Transform Your Enterprise with Generative AI

Rajiv Tulsyan

  • 出版商: Notion Press
  • 出版日期: 2024-05-02
  • 售價: $1,340
  • 貴賓價: 9.5$1,273
  • 語言: 英文
  • 頁數: 146
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798894152325
  • ISBN-13: 9798894152325
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

The comprehensive content of the book, "Transforming Business with Generative AI", unfolds with an in-depth exploration of Generative AI, establishing its transformative potential in the business landscape. Covering key concepts and historical evolution, the book provides a foundation in machine learning, neural networks, and deep learning, tracing the journey from rule-based systems to the contemporary neural network revolution. It highlights the pivotal role of hardware advancements.

The author, Rajiv Tulsyan, then delves into the profound impact of Generative AI on businesses, showcasing its applications in automating tasks, content generation, personalization, data analysis, and creative innovation. Real-world case studies, including Netflix's recommendation system and e-commerce product descriptions, illustrate its practical implications across diverse industries.

Each chapter incorporates case studies and real-world examples to reinforce theoretical concepts, making the book accessible to both beginners and professionals. The inclusion of future trends and challenges anticipates the evolving landscape of Generative AI. The book, "Transforming Business with Generative AI", concludes by emphasizing the importance of addressing ethical concerns and staying informed about emerging trends for businesses seeking to fully leverage Generative AI's potential.

商品描述(中文翻譯)

本書《用生成式人工智慧轉型商業》的內容全面,深入探討生成式人工智慧,確立其在商業領域的轉型潛力。書中涵蓋了關鍵概念和歷史演變,提供了機器學習、神經網絡和深度學習的基礎,追溯從基於規則的系統到當代神經網絡革命的歷程。它突顯了硬體進步的關鍵角色。

作者 Rajiv Tulsyan 隨後深入探討生成式人工智慧對商業的深遠影響,展示其在自動化任務、內容生成、個性化、數據分析和創意創新中的應用。真實案例研究,包括 Netflix 的推薦系統和電子商務產品描述,說明了其在各行各業的實際應用。

每一章都融入案例研究和真實範例,以加強理論概念,使本書對初學者和專業人士都易於理解。書中還包含未來趨勢和挑戰,預測生成式人工智慧不斷演變的格局。《用生成式人工智慧轉型商業》最後強調了解決倫理問題的重要性,以及對新興趨勢保持關注,對於希望充分利用生成式人工智慧潛力的企業而言至關重要。