AI think you’re pretty smart for opening this door!
Yes, ChatGPT came up with that. Luckily, it can do a lot more than write terrible jokes. In fact, in a matter of seconds it can achieve what normally would have taken months and entire teams of people to accomplish. For an entrepreneur, that could mean the difference between defeat and a whole new life trajectory. This is why our resident expert on the topic asked himself: “How can Large Language Models like ChatGPT support budding entrepreneurs in their startup journey?” And this workshop is his answer.
Over two days, you will learn how to leverage the potential of this increasingly influential technology to your advantage. Using AI as both a tool for generating new ventures and for validating and refining them, you will explore and develop all the key areas of your own entrepreneurial process, including:
- Opportunity identification
- Opportunity evaluation
- Market analysis
- Product concept and value proposition
- Competitive analysis
- Intellectual property
- Business model
- How to optimise the prompt engineering process for ChatGPT.
- How to generate or identify an entrepreneurial opportunity using ChatGPT.
- How to use ChatGPT to explore the potential of an entrepreneurial opportunity.
- How to use ChatGPT to analyse different decision paths in the entrepreneurial journey.
- How to role-play with different stakeholders in the entrepreneurial ecosystem using ChatGPT.
ELIGIBILITY & SELECTION
All students and alumni of SSES member universities are eligible to apply to this weekend workshop. We get many applications and unfortunately cannot accept everyone. The selection process is outlined below.
- Application is reviewed
- Selection is made and a confirmation email is sent out
- Participants must confirm their seat in order to secure the spot
- If spots are not confirmed in time, the waitlist will be reviewed and new participants selected
About the teacher
Francesco Ferrati holds a PhD in Management Engineering from the University of Padova. He is currently a researcher in Entrepreneurship at the Department of Industrial Engineering (DII) and SCENT, the School of Entrepreneurship. He teaches a Graduate Degree course in “Business Administration and Organisation” and his research interests include the analysis of key success factors for tech-driven startups and equity investors’ decision-making processes. From a methodological perspective, he applies a strongly data-driven approach based on the analysis of large business-related datasets through advanced data mining and machine learning techniques. He also has a general interest in artificial intelligence as a driver for new methodological approaches to entrepreneurship.