Hi ,
Many data scientists dream of using their skills to develop ground-breaking AI technology. Yet, few manage to translate their
dreams into commercially viable products - or even know where to begin.
In the latest episode of Value Driven Data Science, Chief Technology Officer and co-founder of Australian technology start-up ProofTec, Dr Jeroen Vendrig, joins me to discuss his experiences in developing AI-driven products, both in an academic setting and in a variety of organisations within the commercial world.
This is the first part of a three-part special focussing on the use of data-science in start-ups.
Some of the things we discuss in this episode include:
- The key differences between doing data science/AI in an academic setting and doing it in the commercial world.
- How to go about translating academic research into commercially viable AI-based products.
- What makes for a successful university/commercial collaboration?
- The challenges of building AI
products from scratch, including lack of data and how to tell if a project has the potential to be commercially viable.
- Protecting IP for AI systems.
- The impact of having real end users on AI product development.
- The most valuable skills data scientists can develop for building commercial AI technologies.
You can listen to this episode by clicking the button below, or find it on Apple
Podcasts, Amazon Music, Spotify or Google Podcasts.
