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Digital Business Model Innovation Framework: Implications of Generative AI

Digital Business Model Innovation Framework: Implications of Generative AI

Many traditional businesses struggle to conceptualize new business models, or alternatives versions of their current business models. Most literature focus on digital native businesses, i.e. Uber, airbnb, Instagram, etc, as the "poster child" for digital business model innovation and industry disruption.

This workshop is designed to expose traditional and established organizations to simple techniques for looking at their own organizations and releasing the thinking process and some artificial inhibitions. To contextualise the learning the workshop participants apply some of the concepts to a real-world case study. The workshop is concluded with a member of the management team of the company the case study was based on sharing critical insights and a Q&A session.



Part I | Business Model

  • Ice-breaker: Pre-Covid Assumptions that need to be reconsidered
  • Defining Digital Maturity and the dimensions that make up Digital and Transformation intensity
  • Why people are more important than ever
  • Ego-centric and zero-sum versus eco-centric and positive-sum business models
  • (Digital) platforms
  • Frameworks:
    • Strategic Assets
    • Reinvent your Business Model : Five BM Angles
    • Creating competitive advantage : Content + Experience + Platform
  • Case Study (work in groups of 3-5)
    • Identify Strategic Assets in case study organisation
    • Develop High Level Digital Business Model
    • Review actual business model
  • Q&A Session with a member of the management team of the company the case study was based on.

Part II | General AI 

  • Overview of General AI Functionality: Discussing its capabilities, potential risks, and limitations.
  • Comparative Analysis of General AI and Other AI/ML Techniques: Evaluating scenarios where General AI is more or less effective than alternative methods.
  • Practical Applications of General AI in Business Settings: Providing a range of examples illustrating effective utilization in various business contexts.
  • Exploration of Four Key Areas for General AI Integration: Enhancing customer and employee experiences, streamlining operations, and evolving business models.
  • Role of General AI in Enhancing Current Practices: Understanding how it can augment, automate, or lead to innovation in established procedures.
  • Emerging Enterprises in the General AI Sector: A look at new ventures and startups focusing on General AI technologies.


Organizational Leaders (Executives, Managers) wanting to develop a realistic strategy for their organization that take into account the opportunities and threats created by digitization and the new developments in Generative AI  


Leo D. Tomè - Digital Solutions Enabler; Free Thinker; Lover of Innovation and Digitalisation

MBA, M.Sc.Eng

Leo assists organizations with digital transformation. Bridging the gap between strategy, roadmap, and implementation. He has also facilitated related MIT Sloan online courses since 2016, and are currently facilitating Digital Business Strategy : Harnessing Our Digital Future and MIT Sloan + CSAIL Artificial Intelligence: Implications for Business Strategy courses

5,5 hours | from 9:00 a.m. - 3:30 p.m. 

May, 27th, 2024

at least 10 people


ACstyria Mobilitätscluster GmbH | Parkring 1 | 8074 Raaba-Grambach

ACstyria Partner Ticket € 450,- (exkl. VAT)
Regular Ticket € 640,- (exkl. VAT)

Digitalisierung und digitale Geschäftsmodelle
Branche Automotive
Branche Aerospace
Branche Rail Systems
by ACstyria Mobilitätscluster GmbH


Mo, 27.05.2024 09:00
- Mo, 27.05.2024 15:30


ACstyria Mobilitätscluster GmbH
Parkring 1
| Raaba-Grambach
| Austria


Schulung | Standard Kurs


Projekt- und Prozessmanagement