Leveraging AI and Big Data for Business Innovation: Strategies for the Digital Economy
暫譯: 運用 AI 與大數據推動企業創新:數位經濟策略

El Khoury, Rim

商品描述

This book provides a comprehensive guide for leveraging Artificial Intelligence (AI) and Big Data to drive business innovation in the digital economy. As data from modern digital sources like sensors, social networks, and online transactions grows exponentially, businesses must adopt data-driven strategies to remain competitive and agile. The book equips leaders, technologists, and data scientists with the knowledge and tools to transform vast datasets into actionable insights, optimizing decision-making, enhancing customer experiences, and fueling innovation. At its core, the book addresses the critical challenge of moving beyond mere data collection to effectively harnessing data for innovation. In today's competitive landscape, gathering data alone is insufficient; success depends on a company's ability to extract meaningful insights and translate them into actionable strategies. The book explores the latest tools and technologies that facilitate this transformation and delves into the organizational changes needed to foster a data-driven culture, such as leadership engagement, cross-departmental collaboration, and data governance. By weighing both the benefits and risks, readers gain a balanced and forward-looking perspective on implementing AI and Big Data responsibly and sustainably. As businesses increasingly seek to capitalize on Big Data and AI, there is a growing need for resources that bridge the gap between technical data science concepts and their practical applications in business. This book meets that need, helping business leaders, technology professionals, and academics understand how to leverage Big Data to solve complex problems and drive innovation. The book's primary audience includes business executives, data scientists, IT professionals, and graduate students in business, data science, and computer science. It also appeals to decision-makers in industries such as finance, healthcare, retail, and manufacturing who are looking to implement data-driven strategies to enhance their operations and customer offerings.

商品描述(中文翻譯)

本書提供一套完整指南,說明如何運用人工智慧(Artificial Intelligence, AI)與大數據(Big Data),推動數位經濟中的企業創新。隨著感測器、社群網路與線上交易等現代數位來源所產生的資料呈指數級成長,企業必須採用資料驅動策略,才能維持競爭力與敏捷性。本書為領導者、技術專業人員與資料科學家提供相關知識與工具,協助他們將大量資料集轉化為可行動的洞見,進而最佳化決策、提升客戶體驗並推動創新。

本書的核心在於探討一項關鍵挑戰:如何超越單純蒐集資料,真正有效地運用資料促進創新。在今日競爭激烈的環境中,僅僅蒐集資料並不足夠;企業能否成功,取決於其擷取有意義洞見,並將其轉化為可執行策略的能力。本書介紹促成這項轉型的最新工具與技術,也深入探討建立資料驅動文化所需的組織變革,例如領導階層的投入、跨部門協作與資料治理。

透過權衡相關效益與風險,讀者將能以兼顧平衡且具前瞻性的觀點,了解如何以負責任且永續的方式導入 AI 與 Big Data。隨著企業日益尋求善用 Big Data 與 AI,市場對於能夠銜接技術性資料科學概念與商業實務應用的資源,需求也持續增加。本書正是為滿足這項需求而撰寫,協助企業領導者、科技專業人員與學術研究者了解如何運用 Big Data 解決複雜問題並推動創新。

本書的主要讀者包括企業主管、資料科學家、IT 專業人員,以及商業、資料科學與電腦科學領域的研究生。此外,本書也適合金融、醫療保健、零售與製造等產業中的決策者,協助他們導入資料驅動策略,改善營運效率與客戶產品及服務。