Industrial Applications Of Big Data Ai And Blockchain

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Industrial Applications of Big Data, AI, and Blockchain

Author : El Samad, Mahmoud
Publisher : IGI Global
ISBN 13 :
Total Pages : 366 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Industrial Applications of Big Data, AI, and Blockchain by : El Samad, Mahmoud

Download or read book Industrial Applications of Big Data, AI, and Blockchain written by El Samad, Mahmoud and published by IGI Global. This book was released on 2024-01-29 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.

Blockchain for Big Data

Author : Shaoliang Peng
Publisher : CRC Press
ISBN 13 : 9781032063133
Total Pages : 0 pages
Book Rating : 4.0/5 (631 download)

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Book Synopsis Blockchain for Big Data by : Shaoliang Peng

Download or read book Blockchain for Big Data written by Shaoliang Peng and published by CRC Press. This book was released on 2023-09-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analysing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats permeate every link of the big data industry chain, such as data production, collection, processing, and sharing, and the causes of risk are complex and interwoven. Blockchain technology has been highly praised and recognised for its decentralised infrastructure, anonymity, security, and other characteristics, and it will change the way we access and share information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the development of big data while also helping to overcome security and privacy challenges. The author investigates research into and the application of blockchain technology in the field of big data and assesses the attendant advantages and challenges while discussing the possible future directions of the convergence of blockchain and big data. After mastering concepts and technologies introduced in this work, readers will be able to understand the technical evolution, similarities, and differences between blockchain and big data technology, allowing them to further apply it in their development and research.--Publisher website.

Fintech with Artificial Intelligence, Big Data, and Blockchain

Author : Paul Moon Sub Choi
Publisher : Springer Nature
ISBN 13 : 9813361379
Total Pages : 306 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Fintech with Artificial Intelligence, Big Data, and Blockchain by : Paul Moon Sub Choi

Download or read book Fintech with Artificial Intelligence, Big Data, and Blockchain written by Paul Moon Sub Choi and published by Springer Nature. This book was released on 2021-03-08 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.

Big Data and Blockchain for Service Operations Management

Author : Ali Emrouznejad
Publisher : Springer Nature
ISBN 13 : 3030873048
Total Pages : 350 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Big Data and Blockchain for Service Operations Management by : Ali Emrouznejad

Download or read book Big Data and Blockchain for Service Operations Management written by Ali Emrouznejad and published by Springer Nature. This book was released on 2022-02-12 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research, development, and applications of big data and blockchain, as embedded in the fields of mathematics, engineering, computer science, physics, economics, business, management, and life sciences, to help service operations management.

Blockchain, Big Data and Machine Learning

Author : Neeraj Kumar
Publisher : CRC Press
ISBN 13 : 1000163490
Total Pages : 346 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Blockchain, Big Data and Machine Learning by : Neeraj Kumar

Download or read book Blockchain, Big Data and Machine Learning written by Neeraj Kumar and published by CRC Press. This book was released on 2020-09-25 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.

Big Data and Artificial Intelligence in Digital Finance

Author : John Soldatos
Publisher : Springer Nature
ISBN 13 : 3030945901
Total Pages : 371 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Big Data and Artificial Intelligence in Digital Finance by : John Soldatos

Download or read book Big Data and Artificial Intelligence in Digital Finance written by John Soldatos and published by Springer Nature. This book was released on 2022 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. Introduces the latest advances in Big Data and AI in Digital Finance that enable scalable, effective, and real-time analytics; Explains the merits of Blockchain technology in digital finance, including applications beyond the blockbuster cryptocurrencies; Presents practical applications of cutting edge digital technologies in the digital finance sector; Illustrates the regulatory environment of the financial sector and presents technical solutions that boost compliance to applicable regulations; This book is open access, which means that you have free and unlimited access.

