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Maintaining The Competitive Advantage In Artificial Intelligence And Machine Learning
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Book Synopsis Maintaining the Competitive Advantage in Artificial Intelligence and Machine Learning by : Rand Waltzman
Download or read book Maintaining the Competitive Advantage in Artificial Intelligence and Machine Learning written by Rand Waltzman and published by . This book was released on 2020-08-31 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: If its current artificial intelligence plan is successful, China will achieve an advantage over the United States and its allies. That has significant strategic implications that the United States must address.
Book Synopsis Profiting from Artificial Intelligence by : Philipp Max Hartmann
Download or read book Profiting from Artificial Intelligence written by Philipp Max Hartmann and published by BoD – Books on Demand. This book was released on 2020-06-15 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Artificial intelligence is considered to be the engine of innovation and growth for years to come, little is known about the factors that secure a competitive advantage for companies using it. This thesis addresses this gap. Combining case study research and survey research, this study provides empirical evidence for the resource data as a potential source of competitive advantage but contingent to the type of offering. The study further propose data as a complementary asset that partially explains a strong increase of corporate research in the field of artificial intelligence contradictory to an overall decline of corporate science activities.
Book Synopsis The AI-First Company by : Ash Fontana
Download or read book The AI-First Company written by Ash Fontana and published by Penguin. This book was released on 2021-05-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.
Book Synopsis Machine Learning for Business by : Harrison Hurst
Download or read book Machine Learning for Business written by Harrison Hurst and published by . This book was released on 2020-04-03 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you prepared for the inevitable AI revolution?How can you use it in your current role as a business leader? Artificial intelligence has become the center of strategic decision making for organizations. It disrupts the way industries function - from sales and marketing to finance and HR, companies are betting on AI to give them a competitive advantage. AI for Business Leaders is a thoughtfully crafted guide book designed specifically for business people that requires no programming. Through this book, you will learn about the current state of AI, how it is disrupting businesses worldwide and in various areas, how it can impact your current role and what you can do about it. This book also delves into the different building blocks of AI and why it is necessary to have a high-level overview of these topics in today's data-driven world. We will also offer you several practical case studies at the end of the course that will test your understanding and add context to everything you have studied. By the time you have completed the book, you will be ready to apply your newly acquired knowledge to your current organization. You can make informed strategic decisions for yourself and your company. Who this course is for: CXOs, Business Managers, MBA students Entrepreneurs Any one interested in understanding and applying these technologies for business use
Book Synopsis Competing in the Age of AI by : Marco Iansiti
Download or read book Competing in the Age of AI written by Marco Iansiti and published by Harvard Business Press. This book was released on 2020-01-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Impact of Artificial Intelligence in Business and Society by : Francesco Paolo Appio
Download or read book Impact of Artificial Intelligence in Business and Society written by Francesco Paolo Appio and published by Taylor & Francis. This book was released on 2023-07-31 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.
Book Synopsis The AI Advantage by : Thomas H. Davenport
Download or read book The AI Advantage written by Thomas H. Davenport and published by MIT Press. This book was released on 2019-08-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
Book Synopsis Artificial Intelligence for Business by : Doug Rose
Download or read book Artificial Intelligence for Business written by Doug Rose and published by . This book was released on 2018-05-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis All-in On AI by : Thomas H. Davenport
Download or read book All-in On AI written by Thomas H. Davenport and published by Harvard Business Press. This book was released on 2023-01-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Wall Street Journal bestseller A Publisher's Weekly bestseller A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice. Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures. Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business models, make better decisions, have better relationships with their customers, offer better products and services, and command higher prices. Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level. If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.
Book Synopsis Artificial Intelligence in Value Creation by : Andrzej Wodecki
Download or read book Artificial Intelligence in Value Creation written by Andrzej Wodecki and published by Springer. This book was released on 2018-07-18 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence and the Changing Nature of Corporations by : Tankiso Moloi
Download or read book Artificial Intelligence and the Changing Nature of Corporations written by Tankiso Moloi and published by Springer Nature. This book was released on 2021-06-18 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process automation, could provide a source of competitive advantage to firms deploying them compared to those firms that would not have deployed these technologies. The advantages of machine learning, natural language processing, and robotic process automation in strategy formulation and strategy implementation are explored. The book illustrates the potential sources of advantage for the strategy formulation and strategy implementation processes, which can be derived from the deployment of each form of artificial intelligence.
