In the rapidly evolving world of business, technology isn't just an assetit's the driving force behind innovation and success. This work is an indispensable resource for business leaders, marketers, and technologists who are eager to stay ahead of the curve.
In the rapidly evolving world of business, technology isn't just an assetit'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.
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
Mudita Sinha, Associate Professor, Christ University Bangalore, India
Arabinda Bhandari, Associate Professor, Sarala Birla University, Ranchi, India
Samant Shant Priya, Lal Bahadur Shastri Institute of Management, Delhi, India
Sajal Kabiraj, Professor Häme University of Applied Sciences (HAMK), Finland