Behavioral AI: Unleash Decision Making with Data
Tabrizi, Rogayeh
- 出版商: Wiley
- 出版日期: 2025-01-09
- 售價: $1,320
- 貴賓價: 9.5 折 $1,254
- 語言: 英文
- 頁數: 240
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394196865
- ISBN-13: 9781394196869
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商品描述
Implement AI and big data at your organization using principles from behavioral economics
In Behavioral AI: Unleash Decision Making with Data, behavioral economist Dr. Rogayeh Tabrizi delivers an intuitive roadmap to help organizations disentangle the complexity of their data to create tangible and lasting value. The book explains how to balance the multiple disciplines that power AI and behavioral economics using a combination of the right questions and insightful problem solving.
You'll learn why intellectual diversity and combining subject matter experts in psychology, behavior, economics, physics, computer science, and engineering is essential to creating advanced AI solutions. You'll also discover:
- How behavioral economics principles influence data models and governance architectures and make digital transformation processes more efficient and effective
- Discussions of the most important barriers to value in typical big data and AI projects and how to bring them down
- The most effective methodology to help shorten the long, wasteful process of "boiling the ocean of data"
An exciting and essential resource for managers, executives, board members, and other business leaders engaged or interested in harnessing the power of artificial intelligence and big data, Behavioral AI will also benefit data and machine learning professionals.
商品描述(中文翻譯)
**在您的組織中運用行為經濟學原則實施人工智慧和大數據**
在《Behavioral AI: Unleash Decision Making with Data》中,行為經濟學家 Rogayeh Tabrizi 博士提供了一個直觀的路線圖,幫助組織理清數據的複雜性,以創造具體且持久的價值。本書解釋了如何利用正確的問題和深刻的問題解決方法來平衡推動人工智慧和行為經濟學的多個學科。
您將了解為什麼智力多樣性以及結合心理學、行為學、經濟學、物理學、計算機科學和工程學的專家對於創造先進的人工智慧解決方案至關重要。您還將發現:
- 行為經濟學原則如何影響數據模型和治理架構,並使數位轉型過程更高效、更有效
- 討論典型大數據和人工智慧專案中最重要的價值障礙及如何克服這些障礙
- 縮短「煮海量數據」這一漫長且浪費的過程的最有效方法論
《Behavioral AI》是一本令人興奮且必不可少的資源,適合參與或有興趣利用人工智慧和大數據力量的經理、執行官、董事會成員及其他商業領袖,對數據和機器學習專業人士也將大有裨益。