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 4 discusses data scientists-characteristics of good data scientists, skills they should have, their motivations, and how to effectively manage them. Essential skills for a data scientist include hacking skills, math and statistics knowledge, and substantive expertise. Data scientists tend to be curious, proactive, and innovative; many need to be mentally engaged, stimulated, and challenged. When hiring a data scientist, make sure to capitalize on these traits and their skill set. Ways for a company to attract data scientists are offered. Data scientists can be categorized into six groups: computer scientists, statisticians, quantitative specialists, self-taught data scientists, software platform users, and domain specialists. Each of these is described. The idea of a data-centric organization is also explored as well as how to build a data science culture and overcome resistance to change.

• Emerging technologies
• Managing people
• Personality traits
• Motivating people
• Data science
• Organizational culture