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How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects
Book Synopsis Lean AI by : Lomit Patel
Download or read book Lean AI written by Lomit Patel and published by "O'Reilly Media, Inc.". This book was released on 2020-01-30 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects
Hello there! Welcome to the exciting world of launching your very own Artificial Intelligence (AI) startup! I'm Srinidhi Ranganathan, and I'm thrilled to be your guide on this incredible journey. In today's digital age, AI has become a driving force, transforming the way we do business, interact with customers, and create value in the market. As a digital marketing legend, I've had the privilege of witnessing the immense potential of AI and how it can supercharge your business like never before. This book, "Launching your Artificial Intelligence (AI) Startup," is the culmination of years of experience and insights, and it's here to change your business life. I remember when I first started out on this path from launching my startup named “First Look Digital Marketing Solutions”. The possibilities seemed limitless, but the road ahead appeared daunting. What if I could tell you that with the right strategies and a deep understanding of AI, you can not only overcome those obstacles but also catapult your startup to unprecedented heights? It's high time to harness the true power of AI to create an impact, disrupt industries, and achieve your entrepreneurial dreams. In the pages that follow, we'll explore the innovative world of AI, uncover the secrets to building virtual digital automated employees or assistants that work tirelessly for you, and discover how to scale your new startup using the incredible capabilities of artificial intelligence. We'll delve into practical strategies, real-world case studies, and expert insights to equip you with the knowledge and tools you need to succeed. This book isn't just a manual; it's a transformational experience. Whether you're a seasoned entrepreneur looking to pivot or someone just starting out, these insights will reshape your approach to business and open up new possibilities you never thought possible. So, are you ready to revolutionize your startup, leave your mark on the digital landscape, and embrace a future where AI is your greatest ally? Let's embark on this journey together and witness how this book will indeed change your business life. Welcome to a new era of entrepreneurship where the future is now, and AI is the key to unlocking its full potential. Yours truly, Digital Marketing Legend, Srinidhi Ranganathan
Book Synopsis Launch your Artificial Intelligence (AI) Startup by : Srinidhi Ranganathan
Download or read book Launch your Artificial Intelligence (AI) Startup written by Srinidhi Ranganathan and published by Srinidhi.R. This book was released on 2023-11-01 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hello there! Welcome to the exciting world of launching your very own Artificial Intelligence (AI) startup! I'm Srinidhi Ranganathan, and I'm thrilled to be your guide on this incredible journey. In today's digital age, AI has become a driving force, transforming the way we do business, interact with customers, and create value in the market. As a digital marketing legend, I've had the privilege of witnessing the immense potential of AI and how it can supercharge your business like never before. This book, "Launching your Artificial Intelligence (AI) Startup," is the culmination of years of experience and insights, and it's here to change your business life. I remember when I first started out on this path from launching my startup named “First Look Digital Marketing Solutions”. The possibilities seemed limitless, but the road ahead appeared daunting. What if I could tell you that with the right strategies and a deep understanding of AI, you can not only overcome those obstacles but also catapult your startup to unprecedented heights? It's high time to harness the true power of AI to create an impact, disrupt industries, and achieve your entrepreneurial dreams. In the pages that follow, we'll explore the innovative world of AI, uncover the secrets to building virtual digital automated employees or assistants that work tirelessly for you, and discover how to scale your new startup using the incredible capabilities of artificial intelligence. We'll delve into practical strategies, real-world case studies, and expert insights to equip you with the knowledge and tools you need to succeed. This book isn't just a manual; it's a transformational experience. Whether you're a seasoned entrepreneur looking to pivot or someone just starting out, these insights will reshape your approach to business and open up new possibilities you never thought possible. So, are you ready to revolutionize your startup, leave your mark on the digital landscape, and embrace a future where AI is your greatest ally? Let's embark on this journey together and witness how this book will indeed change your business life. Welcome to a new era of entrepreneurship where the future is now, and AI is the key to unlocking its full potential. Yours truly, Digital Marketing Legend, Srinidhi Ranganathan
Gain exclusive access to the secrets to building an enterprise AI start-up. AI innovation helps with every aspect of the business, from the supply chain, marketing, and advertising, customer service, risk management, operations to security. Industries from different verticals have been adopting AI and get real business values out of it. This book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation. You see how to perform market and technology validation, perform lean AI R&D, design AI architecture, AI product development and operationalization. The book also cover building and managing an AI team, along with attracting and keeping business and developer users, Building an Enterprise AI start-up is hard because Enterprise AI is an effort to build applications to mimic human intelligence to solve business problems. Hence it has a different challenge from building traditional non-AI applications, such as scouting, recruiting and managing AI talents; designing the most cost-efficient and scalable Enterprise AI; or establishing the best practice to operationalize AI in production As we are in the dawn of the AI-first product wave, AI-powered products for enterprises will be created for many years to come and AI Startup Strategy is the one-stop guide for it. What You'll Learn Match customer’s expectation VS technical feasibility Justify business values and ROI for customers Review the best business models for high valuation enterprise AI start-ups Design an AI product that gives a satisfactory experience for the user Register and value AI IP Who This Book is For Startup Founders, Product Managers, Software Architects/Lead Engineers, Executives
