Profile
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.
Atsu Wada active positions
Companies | Position | Start |
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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. | Founder | 01/10/2016 |
Training of Atsu Wada
University of Hitotsubashi | Graduate Degree |
Experiences
Positions held
Connections
1st degree connections
1st degree companies
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Female
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Linked companies
Private companies | 1 |
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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 |
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