Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from today. Although AI can change our lives, it comes also with some responsibilities. We need to start thinking about how to properly design an AI engine for specific purposes, as well as how to control it (and perhaps switch it off if needed). And above all, we need to start trusting our technology, and its ability to reach an effective and smart decision.

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.

Unlock the Future of Innovation with AI-Driven Investment Strategies! Investing in AI and Emerging Technologies: AI-Driven Disruption in Traditional Industries is your essential guide to understanding the transformative power of Artificial Intelligence (AI) and how it's reshaping traditional industries. Designed for investors and business leaders alike, this comprehensive book explores the vast opportunities that AI presents across sectors such as healthcare, finance, manufacturing, retail, and more. Discover how to leverage AI to drive innovation, economic growth, and sustainable development. What You'll Discover Inside This Book: The AI Revolution: Gain a deep understanding of the evolution of AI and its rapid integration into various industries. Learn how AI is driving unprecedented innovation and contributing to economic growth worldwide. Impact Across Industries: Explore how AI is revolutionizing traditional sectors by automating complex tasks, enhancing decision-making processes, and unlocking new business models. See real-world examples of AI's impact on healthcare, finance, manufacturing, and retail. Ethical and Regulatory Challenges: Delve into the ethical considerations surrounding AI, including issues related to bias, transparency, and data privacy. Understand the regulatory landscape and how these factors influence investment decisions and the adoption of AI technologies. Emerging Markets and Sustainable Development: Discover the role of AI in driving growth in emerging markets and promoting sustainable development. Learn how AI is creating opportunities for economic advancement and addressing global challenges. Future Trends and Investment Opportunities: Stay ahead of the curve with insights into the future of AI, including its convergence with other emerging technologies like quantum computing, blockchain, and biotechnology. Identify key investment opportunities and trends that will shape the future of various industries. Why This Book is a Must-Read: Whether you're an experienced investor seeking to diversify your portfolio or a business leader aiming to understand the implications of AI for your industry, Investing in AI and Emerging Technologies provides the knowledge and tools you need to make informed decisions. This book offers actionable insights to capitalize on the next wave of technological disruption, ensuring you stay ahead in a rapidly evolving market. Prepare for the Next Technological Revolution! Unlock the potential of AI-driven innovation and secure your place in the future of technology. With this book, you'll gain a comprehensive understanding of how AI is reshaping industries and creating investment opportunities. Dive into Investing in AI and Emerging Technologies today and be a part of the AI-driven revolution!

This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need). The idea of this work is indeed to provide some food for thoughts on how AI is impacting few verticals (insurance and financial services), affecting horizontal and technical applications (speech recognition and blockchain), and changing organizational structures (introducing new figures or dealing with ethical issues). The structure of the chapter is very similar, so I hope the reader won’t find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for. The first chapter of the book is indeed showing the potential and the achievements of new AI techniques in the speech recognition domain, touching upon the topics of bots and conversational interfaces. The second and thirds chapter tackle instead verticals that are historically data-intensive but not data-driven, i.e., the financial sector and the insurance one. The following part of the book is the more technical one (and probably the most innovative), because looks at AI and its intersection with another exponential technology, namely the blockchain. Finally, the last chapters are instead more operative, because they concern new figures to be hired regardless of the organization or the sector, and ethical and moral issues related to the creation and implementation of new type of algorithms.

This book explores the concepts and techniques of IoT, AI, and blockchain. Also discussed is the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book allows both practitioners and researchers to share their opinions and recent research in the convergence of these technologies among academicians and industry people. The contributors present their technical evaluation and compare it with existing technologies. Theoretical explanation and experimental case studies related to real-time scenarios are also included. This book pertains to IT professionals, researchers and academicians working on fourth revolution technologies.

Welcome to the world of AI Business Models. In this rapidly evolving digital era, the fusion of artificial intelligence (AI) with business strategies has become a pivotal force reshaping industries across the globe. This book navigates the readers into the intricate tapestry of AI-driven business models, exploring the transformative potential, challenges, and opportunities that lie ahead. As authors, we embarked on this journey with a shared vision: to unravel the complexities of AI business models and provide readers with valuable insights into navigating this dynamic landscape. Our collective expertise in AI technologies, business strategy, and innovation has culminated in a comprehensive exploration of the subject matter. The books identify, evaluate, and compare various AI business models including product-based, service-based, subscription-based, cloud-based, data-centric, open-source, collaborative, platform-based and ecosystem-based AI business models. Efforts were also made to provide various real-world examples, use cases, and case studies to support the discussions carried out throughout the book. Furthermore, the book highlights the pivotal role of collaboration and community-driven innovation in shaping the future of AI business models. Whether through open-source initiatives or industry-specific ecosystems, the collective intelligence of diverse stakeholders is paramount in driving AI advancements and addressing real-world challenges. As you embark on this exploration of AI business models, we encourage you to approach each chapter with an open mind and a willingness to embrace the transformative potential of AI technologies. Whether you are a seasoned entrepreneur, a business leader, or an aspiring innovator, this book offers valuable insights and practical guidance to navigate the ever-changing landscape of AI-driven entrepreneurship.