AI-Powered Business Analytics: From Data to Decisions
暫譯: AI 驅動的商業分析:從資料到決策
Usman Tariq, Muhammad
- 出版商: CRC
- 出版日期: 2026-11-02
- 售價: $2,660
- 貴賓價: 9.5 折 $2,527
- 語言: 英文
- 頁數: 252
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041138385
- ISBN-13: 9781041138389
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相關分類:
Machine Learning、DeepLearning、Natural Language Processing
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相關主題
商品描述
This book offers an integrated framework that actively leverages AI-driven analytics, empowering businesses to transform raw data into strategic insights, actionable intelligence, and informed decision-making. It expertly covers core AI techniques and presents real-world case studies from diverse industries. Furthermore, the book provides step-by-step methodologies for constructing effective AI analytics solutions, guiding readers through the practical application of these powerful tools.
The author empowers the reader to adopt strategies that actively increase predictive accuracy, automate complex analyses, and improve business processes, ultimately leading to better outcomes. The clear and structured chapters facilitate understanding, starting with the basics and progressing to advanced machine learning algorithms, equipping readers with hands-on skills for future practical applications. Key topics covered include neural networks, deep learning fundamentals, and convolutional and recurrent networks. The book illustrates this essential knowledge with real-world applications for solving complex business problems. Furthermore, it delves into natural language processing methods, sentiment analysis, text classification, and document analytics within the context of business cases like customer feedback analysis and market intelligence. By actively engaging with the material, the reader will learn and understand the tools for both predictive and prescriptive analytics, gaining valuable competitive insights and enhanced strategic decision-making capabilities. This comprehensive approach ensures readers can confidently apply AI to drive tangible business improvements.
This book is targeted at upper-level undergraduates and graduates in Business Analytics, Data Science, AI in Business, MBA in Analytics, and Digital Transformation. Industry professionals like business analysts, data analysts, data scientists, AI specialists, and decision-makers seeking strategic AI analytics implementation will also benefit.
商品描述(中文翻譯)
本書提供一套整合性架構,積極運用 AI 驅動的分析技術,協助企業將原始資料轉化為策略洞察、可付諸行動的情報,以及有依據的決策。本書深入介紹 AI 的核心技術,並呈現來自不同產業的真實案例。此外,本書也提供建構有效 AI 分析解決方案的逐步方法,引導讀者實際應用這些強大的工具。
作者協助讀者採用各種策略,進一步提升預測準確度、自動化複雜分析並改善業務流程,最終帶來更佳成果。清晰且結構化的章節安排有助於讀者理解內容,從基礎概念開始,逐步進展至進階機器學習演算法,讓讀者具備未來實務應用所需的實作技能。本書涵蓋的主題包括神經網路(neural networks)、深度學習基礎,以及卷積網路(convolutional networks)與循環網路(recurrent networks)。書中透過真實世界的應用案例,說明如何運用這些重要知識解決複雜的商業問題。此外,本書也深入探討自然語言處理(natural language processing)方法、情緒分析(sentiment analysis)、文字分類(text classification),以及文件分析(document analytics),並將其置於客戶回饋分析與市場情報等商業案例的脈絡中。透過積極研讀本書內容,讀者將學會並理解預測分析(predictive analytics)與規範性分析(prescriptive analytics)所需的工具,取得有價值的競爭洞察,並提升策略決策能力。這套完整的方法確保讀者能夠有信心地運用 AI,推動具體且可衡量的業務改善。
本書適合商業分析(Business Analytics)、資料科學(Data Science)、商業 AI(AI in Business)、分析領域 MBA(MBA in Analytics)及數位轉型(Digital Transformation)等相關領域的高年級大學生與研究生。業界專業人士,例如商業分析師、資料分析師、資料科學家、AI 專家,以及尋求策略性導入 AI 分析技術的決策者,也能從本書中獲益。
作者簡介
Muhammad Usman Tariq, is a distinguished professional with over 16 years of experience in both academia and industry, focusing on the integration of artificial intelligence and emerging technologies. As a leading expert in research and case studies, Dr. Tariq has worked in private and public sectors across the United States, Asia, and the Middle East. Currently, he is Associate Professor of Business Analytics at the Abu Dhabi University.
作者簡介(中文翻譯)
Muhammad Usman Tariq 是一位傑出的專業人士,擁有超過 16 年的學術界與產業界經驗,專注於人工智慧與新興技術的整合。身為研究與個案研究領域的領導專家,Tariq 博士曾在美國、亞洲及中東地區的民營與公營部門任職。目前,他擔任 Abu Dhabi University 商業分析副教授。