Revolutionizing the AI-Digital Landscape: A Guide to Sustainable Emerging Technologies for Marketing Professionals 1st Edition By Alex Khang, Pushan Kumar Dutta, Sachin Gupta
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- Pages
- 360
- File size
- 4.71 MB
- Format
- Digital PDF
- Course
- Business
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- eBook[PDF]
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About this ebook
Revolutionizing the AI-Digital Landscape: A Guide to Sustainable Emerging Technologies for Marketing Professionals is a comprehensive industry textbook published by Routledge / Productivity Press. Edited by Alex Khang, Pushan Kumar Dutta, and Sachin Gupta, this 1st edition volume serves as a critical strategic blueprint for entrepreneurs, growth marketers, and business leaders navigating modern artificial intelligence integration. [1, 2, 3]
📘 Book Overview & Specifications
- Publication Date: June 7, 2024
- Length: 366 pages featuring 58 black-and-white illustrations
- Target Audience: Entrepreneurs, digital marketing specialists, and business strategists
- Publishing Formats: Available globally across platforms like Amazon in Hardcover, Paperback, and Kindle eBook formats. [1, 2, 3, 4]
🎯 Core Themes & Topics Covered
The text investigates how advanced automation and data modeling can be sustainably deployed to transform modern corporate operations. It specifically breaks down four critical domains: [1, 2, 3]
- AI Strategy: Structuring long-term framework designs that minimize resource drain while maximizing predictive accuracy.
- Customer Experience (CX): Leveraging automated touchpoints to streamline consumer journeys and improve satisfaction metrics.
- Content Marketing: Incorporating generative workflows to scale multi-channel content without compromising brand consistency.
- Digital Marketing Tools: Offering an analytical breakdown of software features, operational benefits, and prospective drawbacks. [1, 2, 3, 4]
💼 Practical Business Takeaways
- Informed Tool Selection: Helps teams weigh software pros and cons to align technical capabilities with specific operational goals. [1, 2, 3]
- Growth Hacking Integration: Guides marketers on using predictive analytics and machine learning to achieve scale through data-driven choices. [1, 2]
- Future-Proofing Workflows: Outlines how daily roles shift as routine tasks like audience segmentation and reporting transition entirely to AI. [1]
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4.71 MB
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