Artificial Intelligence for Marketing Strategies: Real-Life Applications and Case Studies
暫譯: 行銷策略中的人工智慧：實際應用與案例研究
Choudhary, Sharuti, Kannan, Hemachandran, Alagarsamy, Devendran
商品描述
This book introduces emerging artificial intelligence (AI) technologies and their potential to reshape the marketing landscape, offering a forward-looking perspective on the future of marketing strategies. It leverages AI for enhanced customer engagement, brand building, and business excellence. From understanding customer behaviour in the AI era to strategically integrating AI-driven technologies, Artificial Intelligence for Marketing Strategies: Real-Life Applications and Case Studies provides actionable insights and practical tools for predictive market insights, data-driven decisions, and innovative customer engagement.
Features
- Insights into how AI redefines customer behaviour analysis and enhances data-driven strategies.
- Practical guidance on embedding AI tools like predictive analytics and machine learning into marketing workflows.
- Detailed analysis of how chatbots and conversational AI elevate customer experiences and strengthen brand positioning.
- Predictive analytics discussions for forecasting market trends and achieving business goals.
- Real-world examples showcasing the practical applications and outcomes of AI-driven marketing initiatives.
This book is for professionals, scholars, and decision-makers looking to navigate the transformative potential of AI in the modern marketing landscape.
商品描述(中文翻譯)
這本書介紹了新興的人工智慧（AI）技術及其重塑行銷領域的潛力，提供了對未來行銷策略的前瞻性觀點。它利用AI來增強客戶互動、品牌建立和商業卓越。從理解AI時代的客戶行為到戰略性整合AI驅動的技術，行銷策略中的人工智慧：實際應用與案例研究提供了可行的見解和實用工具，以進行預測市場洞察、數據驅動的決策和創新的客戶互動。
特色
- 深入了解AI如何重新定義客戶行為分析並增強數據驅動的策略。
- 實用指導，幫助將預測分析和機器學習等AI工具嵌入行銷工作流程中。
- 詳細分析聊天機器人和對話式AI如何提升客戶體驗並加強品牌定位。
- 預測分析討論，用於預測市場趨勢和實現商業目標。
- 實際案例展示AI驅動的行銷計畫的實際應用和成果。
這本書適合希望在現代行銷領域中駕馭AI轉型潛力的專業人士、學者和決策者。
作者簡介
Dr Shruti Choudhary is a Business Analyst, strategist, and academic with over two decades of experience across banking, retail, healthcare, and higher education . She holds a PhD in Marketing and Technology and an MBA, and has led complex digital transformation and analytics-driven initiatives globally. Sharuti specializes in business process optimization, predictive analytics, and data-driven decision-making using tools such as SQL, Power BI, and advanced Excel. A certified Salesforce Administrator and Agile practitioner, she actively bridges academia and industry through research, executive training, and international collaborations, helping organizations convert analytical insight into measurable strategic impact.
Dr. Hemachandran K is Director of the AI Research Centre and Vice Dean at Woxsen University, where he leads research in artificial intelligence, machine learning, and analytics . He has authored 7 books, edited twenty two volumes, and holds multiple patents spanning healthcare intelligence, neuroadaptive systems, predictive modeling, and quantum-AI architectures. He serves as a UNESCO Expert, AI Accelerator Institute Ambassador, and advisor to international technology firms. His work integrates AI research with real-world deployment across education, governance, infrastructure, and decision intelligence systems, emphasizing scalable, ethical, and industry-relevant innovation.
Dr. Devendran A is a Professor of Data Science, Artificial Intelligence, and Business Analytics with more than twenty years of academic and research experience . He earned his PhD in Computer Science and has authored seven books alongside over 35 Scopus- and SCI-indexed research publications. His expertise includes predictive analytics, business intelligence, and AI-driven decision systems using Python, Power BI, and SQL. Dr. Devendran has supervised doctoral scholars, led accreditation initiatives, and contributed to curriculum design in higher education. His research spans healthcare technologies, mobile systems, and applied AI for organizational and operational excellence.