Book Synopsis Evaluating the Effects of Artificial Intelligence on Complexity in Marketing by :
Download or read book Evaluating the Effects of Artificial Intelligence on Complexity in Marketing written by and published by GRIN Verlag. This book was released on 2021-03-30 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2018 in the subject Business economics - Offline Marketing and Online Marketing, grade: 1,9, Reutlingen University (ESB Business School), language: English, abstract: The research question explored in this paper is about a potential benefit of AI in marketing, which to this day is comparatively unexplored. Even though the concept of AI has been around since the 1950s, and current research and development make significant progress in this area, scientific literature dealing with AI in marketing consists of less than 300 published articles. This paper distinguishes itself from related papers, as it goes beyond investigating whether AI has an impact on business or not. The results of this thesis shall not only show the potential AI holds for marketing, but also suggest constant theoretical exploration of untapped fields in marketing. The Internet of things (IoT) and big data changed customer behavior and how businesses work. This trend has led to a continued increase in complexity for marketing managers. In 2017, 8.4 billion devices were connected to the internet. This number is forecasted to increase to 20.4 billion by 2020. The immense amount of data generated, collected, and analyzed has propelled new markets, such as big data and artificial intelligence. Marketing managers struggle to keep up with the sheer volume of data available and the surging complexity of marketing. Connecting dispersed data and finding patterns, leads to helpful insights, which are said to reduce complexity. Many businesses lack a clear strategy to tap into the benefits of AI and gain a competitive advantage.
Book Synopsis Combining Machine Learning and Business by : Yusep Maulana
Download or read book Combining Machine Learning and Business written by Yusep Maulana and published by OYUSEP. This book was released on 2024-04-09 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly advancing digital era, the application of machine learning in various business aspects has become a crucial key in driving innovation and success. "Combining Machine Learning and Business" is designed to provide deep insights into how the integration of machine learning and business strategy can bring about significant transformation. This book not only elaborates on concepts and theories but further takes the reader on an applied research journey that has been undertaken. The author of this book, Yusep Maulana, has spent months conducting in-depth research on the application of machine learning technology in business, with a particular focus on case studies in Switzerland and the Netherlands. Through hands-on experience and direct collaboration with business practitioners in both countries, Yusep has managed to gather valuable data and insights on how machine learning can be integrated into business processes to enhance efficiency, innovation, and competitive advantage. This book presents the results of that research in an accessible way to readers, whether they are academics, business practitioners, students, or anyone with an interest in the field of machine learning and its application in the business world. It is hoped that readers will gain a broader and more applied understanding of the potential and challenges in combining machine learning with business strategy.
Book Synopsis Every Company Needs Artificial Intelligence: Tasks, Advantages And Profits by : York P. Herpers
Download or read book Every Company Needs Artificial Intelligence: Tasks, Advantages And Profits written by York P. Herpers and published by Herpers Publishing Int. This book was released on 2023-07-30 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: In „Every Company Needs Artificial Intelligence“, the experienced management consultant, business graduate York P. Herpers, reveals the fascinating world of artificial intelligence and shows why it is indispensable for every company. Dive into the possibilities AI offers and discover how it has the potential to revolutionize the future of your business. From the basics of AI to specific use cases, this guide will show you how to use AI effectively in your business. Learn how AI streamlines your operations, improves customer service, and helps you make informed business decisions. Find out how you can use AI to strengthen your competitive position and increase your profits. But „Every company needs AI“ goes beyond the purely technical aspects. The author also sheds light on the ethical issues surrounding the use of AI and gives you valuable advice on how to use this groundbreaking technology responsibly and sustainably. Whether you are a small start-up or a well-established company, this book is the key to seizing the opportunities of artificial intelligence and successfully mastering the challenges of the future. Let an expert guide you and discover how AI can take your business to the next level. Expand your knowledge, improve your processes and increase your profits - with „Every company needs AI“ you are well prepared to be successful in the digital era. Be a pioneer in your industry and use the full potential of artificial intelligence. YPHConsulting.com
Book Synopsis How to Compete in the Age of Artificial Intelligence by : Soumendra Mohanty
