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Data Analytics For Emerging Technologies

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Data Analytics For Emerging Technologies

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Author : Ajit Singh
language : en
Publisher: Independently Published
Release Date : 2025-08-08

Data Analytics For Emerging Technologies written by Ajit Singh and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Computers categories.

"Data Analytics for Emerging Technologies" is a comprehensive and practical guide designed to navigate the dynamic intersection where data analytics meets the transformative technologies of Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain. This textbook serves as an essential resource for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, Electronics, and other engineering disciplines. It is also an invaluable asset for researchers, data professionals, and technology enthusiasts seeking to upskill and stay ahead of the curve. Key Features: 1. Foundational Clarity: Begins with a clear and concise introduction to the fundamental principles of Data Analytics, AI, IoT, and Blockchain, making the book accessible even to those new to the topics. 2. Real-World Case Studies: Each chapter is enriched with practical case studies, such as predictive maintenance in smart factories, fraud detection in blockchain networks, and customer sentiment analysis using AI. 3. Simplest Practical Examples: Complex concepts are explained using simple, relatable, real-life examples, like using IoT for smart city traffic management or blockchain for securing a food supply chain. 4. Focus on Convergence: A dedicated chapter explores the powerful synergies achieved by combining AI, IoT, and Blockchain, showcasing integrated systems like secure, AI-optimized supply chains. 5. Hands-On Capstone Project: The final chapter guides the reader through a live, working capstone project-"A Smart Healthcare Monitoring System"-integrating IoT data collection, AI-based anomaly prediction, and Blockchain for data integrity, complete with step-by-step code and explanation. 6. Up-to-Date Content: Covers the latest tools, techniques, and platforms used in the industry, including Python libraries (Pandas, Scikit-learn, TensorFlow), Big Data technologies (Apache Spark), and cloud services (AWS, Azure, GCP). 7. Ethical Framework: Provides a robust discussion on the critical aspects of data governance, bias in AI, explainability (XAI), and data privacy regulations like GDPR. 8. Structured for Learning: Each chapter follows a logical flow with clearly defined learning objectives, numbered topics, and summaries to reinforce understanding. We begin by laying a strong foundation, introducing the core concepts of data analytics and the emerging technologies of AI, IoT, and Blockchain. We then dive deep into how data is acquired, processed, and analyzed within the context of each of these technologies. The central theme of convergence is explored in a dedicated chapter, showcasing how these technologies can be orchestrated to create robust, intelligent, and secure systems.

Emerging Technology And Architecture For Big Data Analytics

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Author : Anupam Chattopadhyay
language : en
Publisher: Springer
Release Date : 2017-04-19

Emerging Technology And Architecture For Big Data Analytics written by Anupam Chattopadhyay and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-19 with Technology & Engineering categories.

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

Big Data Big Analytics

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Author : Michael Minelli
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-22

Big Data Big Analytics written by Michael Minelli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-22 with Business & Economics categories.

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

Digital Economy Emerging Technologies And Business Innovation

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Author : Mohamed Anis Bach Tobji
language : en
Publisher: Springer Nature
Release Date : 2020-12-02

Digital Economy Emerging Technologies And Business Innovation written by Mohamed Anis Bach Tobji and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Computers categories.

This book constitutes the refereed proceedings of the 5th International Conference, ICDEc 2020, held in Bucharest, Romania, in June 2020. Due to the COVID-19 pandemic the conference took place virtually. The 13 full papers presented in this volume together with 3 abstracts of keynotes and 1 introductory paper by the steering committee were carefully reviewed and selected from a total of 41 submissions. The core theme of this year’s conference was “Emerging Technologies & Business Innovation”. The papers were organized in four topical sections named: digital transformation, data analytics, digital marketing, and digital business models.

The Emerging Technology Of Big Data

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Author : Heru Susanto
language : en
Publisher: CRC Press
Release Date : 2019-03-29

The Emerging Technology Of Big Data written by Heru Susanto and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with Business & Economics categories.

Big Data is now highly regarded and accepted as a useful tool to help organizations manage their data and information effectively and efficiently. This new volume, The Emerging Technology of Big Data: Its Impact as a Tool for ICT Development, looks at the new technology that has emerged to meet the growing need and demand and studies the impact of Big Data in several areas of today’s society, including social media, business process re-engineering, science, e-learning, higher education, business intelligence, and green computing. In today’s modern society, information system (IS) through Big Data contributes to the success of organizations because it provides a solid foundation for increasing both efficiency and productivity. Many business organizations and educational institutions realize that compliance with Big Data will affect their prospects for success. Everyday, the amount of data collected from digital tools grows tremendously. As the amount of data increases, the use of IS becomes more and more essential. The book looks at how large datasets and analytics have slowly crept into the world of education and discusses methods of teaching and learning and the collection of student-learning data. The final chapter of the book considers the environmental impacts of ICT and emphasizes green ICT awareness as a corporate strategy through information systems. The global ICT industry accounts for approximately 2 percent of global carbon dioxide (CO2) emissions, and the manufacture, shipping, and disposal of ICT equipment also contributes environmentally. This chapter addresses these issues. The information provided here will be valuable information for education professionals, businesses, faculty, scientists and researchers, and others.

