Data-Driven Modelling and Predictive Analytics in Business and Finance

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Publisher : CRC Press
ISBN 13 : 1040088465
Total Pages : 443 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data-Driven Modelling and Predictive Analytics in Business and Finance by : Alex Khang

Download or read book Data-Driven Modelling and Predictive Analytics in Business and Finance written by Alex Khang and published by CRC Press. This book was released on 2024-07-24 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Synergy of AI and Fintech in the Digital Gig Economy

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Publisher : CRC Press
ISBN 13 : 1040117082
Total Pages : 442 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Synergy of AI and Fintech in the Digital Gig Economy by : Alex Khang

Download or read book Synergy of AI and Fintech in the Digital Gig Economy written by Alex Khang and published by CRC Press. This book was released on 2024-09-30 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of Artificial Intelligence (AI) and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the context of the digital gig economy. This emerging trend has created a unique set of challenges and opportunities, which AI and Fintech are poised to address. This book explores how the convergence of these cutting-edge technologies is reshaping the financial landscape, especially related to the way people work and earn in the gig economy, and examines the rise of the digital gig economy and its impact on the traditional workforce. Synergy of AI and Fintech in the Digital Gig Economy presents the key advancements in AI and Fintech, how they are disrupting traditional financial systems, and how AI-powered tools and platforms are streamlining financial processes, enhancing decision-making, and providing personalized services to individuals and businesses. The book explores how the synergy of AI and Fintech is advancing financial inclusion and looks at how these technologies are providing previously underserved populations with access to financial services and empowering them to participate in the global economy. Highlights include how AI and Fintech are revolutionizing risk assessment and management in the financial sector and discuss the use of advanced algorithms to detect fraud, assess creditworthiness, and mitigate financial risk more effectively. The book also addresses the regulatory challenges and ethical considerations arising from the integration of AI and Fintech and discusses the need for responsible AI and data privacy to ensure sustainable development. Insights, case studies, and practical examples provided in the book show how AI and Fintech are driving transformative changes and represent an area of significant interest and importance in the realm of finance and technology. Written for students, scholars, lecturers, researchers, scientists, experts, specialists, and engineers, this book represents an area of significant interest and importance in the realm of finance and technology. Real-world examples and contributions from industry experts give readers a comprehensive understanding of this hot trending topic.

Revolutionizing the AI-Digital Landscape

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Publisher : CRC Press
ISBN 13 : 1040038301
Total Pages : 367 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Revolutionizing the AI-Digital Landscape by : Alex Khang

Download or read book Revolutionizing the AI-Digital Landscape written by Alex Khang and published by CRC Press. This book was released on 2024-06-07 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the growing influence of artificial intelligence in the marketing sphere, providing insights into how AI can be harnessed for developing more effective and efficient marketing strategies. In addition, the book will also offer a comprehensive overview of the various digital marketing tools available to entrepreneurs, discussing their features, benefits, and potential drawbacks. This will help entrepreneurs make well-informed decisions when selecting the tools most suited to their needs and objectives. It is designed to help entrepreneurs develop and implement successful strategies, leveraging the latest tools and technologies to achieve their business goals. As the digital landscape continues to evolve rapidly, this book aims to serve as a valuable resource for entrepreneurs looking to stay ahead of the curve and capitalize on new opportunities. The book's scope encompasses a wide range of topics, including customer experience, content marketing, AI strategy, and digital marketing tools.

AI-Centric Modeling and Analytics

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Publisher : CRC Press
ISBN 13 : 1003815383
Total Pages : 356 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis AI-Centric Modeling and Analytics by : Alex Khang

Download or read book AI-Centric Modeling and Analytics written by Alex Khang and published by CRC Press. This book was released on 2023-12-06 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, machine learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries. This reference book targets a mixed audience of engineers and business analysts, researchers, professionals, and students from various fields.

Modeling Techniques in Predictive Analytics

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Publisher : Pearson Education
ISBN 13 : 0133886018
Total Pages : 376 pages
Book Rating : 4.1/5 (338 download)

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Book Synopsis Modeling Techniques in Predictive Analytics by : Thomas W. Miller

Download or read book Modeling Techniques in Predictive Analytics written by Thomas W. Miller and published by Pearson Education. This book was released on 2015 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will teach you crucial skills you don't yet have. This guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University's pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today's key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively.

