AI IQ for a Human-Focused Future: Strategy, Talent, and Culture

Dobrin, Seth

  • 出版商: CRC
  • 出版日期: 2024-07-18
  • 售價: $1,820
  • 貴賓價: 9.5$1,729
  • 語言: 英文
  • 頁數: 248
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 103278203X
  • ISBN-13: 9781032782034
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

AI iQ for a Human-Focused Future: Strategy, Talent, and Culture offers a pioneering approach to integrating artificial intelligence (AI) and generative AI (GenAI) in business, emphasizing a business strategy first mindset over a technology-centric one.

商品描述(中文翻譯)

「AI iQ for a Human-Focused Future: Strategy, Talent, and Culture」提供了一種先驅性的方法,將人工智慧(AI)和生成式人工智慧(GenAI)融入業務中,強調以商業策略為先的思維方式,而非以技術為中心。

作者簡介

Dr. Seth Dobrin is a renowned AI and Data Science Leader known for his transformative work. At Monsanto, he revolutionized agriculture by integrating AI to enhance farming through precision agriculture. As IBM's first Global Chief AI Officer, he led the IBM Data Science Elite Team, driving ethical AI development and diversity across multiple projects. His leadership was instrumental in IBM's AI and data transformation.

He continued his journey by founding Qantm AI, championing a human-focused approach centered on ethical AI in business. His work at Qantm AI guides Fortune 500 companies and Private Equity firms in developing responsible AI strategies. A strong advocate for diversity and against technological colonialism, he supports organizations like Women Leaders in Data and AI (WLDA) and Wonder Women Tech (WWT). His multidisciplinary expertise, combining molecular and cellular biology with industry experience, sets AI leadership benchmarks, shaping its future to be responsible, ethical, and inclusive.

作者簡介(中文翻譯)

Dr. Seth Dobrin是一位著名的人工智慧和資料科學領導者,以他的轉型性工作而聞名。在Monsanto,他通過整合人工智慧來提升農業的精準農業,從而革新了農業領域。作為IBM的首位全球首席人工智慧官,他領導IBM數據科學精英團隊,在多個項目中推動道德人工智慧的發展和多樣性。他的領導在IBM的人工智慧和資料轉型中起到了關鍵作用。

他繼續他的旅程,創辦了Qantm AI,倡導以道德人工智慧為中心的以人為本的商業方法。他在Qantm AI的工作指導著財富500強公司和私募股權公司制定負責任的人工智慧策略。作為多樣性的堅定支持者和反對技術殖民主義的人,他支持組織如Women Leaders in Data and AI (WLDA)和Wonder Women Tech (WWT)。他的多學科專業知識,結合分子和細胞生物學與行業經驗,為人工智慧領導力設定了標杆,塑造了其負責任、道德和包容的未來。