Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype

Gray, Douglas, Shellshear, Evan

Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype
  • 出版商: CRC
  • 出版日期: 2024-09-05
  • 售價: $5,120
  • 貴賓價: 9.5 折 $4,864
  • 語言: 英文
  • 頁數: 208
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103266133X
  • ISBN-13: 9781032661339
  • 相關分類: 人工智慧、Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

The field of artificial intelligence, data science, and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects, and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions: data driven.

This book aims to fix this by countering the AI hype with a dose of realism. Written by two experts in the field, the authors firmly believe in the power of mathematics, computing, and analytics, but if false expectations are set and practitioners and leaders don't fully understand everything that really goes into data science projects, then a stunning 80% (or more) of analytics projects will continue to fail, costing enterprises and society hundreds of billions of dollars, and leading to non-experts abandoning one of the most important data-driven decision-making capabilities altogether.

For the first time, business leaders, practitioners, students, and interested laypeople will learn what really makes a data science project successful. By illustrating with many personal stories, the authors reveal the harsh realities of implementing AI and analytics.

商品描述(中文翻譯)

人工智慧、數據科學和分析領域正自我削弱。對不切實際技術的誇大承諾、對複雜專案的簡化以及市場行銷的炒作，導致了對我們最關鍵的決策方法之一——數據驅動的信任侵蝕。

本書旨在通過現實的觀點來對抗人工智慧的炒作。這本書由兩位該領域的專家撰寫，作者堅信數學、計算和分析的力量，但如果設置了錯誤的期望，並且從業者和領導者未能充分理解數據科學專案中真正涉及的所有內容，那麼高達80%（或更多）的分析專案將繼續失敗，這將使企業和社會損失數千億美元，並導致非專家完全放棄這一最重要的數據驅動決策能力。

這是第一次，商業領導者、從業者、學生和有興趣的外行人將了解什麼才是真正使數據科學專案成功的因素。通過許多個人故事的闡述，作者揭示了實施人工智慧和分析的殘酷現實。

作者簡介

Douglas Gray is a practitioner, leader, and educator with over 30 years of experience leading award-winning teams at industry luminaries in Analytics, including INFORMS Prize-winning American Airlines and Walmart. His teams have delivered advanced game-changing solutions in the airline operations, healthcare, and omnichannel retail supply chain domains which deliver hundreds of millions of dollars in business value and economic impact annually. He teaches Analytics and AI Strategy at Southern Methodist University (SMU) in the Executive MBA, Executive Education, and MS Data Science programs, and has published over a dozen articles on Analytics best practices and applications.

Dr Evan Shellshear is an expert in artificial intelligence with a Ph.D. in Game Theory from the Nobel Prize winning University of Bielefeld in Germany. He has almost two decades of international experience in the development and design of AI tools for a variety of industries having worked with the world's top companies on all aspects of advanced analytical solutions from optimisation to machine learning in applications from HR to oil and gas, and robotics to supply chain. He is also the author of the Amazon best seller, Innovation Tools.

作者簡介(中文翻譯)

道格拉斯·格雷（Douglas Gray）是一位實踐者、領導者和教育者，擁有超過30年的經驗，曾在分析領域的知名企業中領導獲獎團隊，包括獲得INFORMS獎的美國航空公司和沃爾瑪。他的團隊在航空運營、醫療保健和全通路零售供應鏈領域提供了改變遊戲規則的先進解決方案，每年為企業創造數億美元的商業價值和經濟影響。他在南方衛理公會大學（Southern Methodist University, SMU）的高階MBA、高階教育和數據科學碩士課程中教授分析和人工智慧策略，並發表了十多篇有關分析最佳實踐和應用的文章。

埃文·謝爾希爾博士（Dr Evan Shellshear）是一位人工智慧專家，擁有德國比勒費爾德大學（University of Bielefeld）遊戲理論的博士學位，該校曾獲得諾貝爾獎。他在AI工具的開發和設計方面擁有近二十年的國際經驗，曾與全球頂尖公司合作，涉及從優化到機器學習的先進分析解決方案的各個方面，應用範圍涵蓋人力資源、石油和天然氣、機器人技術以及供應鏈。他也是亞馬遜暢銷書《創新工具》（Innovation Tools）的作者。

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