Book Synopsis AI Startup Strategy by : Adhiguna Mahendra
Download or read book AI Startup Strategy written by Adhiguna Mahendra and published by Apress. This book was released on 2023-10-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain exclusive access to the secrets to building an enterprise AI start-up. AI innovation helps with every aspect of the business, from the supply chain, marketing, and advertising, customer service, risk management, operations to security. Industries from different verticals have been adopting AI and get real business values out of it. This book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation. You see how to perform market and technology validation, perform lean AI R&D, design AI architecture, AI product development and operationalization. The book also cover building and managing an AI team, along with attracting and keeping business and developer users, Building an Enterprise AI start-up is hard because Enterprise AI is an effort to build applications to mimic human intelligence to solve business problems. Hence it has a different challenge from building traditional non-AI applications, such as scouting, recruiting and managing AI talents; designing the most cost-efficient and scalable Enterprise AI; or establishing the best practice to operationalize AI in production As we are in the dawn of the AI-first product wave, AI-powered products for enterprises will be created for many years to come and AI Startup Strategy is the one-stop guide for it. What You'll Learn Match customer’s expectation VS technical feasibility Justify business values and ROI for customers Review the best business models for high valuation enterprise AI start-ups Design an AI product that gives a satisfactory experience for the user Register and value AI IP Who This Book is For Startup Founders, Product Managers, Software Architects/Lead Engineers, Executives
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 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.
Are you a startup company looking to leverage the power of artificial intelligence (AI) but unsure where to begin? Or perhaps you've heard stories of others getting rich quick with AI and want to explore its potential for your own venture? Look no further - "The Startup's Guide to Winning with Artificial Intelligence" is the essential guide you need to navigate the complex world of AI and unlock its potential for your business. Inside "The Startups Guide to Winning With Artificial Intelligence," you'll discover: The basics of AI, machine learning, natural language processing, computer vision, and robotics. Strategies for developing an AI-driven culture and fostering innovation within your team. Tips for choosing the right AI technologies and tools that align with your business goals. Techniques for implementing AI in various aspects of your startup's operations, from customer experience to product development. Guidelines for collaborating with AI teams and vendors to ensure successful integration. Insights into the legal and ethical considerations of AI, including regulatory compliance and developing responsible AI policies. Metrics and methods for measuring AI success and ROI in your startup. Strategies for future-proofing your startup with AI, staying informed on emerging trends, and adapting to new technologies and challenges. With this book you'll gain the knowledge and confidence to embark on your AI journey, transform your startup's operations, and set the stage for long-term growth and success. Don't miss out on the opportunity to harness the incredible power of AI and join the ranks of those who are reaping the rewards of this game-changing technology. Order your copy today and take your startup to the next level! The book is divided into ten information-rich chapters, each addressing a critical aspect of AI implementation in startups: Introduction: Learn about the AI revolution, its significance for modern startups, and the difference between AI-adaptive and non-AI-adaptive startups. Basics of AI for Startups: Gain a solid foundation in AI concepts, including machine learning, natural language processing, computer vision, and robotics and automation. Developing an AI Strategy for Your Startup: Discover how to identify AI opportunities, align AI goals with your startup's vision, and prepare for AI adoption. Building an AI-Driven Culture: Uncover the secrets to fostering a data-driven environment, encouraging collaboration and innovation, and training and upskilling your team. Choosing the Right AI Technologies and Tools: Learn how to compare AI solutions and platforms, evaluate cost and scalability, and choose between open source and proprietary AI tools. Implementing AI in Your Startup's Operations: Explore practical use cases and onboarding strategies to enhance customer experience, streamline marketing and sales, optimize product development, and improve decision-making and forecasting. Collaborating with AI Teams and Vendors: Find out how to select the right AI partners, set clear expectations and goals, and ensure effective communication and integration. Legal and Ethical Considerations in AI: Navigate regulatory compliance, address ethical concerns, develop responsible AI policies, and lead in the age of AI. Measuring AI Success and ROI for Your Startup: Set key performance indicators, track AI implementation progress, calculate ROI, and evaluate AI impact and productivity. Future-Proofing Your Startup with AI: Stay informed on emerging AI trends, adapt to new AI technologies and challenges, leverage AI for long-term growth and success, and manage the life cycle of artificial intelligence.
