From research insight to product
I spoke with Moritz Stoll on Tech & Trara about the difficult middle between research and practical products. The conversation moved through AI, deep learning, university constraints, and the question of what has to change when an insight is meant to become something people can use.
Topics in the conversation
- How research environments can make practical application harder than it needs to be.
- Why technical depth has to be translated before it can become a product decision.
- What gets lost when universities, companies, and users operate with different incentives.
The useful tension
The appearance sits exactly in the transfer problem: good research is not enough if the surrounding system cannot convert it into a useful product or workflow.