ARTIFICIAL INTELLIGENCE & DIGITAL MARKETING

ARTIFICIAL INTELLIGENCE & DIGITAL MARKETING

Maximo Ibarra

Obiettivi formativi

- 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.

Risultati di apprendimento attesi

- 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.

Contenuti Del Corso

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.

Testi Di Riferimento

There is not any mandatory course book, in depth- readings will be suggested and distributed during course weeks. Suggested Reading: - AI impact (Paolo Cellini, Maximo Ibarra) - 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)

Metodologie Didattiche

- 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

Modalità di verifica dell'apprendimento

- Work in groups and classroom presentations (50% of final grade) - Intermediate test (20% of final grade) - Final Written exam (30% of final grade)

Criteri per l’assegnazione dell’elaborato finale

- Lessons attendance - Mark no lower than 27/30

Settimana 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

Settimana 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. • AI Agents: What they are, how they work, real examples. • 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

Settimana 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

Settimana 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

Settimana 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

Settimana 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

Settimana 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

Settimana 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

Settimana 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

Settimana 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

Settimana 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

Settimana 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.