Artificial Intelligence in the Age of Big Data: Unleashing the Power of Data Science PDF Download

Author: Dr.Talluri.Sunil Kumar
Publisher: Leilani Katie Publication
ISBN: 9363489396
Category : Computers
Languages : en
Pages : 207

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Book Description
Dr.Talluri.Sunil Kumar, Professor, CSE-(CyS, DS) and AI&DS, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. Manmath Nath Das, Assistant Professor, Artificial Intelligence and Data Science (AI & DS), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799824616
Category : Science
Languages : en
Pages : 1961

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Book Description
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.

Author: Mehmet Emin Erendor
Publisher: CRC Press
ISBN: 1040216153
Category : Computers
Languages : en
Pages : 265

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Book Description
Although recent advances in technology have made life easier for individuals, societies, and states, they have also led to the emergence of new and different problems in the context of security. In this context, it does not seem possible to analyze the developments in the field of cyber security only with information theft or hacking, especially in the age of artificial intelligence and autonomous weapons. For this reason, the main purpose of this book is to explain the phenomena from a different perspective by addressing artificial intelligence and autonomous weapons, which remain in the background while focusing on cyber security. By addressing these phenomena, the book aims to make the study multidisciplinary and to include authors from different countries and different geographies. The scope and content of the study differs significantly from other books in terms of the issues it addresses and deals with. When we look at the main features of the study, we can say the following: Handles the concept of security within the framework of technological development Includes artificial intelligence and radicalization, which has little place in the literature Evaluates the phenomenon of cyber espionage Provides an approach to future wars Examines the course of wars within the framework of the Clausewitz trilogy Explores ethical elements Addresses legal approaches In this context, the book offers readers a hope as well as a warning about how technology can be used for the public good. Individuals working in government, law enforcement, and technology companies can learn useful lessons from it.

Author: Sze-chuan Suen
Publisher: Cambridge University Press
ISBN: 1108836739
Category : Business & Economics
Languages : en
Pages : 203

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Book Description
This overview of interdisciplinary research partnerships applying AI, IE, and OR in societal and operational problems in a variety of healthcare settings highlights how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include doctors, policy-makers, social scientists, and engineers.

Author: Mohan Subramaniam
Publisher: MIT Press
ISBN: 0262046997
Category : Business & Economics
Languages : en
Pages : 314

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Book Description
How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era. How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels—from improving operational efficiencies to creating new data-driven services and transforming traditional products into digital platforms. He explores the ways sensors and the Internet of Things provide new kinds of customer data; presents the concept of digital competitors—other firms that have access to similar data; discusses the new digital capabilities that firms need to develop; and addresses privacy and security issues associated with data sharing. Who needs this book? Any firm that wants to revitalize traditional business models, offer a richer customer experience, and expand its competitive arena into new digital ecosystems.

Author: Deepak Kumar
Publisher: Notion Press
ISBN:
Category : Self-Help
Languages : en
Pages : 351

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Book Description
Unleashing the Power of Imaginative Intelligence in the Age of AI is a thought-provoking exploration of creativity and innovation. Drawing insights from over 130 books, this revolutionary book delves into the evolution of imaginative thinking and its world-changing potential. It examines the synergy between human imagination and AI, highlighting practical applications in healthcare, education, business, and environmental conservation. With real-life examples and hands-on workshops, readers gain valuable skills to enhance their imaginative intelligence. Discover your ImQ score and receive a free comprehensive report. The book also features 30 business problems to solve using the IMAGINE framework, enriching your understanding and application of imaginative intelligence. Join us to unlock our limitless creative potential and shape a future where human genius thrives. Welcome to the era of imaginative intelligence!

Author: Hashem, Tareq Nael
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 313

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Book Description
In the digital age, the tourism industry faces the challenge of effectively marketing destinations amidst a sea of competition and information. Marketing Information Systems (MkIS) and Big Data Analytics (BDA) hold immense potential. Yet, many organizations need help harnessing their power efficiently. Marketing and Big Data Analytics in Tourism and Events offer a comprehensive solution, deep-dive into integrating MkIS and BDA as a strategic approach to revolutionizing tourism marketing. The book aims to bridge the gap between theory and practice by examining the complexities and nuances of MkIS and BDA in promoting tourist destinations. It provides actionable insights and practical strategies for leveraging these technologies effectively. Readers will understand how AI-driven MkIS and BDA can enhance marketing campaigns, improve customer experiences, and drive business growth in the tourism sector.

Author: Marco Iansiti
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 175

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Book Description
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Author: Field Cady
Publisher: John Wiley & Sons
ISBN: 1119544084
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
Tap into the power of data science with this comprehensive resource for non-technical professionals Data Science: The Executive Summary – A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineer roles who want to fully understand data science and analytics concepts. Accomplished data scientist and author Field Cady describes both the “business side” of data science, including what problems it solves and how it fits into an organization, and the technical side, including analytical techniques and key technologies. Data Science: The Executive Summary covers topics like: Assessing whether your organization needs data scientists, and what to look for when hiring them When Big Data is the best approach to use for a project, and when it actually ties analysts’ hands Cutting edge Artificial Intelligence, as well as classical approaches that work better for many problems How many techniques rely on dubious mathematical idealizations, and when you can work around them Perfect for executives who make critical decisions based on data science and analytics, as well as mangers who hire and assess the work of data scientists, Data Science: The Executive Summary also belongs on the bookshelves of salespeople and marketers who need to explain what a data analytics product does. Finally, data scientists themselves will improve their technical work with insights into the goals and constraints of the business situation.

Author: Whig, Pawan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 334

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Book Description
In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.