Digital Decisioning: Using Decision Management to Deliver Business Impact from AI
暫譯: 數位決策:利用決策管理從 AI 中實現商業影響

Taylor, James

  • 出版商: Jtonedm
  • 出版日期: 2019-10-23
  • 售價: $1,340
  • 貴賓價: 9.8$1,313
  • 語言: 英文
  • 頁數: 202
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0929652649
  • ISBN-13: 9780929652641
  • 相關分類: Machine Learning
  • 相關翻譯: 數字化決策——實現AI商業價值之路 (簡中版)
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

"I've worked as a C-level executive in multiple insurance companies and engaged countless strategy consultants, IT consultants and technology vendors over the past two decades. This book describes the only approach that has actually allowed me to operationalize predictive models and deliver real ROI "

Digital Decisioning ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every touch point. It operationalizes machine learning and artificial intelligence, so you can make the best possible decision, every time. It uses business rules to guarantee the agility, transparency and compliance that established companies and regulated industries demand. Focusing only on decision-making, it supports continuous learning and improvement. Digital Decisioning applies machine learning and artificial intelligence at scale to automate the decisions essential for more profitable, more customer-centric and more digital business operations.

"Essential reading for COOs looking to rigorously improve automation through AI."

Based on dozens of successful projects around the word, this book lays out the basic elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, this book will focus your efforts to apply machine learning, artificial intelligence and predictive analytics. It emphasizes practical "do this next" advice delivered in non-technical terms, describing the business value and impact of critical technologies without diving into technical detail. Stories of real implementations, real companies, show what can be done.
A completely updated version of an established and popular book on Decision Management, this second edition has forewords by leading analytic experts, Tom Davenport and Eric Siegel.

"James has been at the forefront of decision management techniques for years. Anyone trying to automate and embed analytics to support decisions should read this book."
--Bill Franks, Chief Analytics Officer, International Institute for Analytics, speaker, and author.

"An absolute masterclass in analytics from one of the great masters himself. Nothing but solid knowledge, sage advice, and great examples without an ounce of hyperbole or fluff."
--Doug Laney, Principal Data Strategist with Caserta, and best-selling author of 'Infonomics'.

商品描述(中文翻譯)

「在過去二十年中,我曾在多家保險公司擔任高層主管,並與無數策略顧問、IT顧問和技術供應商合作。本書描述了唯一一種實際上使我能夠將預測模型運作化並實現真正投資回報率的方法。」

數位決策確保您的系統能夠智能地代表您行事,在每個接觸點做出精確、一致、即時的決策。它將機器學習和人工智慧運作化,讓您每次都能做出最佳決策。它使用商業規則來保證成熟公司和受監管行業所需的敏捷性、透明度和合規性。專注於決策制定,它支持持續學習和改進。數位決策在大規模上應用機器學習和人工智慧,自動化對於更具利潤、更以客戶為中心和更數位化的商業運營至關重要的決策。

「對於希望通過人工智慧嚴格改善自動化的COO來說,這是必讀之作。」

本書基於全球數十個成功項目,提供了一個實用的操作指南,概述了該方法的基本要素。針對管理者而非技術團隊,本書將集中您的精力應用機器學習、人工智慧和預測分析。它強調以非技術術語提供的實用「接下來做這個」建議,描述關鍵技術的商業價值和影響,而不深入技術細節。真實實施和真實公司的故事展示了可以做到的事情。這是一本完全更新的、關於決策管理的經典和受歡迎的書籍,第二版由領先的分析專家Tom Davenport和Eric Siegel撰寫前言。

「詹姆斯在決策管理技術的前沿已多年。任何試圖自動化並嵌入分析以支持決策的人都應該閱讀這本書。」
--Bill Franks,國際分析研究所首席分析官、演講者和作者。

「這是來自偉大大師之一的分析絕對大師班。沒有任何誇張或浮誇,只有扎實的知識、明智的建議和出色的範例。」
--Doug Laney,Caserta首席數據策略師,《資訊經濟學》的暢銷書作者。