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Dawn Raids Under Challenge: Due Process Aspects on the European Commission's Dawn Raid Practices (Hart Studies in Competition Law)
by Helene AnderssonThe 2nd edition of this book provides an updated comprehensive analysis of the European Commission's dawn raid practices from a due process perspective. Examining the obligations imposed by the Charter and the ECHR and the response of the Luxembourg and Strasbourg Courts, the book shows that whereas the Strasbourg Court manages to strike a balance between efficiency concerns and fundamental rights, the approach of the EU Courts is not equally balanced. The dawn raid is a powerful tool on which the European Commission relies heavily in its antitrust investigations. In 2022, the Commission carried out dawn raids in private homes for the first time in many years and it has declared its intent to make greater use of the power to inspect private premises. Furthermore, the European Commission is expanding its dawn raid practices into new areas of law. Both the Digital Markets Act and the Foreign Subsidies Regulation empower the Commission to carry out dawn raids and to impose heavy fines on anyone failing to cooperate. Ensuring adequate procedural safeguards is therefore more important than ever.The book provides an essential and timely examination of this important subject, and is of great practical interest to companies, practitioners, and enforcers. It is also of theoretical interest, offering stimulating reflections on the effectiveness and legitimacy of the Commission's enforcement powers.
Dawn Raids Under Challenge: Due Process Aspects on the European Commission's Dawn Raid Practices (Hart Studies in Competition Law)
by Helene AnderssonThe 2nd edition of this book provides an updated comprehensive analysis of the European Commission's dawn raid practices from a due process perspective. Examining the obligations imposed by the Charter and the ECHR and the response of the Luxembourg and Strasbourg Courts, the book shows that whereas the Strasbourg Court manages to strike a balance between efficiency concerns and fundamental rights, the approach of the EU Courts is not equally balanced. The dawn raid is a powerful tool on which the European Commission relies heavily in its antitrust investigations. In 2022, the Commission carried out dawn raids in private homes for the first time in many years and it has declared its intent to make greater use of the power to inspect private premises. Furthermore, the European Commission is expanding its dawn raid practices into new areas of law. Both the Digital Markets Act and the Foreign Subsidies Regulation empower the Commission to carry out dawn raids and to impose heavy fines on anyone failing to cooperate. Ensuring adequate procedural safeguards is therefore more important than ever.The book provides an essential and timely examination of this important subject, and is of great practical interest to companies, practitioners, and enforcers. It is also of theoretical interest, offering stimulating reflections on the effectiveness and legitimacy of the Commission's enforcement powers.
The Dawn of the Deed: The Prehistoric Origins of Sex
by John A. LongWe all know about the birds and the bees, but what about the ancient placoderm fishes and the dinosaurs? The history of sex is as old as life itself—and as complicated and mysterious. And despite centuries of study there is always more to know. In 2008, paleontologist John A. Long and a team of researchers revealed their discovery of a placoderm fish fossil, known as “the mother fish,” which at 380 million years old revealed the oldest vertebrate embryo—the earliest known example of internal fertilization. As Long explains, this find led to the reexamination of countless fish fossils and the discovery of previously undetected embryos. As a result, placoderms are now considered to be the first species to have had intimate sexual reproduction or sex as we know it—sort of. Inspired by this incredible find, Long began a quest to uncover the paleontological and evolutionary history of copulation and insemination. In The Dawn of the Deed, he takes readers on an entertaining and lively tour through the sex lives of ancient fish and exposes the unusual mating habits of arthropods, tortoises, and even a well-endowed (16.5 inches!) Argentine Duck. Long discusses these significant discoveries alongside what we know about reproductive biology and evolutionary theory, using the fossil record to provide a provocative account of prehistoric sex. The Dawn of the Deed also explores fascinating revelations about animal reproduction, from homosexual penguins to monogamous seahorses to the difficulties of dinosaur romance and how sexual organs in ancient shark-like fishes actually relate to our own sexual anatomy. The Dawn of the Deed is Long’s own story of what it’s like to be a part of a discovery that rewrites evolutionary history as well as an absolutely rollicking guide to sex throughout the ages in the animal kingdom. It’s natural history with a naughty wink.
