Designing Intelligence: How Artifact Builds AI Products That Actually Work
Impossible d'ajouter des articles
Désolé, nous ne sommes pas en mesure d'ajouter l'article car votre panier est déjà plein.
Veuillez réessayer plus tard
Veuillez réessayer plus tard
Échec de l’élimination de la liste d'envies.
Veuillez réessayer plus tard
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
-
Lu par :
-
De :
À propos de ce contenu audio
Guest: Michael Wegmüller, Co-Founder of Artifact
Co-host: Dalith Steiger-Gablinger
Host: Stephan Lendi
What makes a good AI product actually work in the real world? It’s not just about models and infrastructure – it’s about interfaces, intuition, and end-to-end product thinking. In this episode of AI Talk, we delve into Artifact, a fast-growing startup from Switzerland that's helping the next generation of teams turn AI into practical, daily-use tools. We speak to co-founder Michael Wegmüller about what makes AI useful, what most teams still get wrong – and how to build products that go beyond hype.
We discuss:
- What Artifact does and the problems they are solving
- The difference between building AI models and building AI products
- Why UX and integration are often more important than model performance
- Examples of AI in action: Artifact success stories
- Advice for startups and corporates: What to focus on next
Vous êtes membre Amazon Prime ?
Bénéficiez automatiquement de 2 livres audio offerts.Bonne écoute !
Aucun commentaire pour le moment