Blockchain and Crypto Currency

Author : Makoto Yano
Publisher : Springer Nature
ISBN 13 : 9811533768
Total Pages : 151 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Blockchain and Crypto Currency by : Makoto Yano

Download or read book Blockchain and Crypto Currency written by Makoto Yano and published by Springer Nature. This book was released on 2020-04-15 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book contributes to the creation of a cyber ecosystem supported by blockchain technology in which technology and people can coexist in harmony. Blockchains have shown that trusted records, or ledgers, of permanent data can be stored on the Internet in a decentralized manner. The decentralization of the recording process is expected to significantly economize the cost of transactions. Creating a ledger on data, a blockchain makes it possible to designate the owner of each piece of data, to trade data pieces, and to market them. This book examines the formation of markets for various types of data from the theory of market quality proposed and developed by M. Yano. Blockchains are expected to give data itself the status of a new production factor. Bringing ownership of data to the hands of data producers, blockchains can reduce the possibility of information leakage, enhance the sharing and use of IoT data, and prevent data monopoly and misuse. The industry will have a bright future as soon as better technology is developed and when a healthy infrastructure is created to support the blockchain market.

Technologies and Applications for Big Data Value

Author : Edward Curry
Publisher : Springer Nature
ISBN 13 : 3030783073
Total Pages : 555 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Technologies and Applications for Big Data Value by : Edward Curry

Download or read book Technologies and Applications for Big Data Value written by Edward Curry and published by Springer Nature. This book was released on 2022 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Information For Efficient Decision Making: Big Data, Blockchain And Relevance

Author : Kashi R Balachandran
Publisher : World Scientific
ISBN 13 : 9811220484
Total Pages : 715 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Information For Efficient Decision Making: Big Data, Blockchain And Relevance by : Kashi R Balachandran

Download or read book Information For Efficient Decision Making: Big Data, Blockchain And Relevance written by Kashi R Balachandran and published by World Scientific. This book was released on 2020-11-19 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can there be reliable information that is also relevant to decision making? Information for Efficient Decision Making: Big Data, Blockchain and Relevance focuses on the consolidation of information to facilitate making decisions in firms, in order to make their operations efficient to reduce their costs and consequently, increase their profitability. The advent of blockchain has generated great interest as an alternative to centralized organizations, where the data is gathered through a centralized ledger keeping of activities of the firm. The decentralized ledger keeping is one of the main features of blockchain that has given rise to many issues of technology, development, implementation, privacy, acceptance, evaluation and so on. Blockchain concept is a follow-up to big data environment facilitated by enormous progress in computer hardware, storage capacities and technological prowess. This has resulted in the rapid acquiring of data not considered possible earlier. With shrewd modeling analytics and algorithms, the applications have grown to significant levels. This handbook discusses the progress in data collection, pros and cons of collecting information on decentralized publicly available ledgers and several applications.

Blockchain and AI Technology in the Industrial Internet of Things

Author : Pani, Subhendu Kumar
Publisher : IGI Global
ISBN 13 : 1799866955
Total Pages : 317 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Blockchain and AI Technology in the Industrial Internet of Things by : Pani, Subhendu Kumar

Download or read book Blockchain and AI Technology in the Industrial Internet of Things written by Pani, Subhendu Kumar and published by IGI Global. This book was released on 2021-01-08 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain and artificial intelligence (AI) in industrial internet of things is an emerging field of research at the intersection of information science, computer science, and electronics engineering. The radical digitization of industry coupled with the explosion of the internet of things (IoT) has set up a paradigm shift for industrial and manufacturing companies. There exists a need for a comprehensive collection of original research of the best performing methods and state-of-the-art approaches in this area of blockchain, AI, and the industrial internet of things in this new era for industrial and manufacturing companies. Blockchain and AI Technology in the Industrial Internet of Things compares different approaches to the industrial internet of things and explores the direct impact blockchain and AI technology have on the betterment of the human life. The chapters provide the latest advances in the field and provide insights and concerns on the concept and growth of the industrial internet of things. While including research on security and privacy, supply chain management systems, performance analysis, and a variety of industries, this book is ideal for professionals, researchers, managers, technologists, security analysts, executives, practitioners, researchers, academicians, and students looking for advanced research and information on the newest technologies, advances, and approaches for blockchain and AI in the industrial internet of things.