Prof. Imed Saad Ben Dhaou is a Full Professor of Embedded Systems at Dar Al-Hekma University and Adjunct Professor at the University of Turku . Recognized among Stanford's Top 2% Scientists, he has authored over 100 journal and conference papers in embedded systems, IoT architectures, VLSI design, intelligent transportation systems, and low-power circuit optimization. He holds a PhD from the Royal Institute of Technology (KTH), Sweden. Prof. Ben Dhaou serves as Editor for the Microelectronics Journal (Elsevier) and has led international research initiatives on high-level power estimation, interconnect optimization, and resilient computing systems across academia and industry.
Prof. Thomas Heinrich Musiolik is Chair Professor of Marketing and Technology at Woxsen University and Editor-in-Chief of the Journal of Future Robot Life . With academic roles across Germany, Japan, and Europe, he researches consumer behavior, experience design, neuromarketing, and the societal impact of artificial intelligence. Holding advanced degrees in management and international business, he serves as Scientific Reviewer for the European Commission and ambassador for Brain City Berlin. His work explores how digital media and AI influence cognition, brand perception, and behavioral change, aiming to align technological advancement with human-centered and socially responsible innovation.
作者簡介(中文翻譯)
Dr. Shruti Choudhary 是一位商業分析師、策略家及學者，擁有超過二十年的銀行、零售、醫療保健及高等教育經驗。她擁有行銷與科技的博士學位及MBA，並在全球領導複雜的數位轉型及數據驅動的計畫。Shruti 專注於商業流程優化、預測分析及使用 SQL、Power BI 和高級 Excel 進行數據驅動的決策。作為一名認證的 Salesforce 管理員和敏捷實踐者，她積極透過研究、高層培訓及國際合作，將學術界與產業連結，幫助組織將分析洞察轉化為可衡量的戰略影響。
Dr. Hemachandran K 是 Woxsen 大學人工智慧研究中心的主任及副院長，負責人工智慧、機器學習及分析的研究。他著有七本書，編輯過二十二卷，並擁有多項專利，涵蓋醫療智能、神經自適應系統、預測建模及量子人工智慧架構。他擔任聯合國教科文組織專家、人工智慧加速器研究所大使及國際科技公司的顧問。他的工作將人工智慧研究與教育、治理、基礎設施及決策智能系統的實際應用相結合，強調可擴展的、倫理的及與產業相關的創新。
Dr. Devendran A 是數據科學、人工智慧及商業分析的教授，擁有超過二十年的學術及研究經驗。他獲得計算機科學博士學位，並著有七本書及超過35篇被 Scopus 和 SCI 收錄的研究出版物。他的專業領域包括預測分析、商業智能及使用 Python、Power BI 和 SQL 的人工智慧驅動決策系統。Dr. Devendran 曾指導博士生、領導認證計畫，並參與高等教育的課程設計。他的研究涵蓋醫療科技、行動系統及應用人工智慧以實現組織及運營卓越。
Prof. Imed Saad Ben Dhaou 是 Dar Al-Hekma 大學的嵌入式系統全職教授及土耳其大學的兼任教授。他被認可為史丹佛大學前2%的科學家，並在嵌入式系統、物聯網架構、VLSI 設計、智能交通系統及低功耗電路優化方面發表了超過100篇期刊及會議論文。他擁有瑞典皇家科技學院 (KTH) 的博士學位。Prof. Ben Dhaou 擔任《微電子學期刊》（Elsevier）的編輯，並在學術界和產業界領導有關高階功率估算、互連優化及韌性計算系統的國際研究計畫。
Prof. Thomas Heinrich Musiolik 是 Woxsen 大學的行銷與科技講座教授及《未來機器人生活期刊》的主編。他在德國、日本及歐洲擔任學術職位，研究消費者行為、體驗設計、神經行銷及人工智慧對社會的影響。擁有管理及國際商務的高級學位，他擔任歐洲委員會的科學審查員及柏林腦城的代表。他的工作探討數位媒體及人工智慧如何影響認知、品牌感知及行為變化，旨在將技術進步與以人為本及社會負責的創新相結合。
