In the Twin project we are using cutting-edge AI technologies, from GPT+ assistants to innovative development tools like OpenDevin and Devika, to enhancing roles such as Product Owners, Scrum Masters, Software Architects, and more. We are researching the following questions:
- What is the impact of AI to software development (ideation to impact in production) in terms of quality and efficiency?
How AI can augment roles and activities that are part of the journey from concept to cash?
- What are the strategic choices that organisations will face (in context of digital service development?
- What are the ethical considerations that raise from this change?
We have designed tens of experiments to validate assumptions that are identified from multiple future scenarios that AI may steer us. To highlight a few:
How can AI assist in product ownership?
- How can the future of concept design look like?
- Can we just AI generate the solutions?
- Is AI capable of architecting systems?
Can GenAI work as a scrum master?
What are the opportunities within the whole lifecycle of digital services?
In this Crash Course you will learn:
How to systematically approach experimentation with GenAI tools
- Real-life experiences from wide and deep use of GenAI tools
- Near term value props and long term potential of GenAI capabilities
- Real-life pitfalls to keep in mind with AI augmentation.
This course is for business, data, AI and IT leaders, as well as for engineers, developers and other members of product teams interested in knowing what GenAI could do for software development. Watch the Crash Course!