The Dawn Chorus: A Bone Season novella (The Bone Season)
by Samantha ShannonAn ebook exclusive which bridges the story between the previous and forthcoming instalments of Samantha Shannon's international phenomenon series The Bone SeasonPaige Mahoney and Arcturus Mesarthim have arrived in the Scion Citadel of Paris. Exhausted by her efforts against Scion, Paige has no choice but to remain in hiding, away from the revolution she started, so she can heal and come to terms with her mental and physical scars.
Davidson's Essentials of Medicine E-Book: Davidson's Essentials of Medicine E-Book
by J. Alastair InnesFor over half a century Davidson’s Principles and Practice of Medicine has informed and educated students, doctors and other health professionals all over the world, providing a comprehensive account of the practice of medicine. Davidson’s Essentials of Medicine provides the core content of the main textbook in a condensed format which will be invaluable whenever you are on the move – whether commuting, travelling between training sites, or on electives. This book provides a distillation of the core information required for clinical studies in medicine. While retaining the acclaimed readability of the main textbook it presents the key information in a format more appropriate for practical clinical work. The scope of the contents was carefully selected by a team of junior doctors, emphasising only the topics that will be essential for clinical studies. The text draws directly on the depth and breadth of experience of the Davidson’s authors and its International Advisory Board. Updated to include key changes and new illustrations included in Davidson’s Principles and Practice of Medicine. New chapters on Acute Medicine and Ophthalmology
The Daughters' War
by Christopher BuehlmanThe goblins have killed all of our horses and most of our men. They have enslaved our cities, burned our fields, and still they wage war. Now, our daughters take up arms.Galva - Galvicha to her three brothers, two of whom the goblins will kill - has defied her family's wishes and joined the army's untested new unit, the Raven Knights. They march toward a once-beautiful city overrun by the goblin horde, accompanied by scores of giant war corvids. Made with the darkest magics, these fearsome black birds may hold the key to stopping the goblins in their war to make cattle of mankind.The road to victory is bloody, and goblins are clever and merciless. The Raven Knights can take nothing for granted - not the bonds of family, nor the wisdom of their leaders, nor their own safety against the dangerous war birds at their side. But some hopes are worth any risk.A fraught, shattering fantasy adventure, this standalone novel is set during the war-torn, goblin-infested years just before The Blacktongue Thief.
Daughter of the Merciful Deep
by Leslye PenelopeA woman journeys into a submerged world of gods and myth to save her home in this powerful historical fantasy that shines a light on the drowned Black towns of the American South.'Our home began, as all things do, with a wish.'Jane Edwards hasn't spoken since she was eleven years old, when armed riders expelled her family from their hometown along with every other Black resident. Now, twelve years later, she's found a haven in the all-Black town of Awenasa. But the construction of a dam promises to wash her home under the waters of the new lake.To save her community, Jane must journey into a sunken world. A land of capricious gods and unsung myths; of salvation and dreams made real. But the flood waters are rising and to gain the miracle she desires, Jane will have to find her voice again and finally face the trauma of the past.'Penelope fuses magical realism, folklore and African American history into a profound and rousing fantasy' Publishers Weekly (starred review)'A mesmerising tale that deftly blends history and magic' Nicole glover, author of The ConductorsFor more from Leslye Penelope, check out The Monsters We Defy.
A Daughter of Isis: The Early Life of Nawal El Saadawi, In Her Own Words
by Nawal El SaadawiIn A Daughter of Isis, Nawal El Saadawi, author of Woman at Point Zero and one of the Arab world's greatest writers, tells the story of the formative years which shaped an iconic voice in global feminism. In poignant and moving prose we learn about her relationships with her family, her traumatic experience of female genital mutilation at seven years old and escaping suitors at ten and her journey from the rural Egyptian village of her birth to metropolitan Cairo to study medicine. Filled with warmth as well as critical reflection, this book reveals the early years of a remarkable life dedicated to the fight for justice and equality.