AI-Oriented Competency Framework for Talent Management in the Digital Economy

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Publisher : CRC Press
ISBN 13 : 1040022251
Total Pages : 457 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis AI-Oriented Competency Framework for Talent Management in the Digital Economy by : Alex Khang

Download or read book AI-Oriented Competency Framework for Talent Management in the Digital Economy written by Alex Khang and published by CRC Press. This book was released on 2024-05-29 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the digital-driven economy era, an AI-oriented competency framework (AIoCF) is a collection to identify AI-oriented knowledge, attributes, efforts, skills, and experiences (AKASE) that directly and positively affect the success of employees and the organization. The application of skills-based competency analytics and AI-equipped systems is gradually becoming accepted by business and production organizations as an effective tool for automating several managerial activities consistently and efficiently in developing and moving the capacity of a company up to a world-class level. AI-Oriented Competency Framework for Talent Management in the Digital Economy: Models, Technologies, Applications, and Implementation discusses all the points of an AIoCF, which includes predictive analytics, advisory services, predictive maintenance, and automated processes, which help to make the operations of project management, personnel management, or administration more efficient, profitable, and safe. The book includes the functionality of emerging career pathways, hybrid learning models, and learning paths related to the learning and development of employees in the production or delivery fields. It also presents the relationship between skills taxonomy and competency framework with interactive methods using datasets, processing workflow diagrams, and architectural diagrams for easy understanding of the application of intelligent functions in role-based competency systems. By also covering upcoming areas of AI and data science in many government and private organizations, the book not only focuses on managing big data and cloud resources of the talent management system but also provides cybersecurity techniques to ensure that systems and employee competency data are secure. This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of workforce training, human resources, talent management systems, requirement, headhunting, outsourcing, and manpower consultant services from different cultures and industries in the era of digital economy.

Creating a Data-Driven Organization

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491916885
Total Pages : 300 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Creating a Data-Driven Organization by : Carl Anderson

Download or read book Creating a Data-Driven Organization written by Carl Anderson and published by "O'Reilly Media, Inc.". This book was released on 2015-07-23 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.

Unleash Financial Mastery in 2024

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Publisher : epubli
ISBN 13 : 3759885853
Total Pages : 337 pages
Book Rating : 4.7/5 (598 download)

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Book Synopsis Unleash Financial Mastery in 2024 by : Azhar ul Haque Sario

Download or read book Unleash Financial Mastery in 2024 written by Azhar ul Haque Sario and published by epubli. This book was released on 2024-10-03 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tired of feeling lost in the financial wilderness? Ready to ditch those get-rich-quick schemes and embrace lasting financial wisdom? Unleash Financial Mastery in 2024 is your trusty map and compass, guiding you through the twists and turns of the money world. This isn't your grandpa's finance book. We're talking about building a future where everyone has a seat at the financial table, where investments heal the planet instead of harming it. We'll dive headfirst into the psychology of money – because let's face it, our brains can be our own worst enemy when it comes to cash. Ever heard of FinTech? It's not just a buzzword, it's a revolution. This book reveals how technology is shaking up the financial world and putting power back in your hands. But knowledge is power, right? That's why we're arming you with the financial know-how to make smart choices, dodge those debt traps, and build a future you're excited about. Think finance is just for suits on Wall Street? Think again. We're pulling back the curtain on how businesses make their money magic happen, how markets dance to the tune of supply and demand, and how the rules of the game keep things (mostly) fair. We'll even journey into the world of microloans, where small sums of money spark big changes in communities that need it most. But this isn't just about theory – it's about YOU. We'll map out a personalized path to financial success, whether you're dreaming of early retirement, starting a business, or just making ends meet without the stress sweats.

AI and IoT-Based Technologies for Precision Medicine

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 585 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI and IoT-Based Technologies for Precision Medicine by : Khang, Alex

Download or read book AI and IoT-Based Technologies for Precision Medicine written by Khang, Alex and published by IGI Global. This book was released on 2023-10-18 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.

Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy

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Publisher : CRC Press
ISBN 13 : 1003851916
Total Pages : 411 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy by : Alex Khang

Download or read book Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy written by Alex Khang and published by CRC Press. This book was released on 2024-02-27 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market. Within this book, the reader will learn how to implement IoT devices, IoT-equipped machines, and AI-equipped IoT applications using models and methodologies along with an array of case studies. Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy covers the basics of IoT-equipped machines in developing and managing various activities in many industries. It discusses all of the key points of an AI-enabled IoT solution, which includes predictive analytics, robotic process automation, predictive maintenance, automated processes, IoT technologies and IoT-equipped sensors related to machines and processes, production testing systems, and product assessment processes in the production environment. The book presents the concepts and interactive methods using datasets, processing workflow charts, and architectural diagrams along with additional real-time systems for easy and fast understanding of the application of IoT-equipped machines and AI-enabled solutions in organizations and includes many case studies throughout the book to enforce reader comprehension. This book is an ideal read for industry specialists, practitioners, researchers, scientists, and engineers working or involved in the fields of Robotics, IT, Computer Science, Soft Computing, IoT, AL/ML/DL, Data Science, the Semantic Web, Knowledge Engineering, and other related fields.

Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 422 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing by : Azman, Norhidayah

Download or read book Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing written by Azman, Norhidayah and published by IGI Global. This book was released on 2024-10-03 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's dynamic digital marketing landscape, understanding and predicting tourist behavior is a significant challenge for businesses and organizations in the tourism sector. Consumer choices are influenced by various factors, making it essential to use innovative approaches and insights to engage with tourists and enhance their overall experience effectively. Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing is a comprehensive collection of papers addressing conventional paradigms and exploring contemporary research methodology advancements. This book offers fresh perspectives to help the tourism sector understand and analyze tourist behavior in the digital era. The book examines tourist behavior holistically and provides a roadmap for stakeholders to develop targeted strategies and initiatives. By leveraging insights from the latest research, businesses can tailor their marketing efforts to meet tourists' evolving needs and preferences, ultimately enhancing customer satisfaction and loyalty. Public sector organizations can also use these insights to formulate destination marketing and development plans that resonate with tourists, thereby driving economic growth and sustainable tourism practices.

Deep Learning Concepts in Operations Research

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Publisher : CRC Press
ISBN 13 : 1040102360
Total Pages : 277 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Deep Learning Concepts in Operations Research by : Biswadip Basu Mallik

Download or read book Deep Learning Concepts in Operations Research written by Biswadip Basu Mallik and published by CRC Press. This book was released on 2024-08-30 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines: An overview of applications and computing devices Deep learning impacts in the field of AI Deep learning as state-of-the-art approach to AI Exploring deep learning architecture for cutting-edge AI solutions Operations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.

Predictive Intelligence for Data-Driven Managers

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Author :
Publisher : Springer Nature
ISBN 13 : 3030694038
Total Pages : 275 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Predictive Intelligence for Data-Driven Managers by : Uwe Seebacher

Download or read book Predictive Intelligence for Data-Driven Managers written by Uwe Seebacher and published by Springer Nature. This book was released on 2021-03-26 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the marketing practice, without external support and additional investments. Using a predictive intelligence (PI) ecosystem, the book first introduces and explains the most important concepts and terminology. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company. The book also demonstrates a PI self-test which helps managers identify the initial steps. In addition, a blueprint for a PI tech stack is defined for the first time, showing how IT can best support the topic. Finally, the PI competency model summarizes all elements into an action model for the company. The entire book is underpinned with practical examples, and case studies show how predictive intelligence, in the spirit of data-driven management, can be used profitably in the short, medium, and long terms.

Data Science for Business

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 506 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Data Science for Business by : Foster Provost

Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

The AI-Powered Enterprise

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Author :
Publisher : Lifetree Media
ISBN 13 : 9781928055501
Total Pages : 320 pages
Book Rating : 4.0/5 (555 download)

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Book Synopsis The AI-Powered Enterprise by : Seth Earley

Download or read book The AI-Powered Enterprise written by Seth Earley and published by Lifetree Media. This book was released on 2020-04-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence--AI--is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave--rather than be crushed by it--need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.

Recent Advancements in Computational Finance and Business Analytics

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Author :
Publisher : Springer Nature
ISBN 13 : 3031380746
Total Pages : 642 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Recent Advancements in Computational Finance and Business Analytics by : Rangan Gupta

Download or read book Recent Advancements in Computational Finance and Business Analytics written by Rangan Gupta and published by Springer Nature. This book was released on 2023-10-29 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment. This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains: Business Analytics Financial Analytics Human Resource Analytics Marketing Analytics

Predictive Analytics, Data Mining and Big Data

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Author :
Publisher : Springer
ISBN 13 : 1137379286
Total Pages : 241 pages
Book Rating : 4.1/5 (373 download)

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Book Synopsis Predictive Analytics, Data Mining and Big Data by : S. Finlay

Download or read book Predictive Analytics, Data Mining and Big Data written by S. Finlay and published by Springer. This book was released on 2014-07-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.