Artificial Intelligence in Value Creation

Artificial Intelligence in Value Creation
Author: Andrzej Wodecki
Publsiher: Springer
Total Pages: 340
Release: 2018-07-18
Genre: Business & Economics
ISBN: 9783319915968

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This book analyses various models of value creation in projects and businesses by applying different forms of Artificial Intelligence in their products and services. First presenting the main concepts and ideas behind AI, Wodecki assesses different models of technology-based value creation based upon the analysis of over 400 case studies. This framework shows how AI may influence both value creation and competitive advantage (efficiency, creativity and flexibility) within a modern organization. Finally, a conceptual model is formulated to evaluate AI-supported in-company projects and new ventures and identify the key managerial and technical competencies required.

Artificial Intelligence for Sustainable Value Creation

Artificial Intelligence for Sustainable Value Creation
Author: Pagani, Margherita,Champion, Renaud
Publsiher: Edward Elgar Publishing
Total Pages: 200
Release: 2021-09-07
Genre: Computers
ISBN: 9781839104398

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Artificial Intelligence for Sustainable Value Creation provides a detailed and insightful exploration of both the possibilities and the challenges that accompany widespread Artificial Intelligence

Competing in the Age of AI

Competing in the Age of AI
Author: Marco Iansiti,Karim R. Lakhani
Publsiher: Harvard Business Press
Total Pages: 288
Release: 2020-01-07
Genre: Business & Economics
ISBN: 9781633697638

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"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. 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.

Artificial Intelligence in Management

Artificial Intelligence in Management
Author: Andrzej Wodecki
Publsiher: Edward Elgar Publishing
Total Pages: 224
Release: 2020-11-27
Genre: Business & Economics
ISBN: 9781839104954

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Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.

The Economics of Artificial Intelligence

The Economics of Artificial Intelligence
Author: Ajay Agrawal,Joshua Gans,Avi Goldfarb
Publsiher: University of Chicago Press
Total Pages: 648
Release: 2019-06-07
Genre: Business & Economics
ISBN: 9780226613475

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Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley

Artificial Intelligence in Practice

Artificial Intelligence in Practice
Author: Bernard Marr
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2019-04-15
Genre: Business & Economics
ISBN: 9781119548980

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Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Demystifying AI for the Enterprise

Demystifying AI for the Enterprise
Author: Prashant Natarajan,Bob Rogers,Edward Dixon,Jonas Christensen,Kirk Borne,Leland Wilkinson,Shantha Mohan
Publsiher: CRC Press
Total Pages: 434
Release: 2021-12-31
Genre: Computers
ISBN: 9781351032926

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Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Leading Culture Change in Global Organizations

Leading Culture Change in Global Organizations
Author: Daniel Denison,Robert Hooijberg,Colleen Lief,Nancy Lane
Publsiher: John Wiley & Sons
Total Pages: 240
Release: 2012-06-27
Genre: Business & Economics
ISBN: 9781118235102

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Filled with case studies from firms such as GT Automotive, GE Healthcare China, Vale, Dominos, Swiss Re Americas Division, and Polar Bank, among others, this book (written by Dan Denison and his co-authors) combines twenty years of research and survey results to illustrate a critical set of cultural dynamics that firms need to manage in order to remain competitive. Each chapter uses a case as a means to illustrate an important aspect of culture change focusing on seven common culture-change dilemmas including creating a strategic alignment, keeping strategy simple, and more.

Creating Value with Data Analytics in Marketing

Creating Value with Data Analytics in Marketing
Author: Peter C. Verhoef,Edwin Kooge,Natasha Walk,Jaap E. Wieringa
Publsiher: Routledge
Total Pages: 336
Release: 2021-11-08
Genre: Business & Economics
ISBN: 9781000465464

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This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing. Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies. Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management. Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.

Big Data Data Mining and Machine Learning

Big Data  Data Mining  and Machine Learning
Author: Jared Dean
Publsiher: John Wiley & Sons
Total Pages: 288
Release: 2014-05-07
Genre: Computers
ISBN: 9781118920701

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With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.

Superhuman Innovation

Superhuman Innovation
Author: Chris Duffey
Publsiher: Kogan Page Publishers
Total Pages: 288
Release: 2019-03-03
Genre: Business & Economics
ISBN: 9780749483845

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DISTINGUISHED FAVOURITE: Independent Press Award 2020 - Business General Category WINNER: CES 2020 Gary's Book Club Top Technology Book of the Year Artificial Intelligence (AI) is the new electricity of our times. It is revolutionizing industries the world over, and changing how we fundamentally view and understand work. Superhuman Innovation argues that AI will supercharge the workforce and the world of work, can be harnessed to deliver powerful change to how companies innovate and gain competitive advantage. It is a practical guide to how AI and Machine Learning are impacting not only how businesses, brands, and agencies innovate, but also what they innovate: products, services and content. In a world of product and pricing parity, the delivery of superior service experience has become the new marketing, and the new real competitive edge. With AI companies can harness the power of data, personalization and on-demand availability, at the touch of an intelligent button. Superhuman Innovation discusses how AI will serve the superstar innovators of tomorrow, by enabling them to see deeper insights and set sail for higher goals. It unearths a powerful five-pronged model which describes how AI enables innovation through the offerings of Speed (facilitating work processes), Understanding (revealing and mastering deep insights), Performance (customization of delivery to customers), Experimentation (the iterative process of reinvention and feedback) and Results (tangible, measurable and optimizable results). The book is supported by varied and innovative case studies from a variety of industries.

AI for People and Business

AI for People and Business
Author: Alex Castrounis
Publsiher: O'Reilly Media
Total Pages: 316
Release: 2019-07-05
Genre: Computers
ISBN: 9781492036548

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If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend

The Elements of Big Data Value

The Elements of Big Data Value
Author: Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles
Publsiher: Springer Nature
Total Pages: 399
Release: 2021-08-01
Genre: Computers
ISBN: 9783030681760

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This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

The Fourth Industrial Revolution Implementation of Artificial Intelligence for Growing Business Success

The Fourth Industrial Revolution  Implementation of Artificial Intelligence for Growing Business Success
Author: Allam Hamdan,Aboul Ella Hassanien,Anjum Razzaque,Bahaaeddin Alareeni
Publsiher: Springer Nature
Total Pages: 483
Release: 2021-04-11
Genre: Technology & Engineering
ISBN: 9783030627966

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This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children. Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy.

Value Creation in Connectionist Artificial Intelligence a Research Agenda

Value Creation in Connectionist Artificial Intelligence   a Research Agenda
Author: Rainer Schmidt,Alfred Zimmermann,Michael Möhring,Barbara Keller
Publsiher: Unknown
Total Pages: 135
Release: 2020
Genre: Electronic Book
ISBN: OCLC:1256569154

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