個案資料

Technology is constantly changing, and new technologies are regularly being introduced. Business has been revolutionized by various technologies over the past few decades-namely, data science/artifical intelligence (AI) and blockchain. New technologies bring many opportunities with them, but they can also pose challenges for businesses, such as creating new and updated business models and finding the best adoption and digital transformation strategies. This books offers a guide to data science/AI and blockchain, two of the most relevant and important technologies for businesses today. Various topics are covered, including data science processes, AI-based businesses, and types of blockchain. Simple, straighforward descriptions of the technologies are provided along with more thorough explanations on how to effectively use them. By utilizing data science/AI and blockchain, businesses can stay competitive and be a catalyst for positive change. Chapter 2 offers a brief overview of what data science is, how it can be useful, and how it can be applied. A short history of data science is provided. There are three core fields of data science: AI, machine learning (ML), and statistics; each of these fields and how they are part of data science is described. Machine learning is particularly essential to data science, and there are three main ML types: supervised learning, unsupervised learning, and reinforcement learning. These approaches are discussed along with other types of ML and how decision makers can use ML to their benefit. A thorough introduction to statistics is also given, including a description of different types of statistics and the benefits, applications, and potential problems of statistics-such as bias-for business. Case examples are offered, highlighting how data science can impact business.

• Statistical analysis
• Data science
• Decision making
• Business history
• AI and machine learning
• Emerging technologies