A Daughter of Isis: The Early Life of Nawal El Saadawi, In Her Own Words
by Nawal El SaadawiIn A Daughter of Isis, Nawal El Saadawi, author of Woman at Point Zero and one of the Arab world's greatest writers, tells the story of the formative years which shaped an iconic voice in global feminism. In poignant and moving prose we learn about her relationships with her family, her traumatic experience of female genital mutilation at seven years old and escaping suitors at ten and her journey from the rural Egyptian village of her birth to metropolitan Cairo to study medicine. Filled with warmth as well as critical reflection, this book reveals the early years of a remarkable life dedicated to the fight for justice and equality.
Daughter of Calamity: A gripping, darkly seductive fantasy set in Jazz Age Shanghai
by Rosalie M. LinAn irresistibly dark, atmospheric reimagining of 1930s Shanghai filled with glamour, gods and gangsters. From Rosalie M. Lin, perfect for fans of S. A. Chakraborty and Fonda Lee.'I was utterly swept up . . . seductive, sprawling, full of malice' – Kendare Blake, New York Times bestselling author of Three Dark Crowns In Shanghai, danger wears many faces . . .1932, Shanghai. By day, Jingwen delivers bones for her grandmother, the exclusive surgeon to the most formidable gang in the city. By night, she dances at the Paramount, a lavish cabaret club, competing ruthlessly to charm the wealthy patrons.Then mysterious attackers start to target the club, stealing the faces of their victims – and selling them onto the powerful elite. Jingwen fears she could be next. To protect herself and her fellow performers, she has no choice but to delve deeper into the city’s glittering underworld.In this treacherous realm of cut-throat businessmen, silver-limbed gangsters and vengeful gods, Jingwen soon learns that she must become something far stranger and more dangerous than she ever imagined, if she hopes to survive . . .'Decadent, dangerous, and addictive' – A. Y. Chao, author of Shanghai Immortal
Data Warehousing for Biomedical Informatics
by Richard E. BiehlData Warehousing for Biomedical Informatics is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern. It enables you to quickly implement a fully-scalable generic data architecture that supports your organization's clinical, operational, administrative, financial, and research data. By following the guidelines in this book, you will be able to successfully progress through the Alpha, Beta, and Gamma versions, plus fully implement your first production release in about a year.
Data Visualization and Storytelling with Tableau (Innovations in Multimedia, Virtual Reality and Augmentation)
by Mamta Mittal Nidhi Grover RahejaTableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling. Through Tableau’s Data Visualization and Storytelling feature, aspiring data scientists and analysts can develop their visual analytics skills and use them in both academic and business contexts.Data Visualization and Storytelling with Tableau enables budding data analysts and data scientists to develop and sharpen their skills in the field of visual analytics and apply them in business scenarios as well as in academic context. This book approaches the Data Visualization workflow from a practical point of view, emphasizing the steps involved and the outcomes attained. A major focus of this book is the application and deployment of real-time case studies. Later chapters in this book provide comprehensive coverage for advanced topics such as data storytelling, data insights, color selection in graphs, publishing in tableau public, and misleading visualizations. Thus, this book emphasizes the need to visually examine and evaluate data through stories and interactive dashboards that are made up of appropriate graphs and charts. The case studies covered in this book are a natural extension of the visualization topics that are covered in each chapter. The intention is to empower readers to generate various dashboards, stories, graphs, charts, and maps to visualize and analyze data and support decision-making in business. Advanced charts that are pertinent to project management operations are also thoroughly explored, including comparison charts, distribution charts, composition charts, and maps. All these concepts will lay a solid foundation for data visualization applications in the minds of readers.This book is meant for data analysts, computer scientists/engineers, and industry professionals who are interested in creating different types of visualization graphs for a given data problem and drawing interesting insights from the plotted trends in order to make better business decisions in the future. Features: Introduces the world of Business Intelligence to readers through visualizations in Tableau. Discusses the need and relevance of each business graph with the help of a corresponding real-time case study. Explores the art of picking a suitable graph with an appropriate color scheme for a given scenario. Establishes the process of gaining relevant insights from the analysis of visualizations created. Provides guidance in creating innovative dashboards and driving the readers through the process of innovative storytelling with data in Tableau. Implements the concept of Exploratory Data Analysis (EDA) in Tableau.