Download or read book How to Compete in the Age of Artificial Intelligence written by Soumendra Mohanty and published by Apress. This book was released on 2018-09-25 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get started with artificial intelligence in your business. This book will help you understand AI, its implications, and how to adopt a strategy that is rational, relevant, and practical. Beyond the buzzwords and the technology complexities, organizations are struggling to understand what AI means for their industry and how they can start their journey. How to Compete in the Age of Artificial Intelligence is not a book about complex formulas or solution architectures. It goes deeper into explaining the meaning and relevance of AI for your business. You will learn how to apply AI thinking across enterprise functions—including disruptive technologies such as IoT, Blockchain, and cloud—and transform your organization. What You'll Learn Know how to spot AI opportunities and establish the right organizational imperatives to grow your businessUnderstand AI in the context of changing business dynamics and the workforce/skills required to succeed Discover how to apply AI thinking across enterprise functions—from the boardroom to cybersecurity, IoT, IT operations, policies—and implement a sustainable and integrated human-machine collaboration strategy Who This Book is For CxOs, senior executives, mid-level managers, AI evangelists, digital leads, and technology directors
Book Synopsis Artificial Intelligence and Machine Learning for Business by : Oliver Tensor
Download or read book Artificial Intelligence and Machine Learning for Business written by Oliver Tensor and published by Smart Creative Publishing. This book was released on 2020-10-13 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a new business owner? Or an entrepreneur looking to catch up to the big companies in your industrial sector? If you want to understand and master the fundamentals and importance of data science technologies to kick start your business or take it to the next level, then keep reading. Thanks to the smart and savvy customer of today, the competition to gain new customers while retaining the existing customers is fierce. As a result, companies are increasingly relying upon cutting edge technologies such as big data analytics, data mining technology, machine learning, and artificial intelligence technology to gain an edge over the competition.Today, machine learning and artificial intelligence have given rise to sophisticated machines that can study human behavior and activity to identify underlying human behavioral patterns and precisely predict what products and services consumers are interested in. Businesses with an eye on the future are gradually turning into technology companies under the façade of their intended business model. It is getting increasingly challenging for traditional businesses to retain their customers without adopting one or more of the cutting-edge technology explained in this book. Those entrepreneurs and business executives who have a sound understanding of the current challenges and status of their business will be primed to make informed decisions to meet the challenges head-on and improve their bottom line. Receive overarching guidance on how you can adopt any and all of the Data Science technologies in your business model to accelerate your growth rate. Learn how researchers are breaking the boundaries of data science to mimic human intelligence in machines. Learn the data science lifecycle in such extensive detail that you will be fully prepared to initiate and complete a data science implementation project in your business. Learn all about the historical development to the current explosion in this field of Big Data Analytics and how it differs data visualization techniques. Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology and learn about some data mining tools that you can leverage for your business. Gain an in-depth understanding of various machine learning algorithms do assess the best Machine learning algorithm applicable to your business model. Learn the very important concept of data science and machine learning Decision Trees, applicable to small and large businesses across the industrial spectrum, explained thoroughly using real-life examples for ease of understanding. Master the concept of sales and marketing funnel along with the tools available for sales funnel analytics in the market today. Deep dive into the concept of personalized marketing, predictive analytics, customer analytics, and exploratory data analysis presented with details on how you can make sense out of all your customer behavioral data. This book is filled with real-life examples to help you understand the nitty-gritty of all the concepts as well as names and description of multiple tools that you can further explore and selectively implement in your business to reap the benefits of these cutting-edge technologies. Would You Like to Know More? Get This Book Today to get access to Artificial Intelligence and Machine Learning power.
Book Synopsis Artificial Intelligence and Machine Learning for Business by : Steven Finlay
Download or read book Artificial Intelligence and Machine Learning for Business written by Steven Finlay and published by Relativistic. This book was released on 2017-05-28 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organisations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximise the benefits of these technologies.