Emerging Technologies In Manufacturing

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Author : Matthew N. O. Sadiku
language : en
Publisher: Springer Nature
Release Date : 2023-03-15

Emerging Technologies In Manufacturing written by Matthew N. O. Sadiku and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-15 with Technology & Engineering categories.

The manufacturing industry is a cornerstone of national economy and people’s livelihood. It is the way of transforming resources into products or goods which are required to cater to the needs of the society. Traditional manufacturing companies currently face several challenges such as rapid technological changes, inventory problem, shortened innovation, short product life cycles, volatile demand, low prices, highly customized products, and ability to compete in the global markets. Modern manufacturing is highly competitive due to globalization and fast changes in the global market. This book reviews emerging technologies in manufacturing. These technologies include artificial intelligence, smart manufacturing, lean manufacturing, robotics, automation, 3D printing, nanotechnology, industrial Internet of things, and augmented reality. The use of these technologies will have a profound impact on the manufacturing industry. The book consists of 19 chapters. Each chapter addresses a single emerging technology in depth and describes how manufacturing organizations are adopting the technology. The book fills an important niche for manufacturing. It is a comprehensive, jargon-free introductory text on the issues, ideas, theories, and problems on emerging technologies in manufacturing. It is a must-read book for beginners or anyone who wants to be updated about emerging technologies.

Learning To Love Data Science

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Author : Mike Barlow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-10-27

Learning To Love Data Science written by Mike Barlow and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-27 with Computers categories.

Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse. Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches. With this anthology, you’ll learn how: Analysts can now get results from their data queries in near real time Indie manufacturers are blurring the lines between hardware and software Companies try to balance their desire for rapid innovation with the need to tighten data security Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center CIOs have gradually evolved from order takers to business innovators New analytics tools let businesses go beyond data analysis and straight to decision-making Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.

Emerging Technologies For Recruitment Strategy And Practice

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Author : Badouch, Mohamed
language : en
Publisher: IGI Global
Release Date : 2025-08-07

Emerging Technologies For Recruitment Strategy And Practice written by Badouch, Mohamed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-07 with Business & Economics categories.

In today’s digital landscape, emerging technologies transform organizational recruitment strategies and practices. From AI and machine learning to blockchain and virtual reality, these innovations streamline hiring processes, enhance candidate experiences, and enable data-driven decision-making. As employee competition increases, companies must leverage these tools to improve current strategies, reducing time-to-hire, improving the quality of hires, and fostering inclusive recruitment practices. This shift redefines traditional hiring models, emphasizing hiring personalization and effective technological integration. Emerging Technologies for Recruitment Strategy and Practice explores how emerging technologies reshape recruitment strategies by automating processes, enhancing candidate engagement, and enabling data-driven talent acquisition. It examines the practical implications of tools like AI, predictive analytics, and digital platforms on hiring outcomes, workforce diversity, and recruitment effectiveness. This book covers topics such as deep learning, hiring practices, and sentiment analysis, and is a useful resource for business owners, engineers, academicians, researchers, and data scientists.

The Emerging Technology Of Big Data

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Author : Heru Susanto
language : en
Publisher: CRC Press
Release Date : 2019-03-29

Iibf X Taxmann S Emerging Technologies In Depth Exploration Of How Emerging Technologies Such As Data Analytics Big Data Blockchain Machine Learning Ai Are Transforming Banking

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Author : Indian Institute of Banking & Finance
language : en
Publisher: Taxmann Publications Private Limited
Release Date : 2024-10-04

Iibf X Taxmann S Emerging Technologies In Depth Exploration Of How Emerging Technologies Such As Data Analytics Big Data Blockchain Machine Learning Ai Are Transforming Banking written by Indian Institute of Banking & Finance and has been published by Taxmann Publications Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Law categories.