Data Visualization and Storytelling with Tableau (Innovations in Multimedia, Virtual Reality and Augmentation)
by Mamta Mittal Nidhi Grover RahejaTableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling. Through Tableau’s Data Visualization and Storytelling feature, aspiring data scientists and analysts can develop their visual analytics skills and use them in both academic and business contexts.Data Visualization and Storytelling with Tableau enables budding data analysts and data scientists to develop and sharpen their skills in the field of visual analytics and apply them in business scenarios as well as in academic context. This book approaches the Data Visualization workflow from a practical point of view, emphasizing the steps involved and the outcomes attained. A major focus of this book is the application and deployment of real-time case studies. Later chapters in this book provide comprehensive coverage for advanced topics such as data storytelling, data insights, color selection in graphs, publishing in tableau public, and misleading visualizations. Thus, this book emphasizes the need to visually examine and evaluate data through stories and interactive dashboards that are made up of appropriate graphs and charts. The case studies covered in this book are a natural extension of the visualization topics that are covered in each chapter. The intention is to empower readers to generate various dashboards, stories, graphs, charts, and maps to visualize and analyze data and support decision-making in business. Advanced charts that are pertinent to project management operations are also thoroughly explored, including comparison charts, distribution charts, composition charts, and maps. All these concepts will lay a solid foundation for data visualization applications in the minds of readers.This book is meant for data analysts, computer scientists/engineers, and industry professionals who are interested in creating different types of visualization graphs for a given data problem and drawing interesting insights from the plotted trends in order to make better business decisions in the future. Features: Introduces the world of Business Intelligence to readers through visualizations in Tableau. Discusses the need and relevance of each business graph with the help of a corresponding real-time case study. Explores the art of picking a suitable graph with an appropriate color scheme for a given scenario. Establishes the process of gaining relevant insights from the analysis of visualizations created. Provides guidance in creating innovative dashboards and driving the readers through the process of innovative storytelling with data in Tableau. Implements the concept of Exploratory Data Analysis (EDA) in Tableau.
Data Strategy: From definition to execution
by Ian WallisData can be a cost for some organizations, but for those who succeed, it is a way to drive profitability, customer loyalty, and outperform others in their field. A well thought out, fit-for-purpose data strategy is vital for every modern data-driven organisation – public or private sector. This book is your essential guide to planning, developing and implementing a data strategy, presenting a framework which takes you from strategy definition to successful strategy delivery and execution with support and engagement from stakeholders. It covers vital topics such as data-driven business transformation, change enablers, benefits realisation and measurement. Written by an experienced practitioner with over 30 years in the field, this book guides the reader through the complexity of working across an organisation to achieve a successful outcome. Whether you’re just starting to consider a data strategy or are looking to improve your existing approach, this book is a valuable resource for any modern data-driven organization. Offers a structured guide for those embarking on a data strategy from definition to a successful implementation. Incorporates insights from a model that has been developed through a highly successful workshop delivered to many practitioners across the globe. Provides case studies, example scenarios and reader questions throughout the book are designed to stimulate real-world thinking and help you put the framework into practice in the context of your own organisation.
