For any organization pursuing AI, then, it’s important to understand what constitutes a successful MVP. It’s equally important to a venture capital firm that invests primarily in AI companies — like Glasswing Ventures, with which we are both involved — to understand AI MVPs and what it takes to improve them.
...— early AI products have some unique requirements in terms of what qualifies them for MVP status.
Data and the MVP
Intelligence Beyond Data and an Algorithm
1. AI MVPs may require complex hybrid models.
2. AI MVP pilots need to show integration potential.
3. AI MVPs must exhibit evidence of domain knowledge.
4. AI MVPs need to provide Day Zero value.
A Minimum Viable Product Requires Minimum Viable Performance
See the full story here: https://sloanreview.mit.edu/article/what-is-a-minimum-viable-ai-product/