Book Synopsis The Startups Guide to Winning With Artificial Intelligence by : Bob Bakker
Download or read book The Startups Guide to Winning With Artificial Intelligence written by Bob Bakker and published by . This book was released on 2023-05-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a startup company looking to leverage the power of artificial intelligence (AI) but unsure where to begin? Or perhaps you've heard stories of others getting rich quick with AI and want to explore its potential for your own venture? Look no further - "The Startup's Guide to Winning with Artificial Intelligence" is the essential guide you need to navigate the complex world of AI and unlock its potential for your business. Inside "The Startups Guide to Winning With Artificial Intelligence," you'll discover: The basics of AI, machine learning, natural language processing, computer vision, and robotics. Strategies for developing an AI-driven culture and fostering innovation within your team. Tips for choosing the right AI technologies and tools that align with your business goals. Techniques for implementing AI in various aspects of your startup's operations, from customer experience to product development. Guidelines for collaborating with AI teams and vendors to ensure successful integration. Insights into the legal and ethical considerations of AI, including regulatory compliance and developing responsible AI policies. Metrics and methods for measuring AI success and ROI in your startup. Strategies for future-proofing your startup with AI, staying informed on emerging trends, and adapting to new technologies and challenges. With this book you'll gain the knowledge and confidence to embark on your AI journey, transform your startup's operations, and set the stage for long-term growth and success. Don't miss out on the opportunity to harness the incredible power of AI and join the ranks of those who are reaping the rewards of this game-changing technology. Order your copy today and take your startup to the next level! The book is divided into ten information-rich chapters, each addressing a critical aspect of AI implementation in startups: Introduction: Learn about the AI revolution, its significance for modern startups, and the difference between AI-adaptive and non-AI-adaptive startups. Basics of AI for Startups: Gain a solid foundation in AI concepts, including machine learning, natural language processing, computer vision, and robotics and automation. Developing an AI Strategy for Your Startup: Discover how to identify AI opportunities, align AI goals with your startup's vision, and prepare for AI adoption. Building an AI-Driven Culture: Uncover the secrets to fostering a data-driven environment, encouraging collaboration and innovation, and training and upskilling your team. Choosing the Right AI Technologies and Tools: Learn how to compare AI solutions and platforms, evaluate cost and scalability, and choose between open source and proprietary AI tools. Implementing AI in Your Startup's Operations: Explore practical use cases and onboarding strategies to enhance customer experience, streamline marketing and sales, optimize product development, and improve decision-making and forecasting. Collaborating with AI Teams and Vendors: Find out how to select the right AI partners, set clear expectations and goals, and ensure effective communication and integration. Legal and Ethical Considerations in AI: Navigate regulatory compliance, address ethical concerns, develop responsible AI policies, and lead in the age of AI. Measuring AI Success and ROI for Your Startup: Set key performance indicators, track AI implementation progress, calculate ROI, and evaluate AI impact and productivity. Future-Proofing Your Startup with AI: Stay informed on emerging AI trends, adapt to new AI technologies and challenges, leverage AI for long-term growth and success, and manage the life cycle of artificial intelligence.
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 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 304 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.
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Book Synopsis Artificial Intelligence by : Harvard Business Review
Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
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.
Book Synopsis Artificial Intelligence in Practice by : Bernard Marr
Download or read book Artificial Intelligence in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2019-04-15 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
"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 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.
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
Book Synopsis An Intuitive Exploration of Artificial Intelligence by : Simant Dube
Download or read book An Intuitive Exploration of Artificial Intelligence written by Simant Dube and published by Springer Nature. This book was released on 2021-06-21 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