Data Strategy: From definition to execution
by Ian WallisData can be a cost for some organizations, but for those who succeed, it is a way to drive profitability, customer loyalty, and outperform others in their field. A well thought out, fit-for-purpose data strategy is vital for every modern data-driven organisation – public or private sector. This book is your essential guide to planning, developing and implementing a data strategy, presenting a framework which takes you from strategy definition to successful strategy delivery and execution with support and engagement from stakeholders. It covers vital topics such as data-driven business transformation, change enablers, benefits realisation and measurement. Written by an experienced practitioner with over 30 years in the field, this book guides the reader through the complexity of working across an organisation to achieve a successful outcome. Whether you’re just starting to consider a data strategy or are looking to improve your existing approach, this book is a valuable resource for any modern data-driven organization. Offers a structured guide for those embarking on a data strategy from definition to a successful implementation. Incorporates insights from a model that has been developed through a highly successful workshop delivered to many practitioners across the globe. Provides case studies, example scenarios and reader questions throughout the book are designed to stimulate real-world thinking and help you put the framework into practice in the context of your own organisation.
Data Storytelling in Marketing: How to Tell Persuasive Stories Through Data
by Caroline FlorenceMarketers are storytellers, they write content, marketing strategies and devise internal communications, but unless these stories are evidence-based, they won't be believable or truly persuasive. Understanding how to use data to build and tell stories is an increasingly important part of the modern-day marketers' toolkit. Stories centered on robust evidence and credible data can withstand challenges, provide meaning, offer insight and engage audiences.This book is designed to plug the data storytelling skills gap and enable marketing professionals to cut through the data overload, join the data dots and create engaging narratives and content. Regardless of whether you're a data expert, data anxious or a data sceptic, this book will give you the tools to help you to communicate more effectively with your customers and your stakeholders. Written by expert trainer Caroline Florence, this book outlines how to build robust and compelling data stories. Drawing on her client work with companies such as Toyota, Lactalis, News UK, Mars Petcare and AXA, plus contributions from experts across data, insights, marketing and customer experience, this book provides a practical roadmap to increase your influence with data storytelling.
Data Protection: Governance, Risk Management, and Compliance
by David G. HillFailure to appreciate the full dimensions of data protection can lead to poor data protection management, costly resource allocation issues, and exposure to unnecessary risks. Data Protection: Governance, Risk Management, and Compliance explains how to gain a handle on the vital aspects of data protection.The author begins by building the foundatio
Data Mining in Biomedical Imaging, Signaling, and Systems
by Rajendra Acharya U Sumeet DuaData mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi
Data Management in Large-Scale Education Research
by Crystal LewisResearch data management is becoming more complicated. Researchers are collecting more data, using more complex technologies, all the while increasing the visibility of our work with the push for data sharing and open science practices. Ad hoc data management practices may have worked for us in the past, but now others need to understand our processes as well, requiring researchers to be more thoughtful in planning their data management routines. This book is for anyone involved in a research study involving original data collection. While the book focuses on quantitative data, typically collected from human participants, many of the practices covered can apply to other types of data as well. The book contains foundational context, instructions, and practical examples to help researchers in the field of education begin to understand how to create data management workflows for large-scale, typically federally funded, research studies. The book starts by describing the research life cycle and how data management fits within this larger picture. The remaining chapters are then organized by each phase of the life cycle, with examples of best practices provided for each phase. Finally, considerations on whether the reader should implement, and how to integrate those practices into a workflow, are discussed. Key Features:
Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture
by Syed Nisar Hussain BukhariIn the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies.Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture
In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies.Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
Data-Driven Decision Making for Product Service Systems
