ARTIFICIAL INTELLIGENCE & DIGITAL MARKETING
Instructional goals
- Develop the ability to create and deliver dynamic presentations that effectively communicate complex concepts.
- Ideating and developing new digital marketing innovation ideas.
- Gain the competency to clearly pitch your project.
- Develop the ability to engage in critical thinking and problem-solving collaboratively.
Intended learning outcomes
- Develop a Digital Marketing Plan Using AI Tools: Participants will learn to create comprehensive marketing strategies by utilizing major AI tools.
- Understand the Impact of Technology in Marketing Evolution: Gain a deep understanding of how AI technology drives the evolution and potential of marketing, influencing both current practices and future trends.
- Collaborative Real-Case Application: Enhance skills in teamwork and collaborative problem-solving through the application of AI technologies in real-world case studies.
Course Contents
0. Setting the scene
From traditional to Digital Marketing and from Digital Marketing to AI digital marketing
1. The new AI Framework
Introduction to Artificial Intelligence in the realm of marketing. Explore the evolution and
current landscape of AI and digital technologies.
2. AI impact in Marketing
An overview of how AI is revolutionizing marketing strategies and operational efficiency.
3. Customers: Impact of AI Digital Marketing
Understanding the customer experience and engagement through AI.
4. Product Development and Innovation
Leveraging AI and digital technologies for product innovation and design.
5. AI Digital Advertising and Communication
Exploring the role of AI in advertising and communication strategies.
6. Digital Sales
AI applications in boosting digital sales and e-commerce.
7. Digital CRM
Using AI to enhance Customer Relationship Management.
8. Customer Journey
Mapping the digital customer journey with AI from awareness to post-sales behavior.
Reference Books
There is not any mandatory course book, in depth- readings will be suggested and distributed during course weeks.
Suggested Reading:
- The Coming Wave (Mustafa Suleyman)
- The Digital Transformer's Dilemma (Hannah Mayer, Andreas Reiter, Karolin Frankenberger, Markus Schmidt)
- The Worlds I See (Fei-Fei Li)
- How The Future Works (Sheela Subramanian, Brian Elliott, Helen Kupp)
- Prediction Machines (Ajay Agrawal, Avi Goldfarb, Joshua Gans)
- Rewired (Eric Lamarre, Kate Smaje, and Rodney Zemmel)
- Social Media Marketing (Philip Kotler)
- Winning Digital Customers (Howard Tiersy)
- Digital Business transformation (Nigel vaz)
- Future is Faster than You Think (Peter H. Diamandis & Steven Kotler)
- Metaverse (Matthew ball)
- Competing in the age of AI (M. Iansiri, K. Lakhani)
- The AI Economy (R. Bootle)
- Pivot to the future (O. Abbosh, P. Nunes, L. Dowes)
- Radical Uncertainty (J. Kay, Mervyn King)
- The Digital Transformation Playbook (D. Rogers)
- Digital Marketing Strategy (S. Kingsnorth)
- Exponential Organizations: Why New Organizations are Ten Times Better, Faster, and Cheaper Than Yours (and what to Do about It) (Michael S. Malone, Salim Ismail e Yuri Van Geest)
- Digital Darwinism (T. Goodwin)
Teaching Methods
- Role playing
- Group work
- Full interaction
- Business simulation
- Deep dive-session with business digital experts
- Additional deep dive readings
Is required a class attendance at least of 70% to pass the course
Assessment Method
- Work in groups and classroom presentations (50% of final grade)
- Intermediate test (20% of final grade)
- Final Written exam (30% of final grade)
Thesis assignment criteria
- Lessons attendance
- Mark no lower than 27/30
Week 1
0. Setting the scene
• From traditional to Digital Marketing
• From Digital Marketing to AI digital marketing and it's role in the transformation of the business ecosystem
-Workgroup activites
Week 2
1. The new AI Framework
Introduction to Artificial Intelligence in the realm of marketing. Explore the evolution and
current landscape of AI and digital technologies.
• Definitions and fundamentals of AI.
• From machine learning to Gen. AI.
• AI applications in marketing and ethical considerations.
• Where we are heading off (e.g. AGI Artificial General Intelligence).
