Profil
Atsu Wada has founded Cognirobo, Inc. in 2016, where he currently holds the title of Chief Executive Officer & Representative Director.
He has a graduate degree from the University of Hitotsubashi.
Postes actifs de Atsu Wada
| Sociétés | Poste | Début |
|---|---|---|
Cognirobo, Inc.
 Cognirobo, Inc. Packaged SoftwareTechnology Services Cognirobo, Inc. is a Japanese AI technology company that specializes in predicting consumer behavior using AI models. The company is based in Tokyo, Japan and was founded in 2016 by Atsu Wada, who has been the CEO since then. Cognirobo's AI models can analyze purchasing data such as POS data and credit cards to predict customer behavior with higher accuracy than human intuition. The company offers a one-stop service related to AI, including data analysis, correlation relationships, and AI model development. Cognirobo's AI models use clustering techniques to elucidate the causal relationships on the formation of the "intention" behind the data. The company has developed enhanced learning to optimize the timing of deploying hospital medical equipment on ward shelves in joint development with Teijin. | Fondateur | 01/10/2016 |
Formation de Atsu Wada
| University of Hitotsubashi | Graduate Degree |
Expériences
Fonctions occupées
Relations
Relations au 1er degré
Entreprises liées au 1er degré
Homme
Femme
Administrateurs
Exécutifs
Sociétés liées
| Entreprise privées | 1 |
|---|---|
Cognirobo, Inc.
Cognirobo, Inc. Packaged SoftwareTechnology Services Cognirobo, Inc. is a Japanese AI technology company that specializes in predicting consumer behavior using AI models. The company is based in Tokyo, Japan and was founded in 2016 by Atsu Wada, who has been the CEO since then. Cognirobo's AI models can analyze purchasing data such as POS data and credit cards to predict customer behavior with higher accuracy than human intuition. The company offers a one-stop service related to AI, including data analysis, correlation relationships, and AI model development. Cognirobo's AI models use clustering techniques to elucidate the causal relationships on the formation of the "intention" behind the data. The company has developed enhanced learning to optimize the timing of deploying hospital medical equipment on ward shelves in joint development with Teijin. | Technology Services |
