efficient, and personalized. This book introduces various applications of the metaverse in healthcare, including virtual consultations, remote patient monitoring, and virtual rehabilitation. The book discusses how the metaverse can be used to provide immersive experiences that empower patients and providers, while also offering unique learning opportunities. The book is ideal for researchers, practitioners, healthcare professionals, scholars, and students who are interested in exploring the cutting-edge technology of AI and the metaverse in healthcare. It offers insights into the future of healthcare, and how these technologies can be used to provide better care to patients. By combining the latest research in AI and the metaverse, this book provides a comprehensive overview of the potential applications of these technologies in healthcare.

Book Big Data and Decision Making

Download or read book Big Data and Decision Making written by Anna Visvizi and published by Emerald Group Publishing. This book was released on 2023-01-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited.

Book Data Science on the Google Cloud Platform

Download or read book Data Science on the Google Cloud Platform written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2017-12-12 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You’ll learn how to: Automate and schedule data ingest, using an App Engine application Create and populate a dashboard in Google Data Studio Build a real-time analysis pipeline to carry out streaming analytics Conduct interactive data exploration with Google BigQuery Create a Bayesian model on a Cloud Dataproc cluster Build a logistic regression machine-learning model with Spark Compute time-aggregate features with a Cloud Dataflow pipeline Create a high-performing prediction model with TensorFlow Use your deployed model as a microservice you can access from both batch and real-time pipelines