Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science career
暫譯: 智慧創造者:AI 領袖的行業祕訣,輕鬆應用以提升你的資料科學職涯

Antic, Alex

  • 出版商: Packt Publishing
  • 出版日期: 2023-04-28
  • 售價: $2,220
  • 貴賓價: 9.5$2,109
  • 語言: 英文
  • 頁數: 374
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1804616486
  • ISBN-13: 9781804616482
  • 相關分類: 人工智慧Data Science
  • 海外代購書籍(需單獨結帳)

商品描述

Get your hands on the secret recipe for a rewarding career in data science from 18 AI leaders

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

  • Gain access to insights and expertise from data science leaders shared in one-on-one interviews
  • Get pragmatic advice on how to become a successful data scientist and data science leader
  • Receive guidance to overcome common pitfalls and challenges and ensure your projects’ success

Book Description

A Gartner prediction in 2018 led to numerous articles stating that "85% of AI and machine learning projects fail to deliver.” Although it's unclear whether a mass extinction event occurred for AI implementations at the end of 2022, the question remains: how can I ensure that my project delivers value and doesn't become a statistic?

The demand for data scientists has only grown since 2015, when they were dubbed the new “rock stars” of business. But how can you become a data science rock star? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer?

Creators of Intelligence is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions and more with some of the world's leading data science leaders and CDOs.

Interviews with: Cortnie Abercrombie, Edward Santow, Kshira Saagar, Charles Martin, Petar Veličković, Kathleen Maley, Kirk Borne, Nikolaj Van Omme, Jason Tamara Widjaja, Jon Whittle, Althea Davis, Igor Halperin, Christina Stathopoulos, Angshuman Ghosh, Maria Milosavljevic, Dr. Meri Rosich, Dat Tran, and Stephane Doyen.

What you will learn

  • Find out where to start with AI ethics and how to evolve from frameworks to practice
  • Discover tips on building and managing a data science team
  • Receive advice for organizations seeking to build or mature a data science capability
  • Stop beating your head against a brick wall – pick the environment that’ll support your success
  • Read stories from successful data leaders as they reflect on the successes and failures in data strategy development
  • Understand how business areas can best work with data science teams to drive business value

Who this book is for

This book is for a wide range of audience, from people working in the data science industry through to data science leaders and chief data officers. This book will also cater to senior business leaders interested in learning how data and analytics are used to support decision-making in different domains and sectors. Students contemplating a career in artificial intelligence (AI) and the broader data sector will also find this book useful, along with anyone developing and delivering university-level education, including undergraduate, postgraduate, and executive programs.

商品描述(中文翻譯)

取得來自18位AI領導者的數據科學成功職業的秘密配方

購買印刷版或Kindle書籍可獲得免費PDF電子書

主要特色

- 獲取數據科學領導者在一對一訪談中分享的見解和專業知識
- 獲得實用建議,了解如何成為成功的數據科學家和數據科學領導者
- 獲得克服常見陷阱和挑戰的指導,確保您的項目成功

書籍描述

根據Gartner在2018年的預測,許多文章指出「85%的AI和機器學習項目未能交付。」雖然不清楚在2022年底AI實施是否發生了大規模滅絕事件,但問題依然存在:我該如何確保我的項目能夠交付價值,而不成為統計數字?

自2015年以來,數據科學家的需求只增不減,當時他們被稱為商業的新「搖滾明星」。但你該如何成為數據科學的搖滾明星?作為一名新的高級數據領導者,您該如何建立和管理一個高效的團隊?成為首席數據官的道路是什麼?

《智慧的創造者》是由知名數據科學領導者Dr. Alex Antic進行的一系列深入一對一訪談,探討這些問題及更多問題的答案,受訪者包括一些世界頂尖的數據科學領導者和首席數據官。

受訪者包括:Cortnie Abercrombie、Edward Santow、Kshira Saagar、Charles Martin、Petar Veličković、Kathleen Maley、Kirk Borne、Nikolaj Van Omme、Jason Tamara Widjaja、Jon Whittle、Althea Davis、Igor Halperin、Christina Stathopoulos、Angshuman Ghosh、Maria Milosavljevic、Dr. Meri Rosich、Dat Tran和Stephane Doyen。

您將學到的內容

- 瞭解AI倫理的起點以及如何從框架演變為實踐
- 發現建立和管理數據科學團隊的技巧
- 獲得對於希望建立或成熟數據科學能力的組織的建議
- 停止對著磚牆頭痛—選擇能支持您成功的環境
- 閱讀成功數據領導者的故事,反思他們在數據策略開發中的成功與失敗
- 理解業務領域如何與數據科學團隊最佳合作以推動商業價值

本書適合誰

本書適合廣泛的讀者群,從數據科學行業的工作者到數據科學領導者和首席數據官。本書也將迎合對學習數據和分析如何支持不同領域和行業的決策感興趣的高級商業領導者。考慮在人工智慧(AI)和更廣泛的數據領域發展職業的學生也會發現本書有用,還有任何開發和提供大學級教育的人,包括本科、研究生和高管課程。

目錄大綱

1. Introducing the Creators of Intelligence
2. Cortnie Abercrombie Wants the Truth
3. Edward Santow vs. Unethical AI
4. Kshira Saagar Tells a Story
5. Consulting Insights with Charles Martin
6. Petar Veličković and His Deep Network
7. Kathleen Maley Analyzes the Industry
8. Kirk Borne Sees the Stars
9. Nikolaj Van Omme Can Solve Your Problems
10. Jason Tamara Widjaja and the AI People
11. Jon Whittle Turns Research into Action
12. Building the Dream Team with Althea Davis
13. Igor Halperin Watches the Markets
14. Christina Stathopoulos Exerts Her Influence
15. Angshuman Ghosh Leads the Way
16. Maria Milosavljevic Assesses the Risks
17. Stephane Doyen Follows the Science
18. Intelligent Leadership with Meri Rosich
19. Teaming Up with Dat Tran
20. Summar

目錄大綱(中文翻譯)

1. Introducing the Creators of Intelligence

2. Cortnie Abercrombie Wants the Truth

3. Edward Santow vs. Unethical AI

4. Kshira Saagar Tells a Story

5. Consulting Insights with Charles Martin

6. Petar Veličković and His Deep Network

7. Kathleen Maley Analyzes the Industry

8. Kirk Borne Sees the Stars

9. Nikolaj Van Omme Can Solve Your Problems

10. Jason Tamara Widjaja and the AI People

11. Jon Whittle Turns Research into Action

12. Building the Dream Team with Althea Davis

13. Igor Halperin Watches the Markets

14. Christina Stathopoulos Exerts Her Influence

15. Angshuman Ghosh Leads the Way

16. Maria Milosavljevic Assesses the Risks

17. Stephane Doyen Follows the Science

18. Intelligent Leadership with Meri Rosich

19. Teaming Up with Dat Tran

20. Summar