• Emerging Technologies in the AI Ecosystem:Virtual Reality (VR), Augmented Reality (AR), Cloud Computing, Blockchain and Quantum Computing
Tools: AI platforms overview (e.g., Gemini AI, Chat Gpt, Sora, etc...).
-Workgroup activites
Week 3
2. AI impact in Marketing
An overview of how AI is revolutionizing marketing strategies and operational efficiency.
• AI-driven market research and customer insights.
• Personalization and AI content marketing.
• Automation in marketing processes.
• Enhance AI Forecasting Accuracy.
• Ai for Customer Loyalty
Tools: Tools (e.g. Marketo, HubSpot, and Salesforce Einstein)
Case Studies: AI applications in Digital Marketing.
-Workgroup activites
Week 4
3. Customers: Impact of AI Digital Marketing
Understanding the customer experience and engagement through AI.
• Enhancing customer understanding through data analytics.
• Creating marketing personas.
• Predictive analytics of customer behaviors.
Tools: Customer data platforms (e.g., Segment, predictive analytics tools)
Case Studies: Case studies on AI-driven customer experience transformations.
-Workgroup Activities
Week 5
4.1 Product Development and Innovation
Leveraging AI and digital technologies for product innovation and design.
• AI in product life cycle management.
• The convergence between AI and digital twin.
Tools: AI tools for product development (e.g., Autodesk)
Case Studies: Examination of real-world applications where digital twin and AI technologies have been crucial in product development, focusing on sectors like manufacturing, automotive, and aerospace.
-Workgroup Activities
Week 6
4.2 Product Development and Innovation
Understand the application of AI in tailoring products to customer preferences and the process of incorporating customer feedback into product development through AI technologies.
• Product recommendations and customization.
• Integrating customer feedback with AI.
Tools: AI tools for customer feedbacks.
Case Studies: Analysis of how companies in sectors such as retail and consumer electronics use AI to adapt product offerings based on evolving consumer demands and feedback.
-Workgroup Activities
Week 7
5.1 AI Digital Advertising and Communication
Exploring the role of AI in advertising and communication strategies.
• Programmatic advertising and real-time bidding.
• AI-driven content creation and curation.
Tools: Ad platforms like Google Ads AI, Facebook’s AI for ad optimization.
Case Studies: AI digital state of art campaigns
-Workgroup Activities
Week 8
5.2 AI Digital Advertising and Communication
Exploring the role of AI in advertising and communication strategies.
• Social media and influencer marketing automation.
• Search and Prompt/Chatbot marketing.
Tools: Platforms for social media automation and influencer marketing such as Hootsuite AI and BuzzSumo.
Case Studies: Detailed examples of brands that have successfully integrated chatbots and AI-driven social media strategies to improve customer engagement and sales outcomes.
-Workgroup Activities
Week 9
6. Digital Sales
AI applications in boosting digital sales and e-commerce.
• AI in e-commerce optimization.
• Chatbots and virtual assistants in sales.
• Dynamic pricing and sales forecasting.
• Sales digital touch points.
Tools: E-commerce AI tools such as Shopify AI, AI chatbots like Drift.
Case Studies: AI digital sales case studies
-Workgroup Activities
Week 10
7. Digital CRM
Using AI to enhance Customer Relationship Management.
• AI in customer service automation.
• Sentiment analysis and customer feedback.
• Enhancing customer loyalty and retention with AI.
• Gamification and Loyalty with AI.
Tools: CRM tools integrated with AI capabilities like Zoho CRM.
Case Studies: Examples of improved customer satisfaction and retention rates through AI-
enhanced CRM systems.
-Workgroup Activities
Week 11
8. Customer Journey
Mapping the customer journey with AI from awareness to post-sales behavior.
• Understanding and designing the AI-enhanced customer journey.
• Touchpoints optimization with AI.
• Analyzing and predicting customer behavior across the journey.
Tools: Journey analytics tools like Adobe Analytics, Google Analytics.
Case Studies: Real-world applications of AI in creating seamless customer journeys.
-Workgroup Activities
Week 12
9. Key aspects of Financial Planning and Final Project Presentation
• Introduction to budgeting and financial planning specific to digital projects.
• Final Project Presentation
Case Studies: Examples of standout project presentations that secured stakeholder approval or funding.