An introduction to data: everything you need to know about AI, big data and data science

摘要

Are you an early practitioner, researcher, business/experience executive, or entrepreneur who uses artificial intelligence (AI), big data, and data sciences in financial services, private investment, or related sectors? This book will help you develop a broader perspective, discover pioneers, and formulate your challenge clearly. It is a recommended reference for beginning research and in-depth study. Data science and AI are a rapidly expanding body of knowledge. The common theme of the included essays is about helping readers comprehend the possibilities for innovation presented by these emerging technologies. Across the chapters, readers will find pointers to the startup ecosystems and pioneering work of several organizations. Readers will find a wealth of introductory information concisely presented, along with insights from systematic research and practical experience. Each chapter is focused on one topic, providing a state-of-the-art survey, developing a taxonomy in some cases, presenting the author's perspective, and concluding with a list of reference materials. The author looks at, and draws patterns from, the biopharma sector to develop his arguments on innovation practices.