Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science career

Antic, Alex

  • 出版商: Packt Publishing
  • 出版日期: 2023-04-28
  • 售價: $2,040
  • 貴賓價: 9.5$1,938
  • 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
  • 下單後立即進貨 (約3~4週)

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)

從18位人工智慧領袖那裡獲得一份關於成功從事資料科學職業的秘密配方。

購買印刷版或Kindle電子書,即可免費獲得PDF電子書。

主要特點:

- 獲得一對一訪談中資料科學領袖分享的見解和專業知識。
- 獲得關於如何成為成功的資料科學家和資料科學領導者的實用建議。
- 獲得克服常見問題和挑戰,確保項目成功的指導。

書籍描述:

2018年,Gartner的一項預測引起了許多文章,聲稱「85%的人工智慧和機器學習項目無法交付」。儘管不清楚在2022年底是否發生了人工智慧實施的大規模滅絕事件,但問題仍然存在:我如何確保我的項目能夠創造價值,不成為統計數據?

自2015年以來,對資料科學家的需求一直在增長,當時他們被譽為商業界的新「搖滾明星」。但是,你如何成為一位資料科學明星?作為一位新任的高級資料領導者,你如何建立和管理一個高效的團隊?成為首席資料官的路徑是什麼?

《智能創造者》是一本深入的一對一訪談集,其中資料科學領導者Alex Antic博士與世界領先的資料科學領袖和首席資料官一起探索這些問題的答案。

訪談對象包括: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。

你將學到什麼:

- 了解如何從倫理框架轉向實踐,從哪裡開始進行人工智慧倫理。
- 發現建立和管理資料科學團隊的技巧。
- 為希望建立或提升資料科學能力的組織提供建議。
- 選擇能夠支持你成功的環境,不再白費力氣。
- 閱讀成功資料領導者的故事,他們反思了在資料戰略發展中的成功和失敗。
- 了解業務領域如何與資料科學團隊合作,推動業務價值。

適合閱讀對象:

本書適合廣泛的讀者,從從事資料科學行業的人士到資料科學領導者和首席資料官。對於對於不同領域和行業中的決策支持如何使用數據和分析的高級商業領導者也會感興趣。考慮從事人工智慧(AI)和更廣泛的資料領域職業的學生也會發現本書有用,以及任何開發和提供大學級教育(包括本科、研究生和執行項目)的人士。

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. 智能創造者介紹
2. Cortnie Abercrombie 追求真相
3. Edward Santow 對抗不道德的人工智能
4. Kshira Saagar 講述一個故事
5. Charles Martin 的諮詢見解
6. Petar Veličković 和他的深度網絡
7. Kathleen Maley 分析行業
8. Kirk Borne 看見星星
9. Nikolaj Van Omme 可以解決你的問題
10. Jason Tamara Widjaja 和 AI 人士
11. Jon Whittle 將研究轉化為行動
12. Althea Davis 建立夢幻團隊
13. Igor Halperin 觀察市場
14. Christina Stathopoulos 發揮影響力
15. Angshuman Ghosh 領先潮流
16. Maria Milosavljevic 評估風險
17. Stephane Doyen 遵循科學
18. Meri Rosich 的智能領導力
19. 與 Dat Tran 合作
20. 總結