The Decision Maker's Handbook to Data Science
- 156 stránek
- 6 hodin čtení
AI and Data Science for Non-Technical Executives, Managers, and Founders
The book explores the rapid expansion of data science across industries, emphasizing the importance for decision-makers to understand its applications for competitive advantage. The third edition highlights recent advancements in artificial intelligence, particularly large language models, and clarifies the differences between AI and traditional data science. It also discusses AI's capability to mimic human decision-making, providing insights for organizations looking to leverage these technologies effectively.
The History and Future of Data Science and Artificial Intelligence
Exploring the intersection of uncertainty and the quest for knowledge, this book delves into the interconnectedness of various scientific fields. It highlights the pervasive influence of data science and computer science in everyday life through technologies like ChatGPT, Alexa, and Siri. As the demand for data scientists surges, often dubbed the "sexiest profession," the narrative emphasizes the importance of understanding these disciplines and their implications for society.
A practical guide to two of the most important emerging technologies: data science/AI and blockchain. With broad applicability across all sectors, decision-makers would greatly benefit from understanding these fields.