This book comprehensively analyses how technology is revolutionising the banking sector, covering key themes like data analytics, big data, blockchain, machine learning, and artificial intelligence. The book examines how these advancements transform traditional banking operations into digital-first processes, enhance customer experience, streamline operations, and improve risk management. It emphasises the significance of data in decision-making and explores big data tools like Hadoop for managing vast datasets. The book also discusses blockchain's role in fostering transparency and security, while machine learning and AI are analysed for their impact on predictive analysis, personalised services, and fraud detection. It is designed as a self-study guide and uses a modular approach to facilitate independent learning, offering practical examples, case studies, and assessment resources for finance professionals, banking practitioners, and students to adapt to the evolving landscape of digital finance. The Present Publication is the 2024 Edition, authored by Mr Burra Butchi Babu | Former General Manager – Bank of India and vetted by Mr V.A. Prasanth | Former General Manager & Chief Information Officer – Indian Bank. Taxmann exclusively publishes this book for the Indian Institute of Banking and Finance for the certificate course on 'Emerging Technologies' with the following noteworthy features: • [Transforming the Banking Paradigm] The book explains how technology drives the banking sector's transformation, transcending geographical limitations and enhancing operational efficiency. By adopting innovations like digital currencies, big data analytics, machine learning, and blockchain, banks are improving customer experience, increasing transparency, and reducing risks. The book explores these changes in great detail, explaining how technological synergies are paving the way for more innovative, faster, and safer banking operations • [Practical Insights into Technological Adoption] Through real-world applications and expert insights, this book offers a practical perspective on how these emerging technologies are integrated into the banking ecosystem. It discusses how the fusion of finance and technology has fostered new opportunities for growth while addressing the challenges of data security, privacy, and ethical responsibility. Readers are guided to think critically about how these advancements balance the convenience of seamless transactions with the imperative to protect financial identities and safeguard sensitive data • [Comprehensive Coverage through a Modular Approach] To ensure a thorough understanding, the book is structured modularly, covering specific technological areas and their applications in banking. Each module breaks down complex concepts into digestible sections, providing readers with a coherent learning pathway. From the fundamentals of data analytics to the nuanced intricacies of artificial intelligence, the book offers in-depth discussions designed to equip learners with the practical skills necessary for thriving in a technology-driven financial environment • [Self-Learning Resources & Assessment Tools] The book is enriched with self-assessment resources such as multiple-choice questions, terminal questions, and comprehensive summaries, allowing readers to test their knowledge and reinforce their understanding. Every module is carefully structured with learning objectives, chapter overviews, keywords, and references, making it a holistic educational tool. The inclusion of practical examples, case studies, and exercises enhances its relevance for both academic and professional learning environments The book adopts a modular approach, ensuring a coherent and logical flow of content across its four modules, which are as follows: • Module A – Data Analytics o This module is a foundational entry point into data analytics, a key driver of decision-making in modern banking. It introduces emerging technological trends within banks, discussing data extraction, analysis, and visualisation. The module explains the various types of analytics (descriptive, diagnostic, predictive, and prescriptive) and how they extract actionable insights for better financial decision-making. Moreover, the section on immersive technologies such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) highlights their role in enhancing customer interactions and operational processes • Module B – Big Data & Hadoop o Big data is a critical component of modern banking and is explored extensively in this module. It discusses how vast datasets are collected, processed, and analysed, enabling banks to make informed decisions, understand customer behaviour, and detect market trends. The module covers topics like Hadoop's ecosystem and architecture, NoSQL databases, and real-life examples showcasing the role of big data in optimising banking processes. It dives into methods for handling large-scale data efficiently and how these insights lead to personalised customer services, risk assessment, and better regulatory compliance • Module C – Blockchain & Digital Currencies o Blockchain is redefining trust and transparency in financial transactions. This module provides an elaborate overview of blockchain, including its types, key features, consensus mechanisms, and transaction flow. The section discusses the rise of digital currencies like Bitcoin and their influence on global finance, highlighting the decentralised nature of blockchain technology and its role in securing financial transactions. It also examines how smart contracts, interoperability, and distributed ledger technology are being implemented in banking to reduce fraud, automate processes, and facilitate seamless cross-border payments • Module D – Machine Learning (ML) in Banking o Machine learning, a cornerstone of artificial intelligence, transforms how banks predict trends, personalise services, and detect fraud. This module introduces the concepts and types of machine learning, covering supervised, unsupervised, and reinforcement learning. Readers are guided through different stages of machine learning, the categorisation of algorithms, and practical examples of how banks use ML for predictive analysis, customer segmentation, credit scoring, and more. It also explores the future trajectory of ML in financial services and its potential to reshape the industry • Module E – Artificial Intelligence (AI) o Artificial Intelligence (AI) has become integral to modernising financial services. This module covers the basics of AI, discussing neural networks, deep learning, natural language processing, and text classification. It examines the architectural framework of neural networks, the role of deep belief networks (DBNs), and generative adversarial networks (GANs) in financial modelling. The book explains the real-world applications of AI, such as chatbots, virtual assistants, fraud detection, automated underwriting, and risk assessment, demonstrating how AI is improving efficiency and customer service in the banking sector. • Emerging Technologies –IoT & Robotic Process Automation (RPA) o Supplementary chapters discuss the Internet of Things (IoT) and Robotic Process Automation (RPA) and their impact on the financial world. By enabling interconnected banking solutions, readers will learn how IoT devices enhance customer experiences. Meanwhile, RPA's role in automating repetitive tasks, reducing manual errors, and increasing operational efficiency is explored, alongside the ethical and practical implications of hyper-automation in banking

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Data Analytics For Emerging Technologies

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