Building Successful Business Models Based On Artificial Intelligence
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Building Successful Business Models Based On Artificial Intelligence
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Author : Bert Langa
language : en
Publisher: Innovation
Release Date : 2018-05-05
Building Successful Business Models Based On Artificial Intelligence written by Bert Langa and has been published by Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-05 with Business & Economics categories.
Every few years, there is a technological trend that leads to the creation of thousands of startups and/or new businesses. At present, we can say without any doubt that one of these trends is Machine Learning (Artificial Intelligence).There is a very powerful reason that this is happening. Currently, we are transitioning from the industrial economy born in the late nineteenth century to a new digital economy centered on data. In this data economy, the success of an organization depends to a large extent on how it uses data to make better decisions. Therefore, leading companies are starting to use their data and Machine Learning algorithms to improve their business processes and, consequently, their results.To put it in context, McKinsey (one of the leading Management Consulting companies worldwide) tells us that "Tech giants including Baidu and Google are spending between $20B to $30B on AI, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions".Amazing, right? Can you imagine capturing one-thousandth of these investments with a new startup or a new business model? Well, that is the main objective of this course: explaining the key concepts of Machine Learning in a very practical way, along with the methods needed for creating disruptive Business Models based on said Tech Trend.That way, you can take advantage of this tremendous opportunity and become a successful businessperson or entrepreneur.
Building Business Models With Machine Learning
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Author : N., Ambika
language : en
Publisher: IGI Global
Release Date : 2024-11-26
Building Business Models With Machine Learning written by N., Ambika and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models. The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models.
Artificial Intelligence In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-15
Artificial Intelligence In Practice written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with Comics & Graphic Novels categories.
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.
Competing In The Age Of Ai
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Author : Marco Iansiti
language : en
Publisher: Harvard Business Press
Release Date : 2020-01-07
Competing In The Age Of Ai written by Marco Iansiti and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Business & Economics categories.
"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.
Successful Business Model Transformations In Disruptive Times
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Author : Thomas Rudolph
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-06-17
Successful Business Model Transformations In Disruptive Times written by Thomas Rudolph and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Business & Economics categories.
The authors offer solutions for established corporations facing disruptive challenges. Based on extensive research and discussion, a unique management approach, the High 5 approach, has been developed to promote successful self-disruption in established corporations. At the center of this approach is the transformation of the core business. The book supports the idea of permanent self-disruption as the key to success for established players. Successful Business Model Transformations in Disruptive Times is aimed at the management of various industries. This book provides managers in established corporations with a theoretically sound and practical guide.
Artificial Intelligence For Business
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Author : Kamales Lardi
language : en
Publisher: Kogan Page Publishers
Release Date : 2025-04-03
Artificial Intelligence For Business written by Kamales Lardi and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Computers categories.
Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide. As AI continues to evolve, it is increasingly important for businesses to make informed decisions about how to use AI to drive success and growth. Artificial Intelligence for Business aims to provide a comprehensive understanding of AI and its applications in business, making it the ideal resource for business managers and leaders looking to stay ahead of the curve. With a focus on practical applications, it helps readers understand what AI is, how it is transforming business, how it can be used to innovate and how to navigate the realities of implementation. This book looks at the combination of AI with other emerging technologies such as blockchain, internet of things and virtual and augmented reality, showing how these can work together to create new business opportunities and solve complex business problems. It provides guidance on the importance of designing AI applications that are human-centred, including inclusive design and empathy in AI. It also features contributions and insights from leading experts and a wealth of real-world examples profiling AI adoption and innovation.
Ai Based Data Analytics
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Author : Kiran Chaudhary
language : en
Publisher: CRC Press
Release Date : 2023-12-29
Ai Based Data Analytics written by Kiran Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.
This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include: The role of Explainable AI in improving customer experiences in e-commerce Sentiment analysis of social media Data analytics in business intelligence Federated learning for business intelligence AI-based planning of business management An AI-based business model innovation in new technologies An analysis of social media marketing and online impulse buying behaviour AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book’s second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.
The Three Box Solution
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Author : Vijay Govindarajan
language : en
Publisher: Harvard Business Review Press
Release Date : 2016-04-26
The Three Box Solution written by Vijay Govindarajan and has been published by Harvard Business Review Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-26 with Business & Economics categories.
How to Innovate and Execute Leaders already know that innovation calls for a different set of activities, skills, methods, metrics, mind-sets, and leadership approaches. And it is well understood that creating a new business and optimizing an already existing one are two fundamentally different management challenges. The real problem for leaders is doing both, simultaneously. How do you meet the performance requirements of the existing business—one that is still thriving—while dramatically reinventing it? How do you envision a change in your current business model before a crisis forces you to abandon it? Innovation guru Vijay Govindarajan expands the leader’s innovation tool kit with a simple and proven method for allocating the organization’s energy, time, and resources—in balanced measure—across what he calls “the three boxes”: • Box 1: The present—Manage the core business at peak profitability • Box 2: The past—Abandon ideas, practices, and attitudes that could inhibit innovation • Box 3: The future—Convert breakthrough ideas into new products and businesses The three-box framework makes leading innovation easier because it gives leaders a simple vocabulary and set of tools for managing and measuring these different sets of behaviors and activities across all levels of the organization. Supported with rich company examples—GE, Mahindra & Mahindra, Hasbro, IBM, United Rentals, and Tata Consultancy Services—and testimonies of leaders who have successfully used this framework, this book solves once and for all the practical dilemma of how to align an organization on the critical but competing demands of innovation.
Business Models
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Author : Ethan Evans
language : en
Publisher: Publifye AS
Release Date : 2025-02-28
Business Models written by Ethan Evans and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Business & Economics categories.
Business Models explores the crucial role of business models, revenue streams, and organizational structures in driving an organization's profitability and long-term sustainability. It emphasizes that a strategically designed business model is a dynamic engine for value creation, aligning market conditions, customer expectations, and internal capabilities. The book highlights the importance of adaptability and innovation in business models to capture new opportunities and maintain a competitive advantage. Discover how optimizing revenue streams can unlock hidden potential and how a well-defined organizational structure ensures efficient resource allocation, directly contributing to overall profitability and financial performance. The book begins by introducing fundamental business model concepts and established archetypes. It then analyzes diverse monetization strategies, including case studies of companies that have successfully diversified revenue streams. Next, it examines organizational structures, exploring the trade-offs between centralized and decentralized models and hierarchical versus flat organizations. Finally, it integrates these elements to demonstrate how they can be synergistically combined to achieve optimal performance and profitability. The book offers practical tools and frameworks to analyze, design, and implement effective business models, making it valuable for entrepreneurs, business managers, and students seeking to improve their organization's financial performance through better business management.
The Ai Marketing Canvas
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Author : Raj Venkatesan
language : en
Publisher: Stanford University Press
Release Date : 2021-05-18
The Ai Marketing Canvas written by Raj Venkatesan and has been published by Stanford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Business & Economics categories.
This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.