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing

Author : Om Prakash Jena
Publisher : CRC Press
ISBN 13 : 1000600300
Total Pages : 213 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing by : Om Prakash Jena

Download or read book Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing written by Om Prakash Jena and published by CRC Press. This book was released on 2022-06-22 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities. Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers. Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure Covers the effects that the 4th Industrial Revolution has on industrial infrastructures Looks at industry change patterns and innovations that are speeding up industrial transformation activities Om Prakash Jena is currently working as an associate professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. Sabyasachi Pramanik is an assistant professor in the Department of Computer Science and Engineering, Haldia Institute of Technology, India. Ahmed A. Elngar is an associate professor in the Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt. He is also an associate professor in the College of Computer Information Technology, chair of the Scientific Innovation Research Group (SIRG), and director of the Technological and Informatics Studies Center (TISC), American University in the Emirates, United Arab Emirates.

Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology

Author : Saini, Kavita
Publisher : IGI Global
ISBN 13 : 179988368X
Total Pages : 309 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology by : Saini, Kavita

Download or read book Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology written by Saini, Kavita and published by IGI Global. This book was released on 2021-12-24 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is no doubt that there has been much excitement regarding the pioneering contributions of artificial intelligence (AI), the internet of things (IoT), and blockchain technologies and tools in visualizing and realizing smarter as well as sophisticated systems and services. However, researchers are being bombarded with various machine and deep learning algorithms, which are categorized as a part and parcel of the enigmatic AI discipline. The knowledge discovered gets disseminated to actuators and other concerned systems in order to empower them to intelligently plan and insightfully execute appropriate tasks with clarity and confidence. The IoT processes in conjunction with the AI algorithms and blockchain technology are bound to lay out a stimulating foundation for producing and sustaining smarter systems for society. Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology articulates and accentuates various AI algorithms, fresh innovations in the IoT, and blockchain spaces. The domain of transforming raw data to information and to relevant knowledge is gaining prominence with the availability of data ingestion, processing, mining, analytics algorithms, platforms, frameworks, and other accelerators. Covering topics such as blockchain applications, Industry 4.0, and cryptography, this book serves as a comprehensive guide for AI researchers, faculty members, IT professionals, academicians, students, researchers, and industry professionals.

The Organisation of Tomorrow

Author : Mark Van Rijmenam
Publisher : Routledge
ISBN 13 : 1000007677
Total Pages : 169 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis The Organisation of Tomorrow by : Mark Van Rijmenam

Download or read book The Organisation of Tomorrow written by Mark Van Rijmenam and published by Routledge. This book was released on 2019-07-19 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society. Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.

Transforming Management with AI, Big-Data, and IoT

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030867498
Total Pages : 315 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Transforming Management with AI, Big-Data, and IoT by : Fadi Al-Turjman

Download or read book Transforming Management with AI, Big-Data, and IoT written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2022-02-17 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

AI and Big Data’s Potential for Disruptive Innovation

Author : Strydom, Moses
Publisher : IGI Global
ISBN 13 : 1522596895
Total Pages : 405 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis AI and Big Data’s Potential for Disruptive Innovation by : Strydom, Moses

Download or read book AI and Big Data’s Potential for Disruptive Innovation written by Strydom, Moses and published by IGI Global. This book was released on 2019-09-27 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications

Author : Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi
Publisher : Bentham Science Publishers
ISBN 13 : 9815179195
Total Pages : 196 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications by : Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi

Download or read book Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications written by Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi and published by Bentham Science Publishers. This book was released on 2023-12-25 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether you're a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, big data, and cloud computing.

An Introduction to Data

Author : Francesco Corea
Publisher : Springer
ISBN 13 : 3030044688
Total Pages : 131 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis An Introduction to Data by : Francesco Corea

Download or read book An Introduction to Data written by Francesco Corea and published by Springer. This book was released on 2018-11-27 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.