| Titre : |
From product to platform: a future development direction of AI companies - A case study of ChatGPT |
| Type de document : |
Mémoire |
| Auteurs : |
Jingyi YANG, Auteur |
| Année de publication : |
2023 |
| Importance : |
33 p. |
| Note générale : |
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| Langues : |
Anglais (eng) |
| Mots-clés : |
Management
INTELLIGENCE ARTIFICIELLE ; MODELE D'ENTREPRISE ; CHAINE DE VALEUR
|
| Résumé : |
The rapid advancement of Artificial Intelligence (AI) has revolutionized numerous industries, prompting companies to explore innovative strategies to harness AI capabilities for enhanced market competitiveness and sustainable growth. This dissertation investigates the transition from a traditional AI product to a platform-based model as a promising future development direction for AI companies. Focusing on the case study of ChatGPT, a well-known language generation model, this research aims to unravel the underlying dynamics, the value chain, and challenges of adopting a platform-oriented approach in the AI industry. |
| Programme : |
MSc Business Analytics |
| Permalink : |
https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=581669 |
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From product to platform: a future development direction of AI companies - A case study of ChatGPT / 2023 
