Marketing Intelligence, Part B : AI, Trust, and Innovation in the Modern Business Landscape

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Marketing Intelligence, Part B : AI, Trust, and Innovation in the Modern Business Landscape

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  • 製本 Hardcover:ハードカバー版/ページ数 360 p.
  • 言語 ENG
  • 商品コード 9781836625612
  • DDC分類 658.83

Full Description

In the rapidly evolving world of business, technology isn't just an asset—it's the driving force behind innovation and success. Marketing Intelligence, Part B: AI, Trust, and Innovation in the Modern Business Landscape brings together cutting-edge insights and strategies from leading experts to explore how AI is transforming industries and redefining the way businesses engage with customers.

This book uncovers the intricate relationship between AI-powered technologies and the critical factors of trust and innovation. From harnessing the predictive power of Long Short-Term Memory Network algorithms in dynamic trading environments to leveraging AI for personalized customer experiences in digital lending, Marketing Intelligence, Part B: AI, Trust, and Innovation in the Modern Business Landscape offers a deep dive into the future of business, explores how digital learning can be seamlessly integrated with customer engagement, the importance of trust dynamics in online relationship marketing, and the transformative potential of chatbots and edge computing. With a special focus on sustainable marketing, behavioural finance, and the growing influence of AI in customer interactions, this book provides a holistic view of the modern business landscape.

Marketing Intelligence, Part B: AI, Trust, and Innovation in the Modern Business Landscape is an indispensable resource for business leaders, marketers, and technologists who are eager to stay ahead of the curve. It equips readers with the knowledge to harness AI's full potential while fostering trust and driving innovation across industries. Prepare to navigate the complexities of the digital age with strategies that align cutting-edge technology with sustainable and ethical business practices.

Contents

Chapter 1. Utilizing LSTM Forecasting and Intelligent Algorithmic Computing for a Dynamic Trading Approach; Tejinder Singh, Vikas Sharma, Syed Aboe Iltaf, and Nasima M H Carrim

Chapter 2. Synergizing Digital Learning with Customer Engagement in Digital Era; Samriddha D P, Thirupathi Manickam, Devarajanayaka Kalenahalli, and Ravi V

Chapter 3. Exploring Trust Dynamics in Online Relationship Marketing and Customer Outcomes within the Banking Sector; Mohammed Majeed

Chapter 4. Unveiling The Transformative Role of Chatbots: An Insight From Industry; Shimmy Francis and Sangeetha Rangasamy

Chapter 5. Sustainable Marketing: Balancing Profit and Planet; Shanmugan Joghee, Sajal Kabiraj, Swamynathan Ramakrishnan, and Haitham M Alzoubi

Chapter 6. Embracing Edge Computing: Elevating Marketing Intelligence Across Asian Business Horizons; Priyakrushna Mohanty and Khushi Vasudev

Chapter 7. Unlocking User Engagement: The Fusion of Behavioral Finance and Marketing in Mobile Applications; Kritika Pancholi and Parag Shukla

Chapter 8. User-Engaged Critical Thinking Abilities Through 360-Degree Virtual Reality Documentaries; Twinkle Sara Joseph, Kannan Subramani, and Biju Kunnumpurath

Chapter 9. Exploring Viewers' Engagement with Advertisements on Over-The-Top (OTT) Platforms: A Systematic Literature Review; Abhra Ghosh and Mridanish Jha

Chapter 10. Towards the Underlying Theories of Artificial Intelligence in Customer Engagement: A Review and Future Research Agenda; Arabinda Bhandari and Mudita Sinha

Chapter 11. Leveraging AI-Powered Personalization to Enhance Borrowers' Experience and Trust for Customer Engagement in Digital Lending; V Gajapathy and Sathyanarayana K

Chapter 12. AI and Strategy: The Three Perspectives Framework; Juhani Merilehto and Dinesh Poudel