by Xavier Boucher Giuditta Pezzotta Roberto Sala Marco Bertoni Fabiana PirolaThis book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the context of Product-Service Systems (PSS). Providing a comprehensive overview, it discusses the latest breakthroughs in operational, tactical, and strategic decision-making for PSS, leveraging data-driven processes, methodologies, and tools. Therefore, the book significantly contributes to strengthening the knowledge on the use of data-driven decision-making methods and tools all the phases of the PSS lifecycle.From extended warranties and leasing to pay-per-use and other innovative configurations, manufacturing companies are increasingly adopting servitized business models and PSS to create additional value for their customers and users and create robust relationships with them, ensuring more reliable cash flows. In this setting, effective information management and the utilization of aggregated operational data have become essential for guiding strategic, tactical, and operational decisions.This book not only consolidates theoretical frameworks but also offers practical insights into data-driven decision-making in PSS, providing deep knowledge on how complex decisions can be taken along the various phases of the PSS lifecycle using data-driven methods and tools. Key areas of focus include: 1. In the Beginning of Life, introducing new services tailored to customer needs, disclosing new business opportunities in terms of revenues, and extending the PSS Middle of Life.2. Designing or re-designing assets and/or services, thereby influencing the PSS Beginning of Life.3. Enhancing daily decisions related to asset management to improve the PSS Middle of Life.4. Optimizing daily decisions related to service delivery and management, aimed at enhancing the PSS Middle of Life.5. Facilitating informed decisions on recycling, remanufacturing, refurbishing, and revamping, impacting the PSS End of Life.This book will be of interest to researchers and managers in industry as it offers insights that bridge the gap between theory and practical application in the evolving landscape of PSS.
Data Driven: Truckers, Technology, and the New Workplace Surveillance
by Karen LevyA behind-the-scenes look at how digital surveillance is affecting the trucking way of lifeLong-haul truckers are the backbone of the American economy, transporting goods under grueling conditions and immense economic pressure. Truckers have long valued the day-to-day independence of their work, sharing a strong occupational identity rooted in a tradition of autonomy. Yet these workers increasingly find themselves under many watchful eyes. Data Driven examines how digital surveillance is upending life and work on the open road, and raises crucial questions about the role of data collection in broader systems of social control.Karen Levy takes readers inside a world few ever see, painting a bracing portrait of one of the last great American frontiers. Federal regulations now require truckers to buy and install digital monitors that capture data about their locations and behaviors. Intended to address the pervasive problem of trucker fatigue by regulating the number of hours driven each day, these devices support additional surveillance by trucking firms and other companies. Traveling from industry trade shows to law offices and truck-stop bars, Levy reveals how these invasive technologies are reconfiguring industry relationships and providing new tools for managerial and legal control—and how truckers are challenging and resisting them.Data Driven contributes to an emerging conversation about how technology affects our work, institutions, and personal lives, and helps to guide our thinking about how to protect public interests and safeguard human dignity in the digital age.
Data-Centric Business and Applications: Advancements in Information and Knowledge Management, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #208)
by Solomiia Fedushko Peter Štarchoň Katarína GubíniováThis book stands out by exploring the significance of data in various aspects of business, including operations, decision-making, and application development, in a comprehensive and accessible manner. It delves into advanced topics such as data management, analytics, knowledge discovery, artificial intelligence, data-centric business models, emerging technologies, and ethical implications, providing a unique perspective. The book is appropriate for academics, professionals, and researchers with intermediate to advanced data management skills. Data plays a crucial role in today's rapidly evolving digital environment, serving as the foundation for businesses and the key element in driving innovation across diverse industries. This book delves into the latest advancements in data management, their impact on modern corporate settings, and advanced information and knowledge management concepts. The chapters in this book discuss various topics, including incorporating data-driven methods into business models, the difficulties and advantages of emerging technology, and the ethical aspects of making decisions based on data.
Data-Centric Artificial Intelligence for Multidisciplinary Applications
by Parikshit N. Mahalle Gitanjali R. Shinde Namrata N. WasatkarThis book explores the need for a data‑centric AI approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.• Includes a collection of case studies with experimentation results to adhere to the practical approaches• Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways• Discusses methodologies to achieve accurate results by improving the quality of data• Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications