دانلود کتاب نوآوری هوش مصنوعی در املاک و مستغلات -چگونه داده‌های هوشمند، سرمایه‌گذاری و مدیریت املاک را متحول می‌کنند

Welcome to the era of Artificial Intelligence (AI), in which this expanding technology is gradually revolutionizing our personal and professional lives. This book is designed to demystify the world of AI for you, providing a clear grasp of its fundamentals, applications, and possible impact on society. In this introductory chapter, we hope to cut through the sensationalism and present a clear image of the true face of AI. Undoubtedly, AI has become a popular buzzword in the media. Its potential to catapult economic growth has been widely anticipated. Despite its current contributions to the software sector, AI’s future influence is expected to be far more profound and widespread, permeating realms such as retail, transportation, manufacturing, and, most importantly, the real estate sector. It would be difficult to imaginea commercial domain that will remain unaffected by AI’s disruptive power in the coming years. However, as the anticipation for AI grows, unnecessary hype has emerged, which must be dispelled. In the following chapter, we will explore why now is the right time for AI to disrupt the real estate business, as well as how it is reshaping emerging economies and labor markets. This information will help you and your company navigate the AI wave more effectively. In Chapter 2, we will introduce you to AI and discuss the distinctions between artificial general intelligence and artificial narrow intelligence. In Chapter 3, we explain the concept of machine learning, which you may have come across. It plays a critical role in AI development. Chapter 4 delves into the foundation of AI: data. We explore its multidimensional structure, how to separate meaningful data from noise, and, most importantly, how to identify and mitigate biases in AI systems. Chapter 5 discusses how AI enhances machine learning by automating decision-making processes. In Chapter 6, we examine the advent of deep learning, which has contributed significantly to the recent explosion in machine learning. Here, we define deep learning and its capabilities, particularly for artificial narrow intelligence tasks. In Chapter 7, we explain what large language models (LLMs) are and why GPT has triggered a new wave. Large Language Models (LLMs), such as GPT, are transforming the real estate business by improving customer service, reducing administrative tasks, and providing sophisticated market insights via predictive analytics. Their capacity to customize marketing content and learn from client interactions provides a substantial competitive advantage. Embracing LLM technology is critical for real estate professionals looking to improve operations, engage clients more efficiently, and anticipate future market trends. As the industry advances, companies that include LLMs in their business plans will be at the vanguard, ready to profit from the efficiency and opportunities that these advanced AI tools provide. In Chapter 8, we delve into the cycle of innovation and expand your understanding of AI by investigating its applications and potential ways to solve your problems. You will learn how to be imaginative and use AI to create useful applications. You will study the stages involved in creating an AI project and selecting projects that are both technically feasible and beneficial to you, your company, or another organization. We then guide you through the process of developing AI projects and offer solutions for integrating AI into your organization. Learning about the AI transformation playbook can help you understand how to establish AI teams and develop complex AI products, enabling your business to become AI proficient. Chapter 9 explains why forming an AI team is critical and what defines an AI-first company, allowing you to plan how your company or organization can better utilize AI. In Chapter 10, we demonstrate why now is the ideal time to begin working with AI. Chapter 11 provides a detailed summary of AI’s role in the real estate investment strategy market, as well as insights into its potential future impact. Chapter 12 explores the role of AI in sustainability within the real estate sector. We examine global impacts, AI-driven green building designs, and the ways in which technology can reduce carbon footprints. Chapter 13 takes you to The AGI Frontier in Real Estate, discussing what artificial general intelligence (AGI) means and how it differs from today’s narrow AI systems. We delve into AGI’s limitations, the technological barriers we still face, and the potential implications of delaying or hastening its development. You’ll also learn how to leverage existing narrow AI while preparing for a future in which AGI may become a reality. In the final chapter, we investigate the trends, opportunities, and provide recommendations on the use of AI in real estate now and in the future. By the end of this book, you will not only comprehend AI better than most business leaders, but you will also be able to guide yourself, your firm, or any other organization through the AI progression. I also hope that this knowledge will allow you to help others navigate these swiftly changing times.