Avgidea Brings Business Ideas to Life with Data and AI
Avgidea Data Platform provides a one-stop data management and AI application execution environment
News
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Office relocation
2022.7.16
We would like to take this opportunity to thank you for your continued support. We are pleased to announce that we will be relocating our sales office to Ichigaya, Tokyo. We would like to take this opportunity to renew our commitment and dedicate ourselves to the company's business. We look forward to your continued patronage and support. |
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Press release : Avgidea Data Platform Launches Data Exchange and AI Predictive Model Execution Environment
2022.6.10
The Avgidea Data Platform (ADP) has newly implemented Data Exchange and Function capabilities as an environment for exchanging data and executing AI predictive models across enterprises. Data engineers and data scientists can reduce the workload of exchanging/processing data and deploying AI predictive models with customers and group companies. PR Times (Japanese) Blog |
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Update : PyTorch and scikit-learn are now available for Avgidea Function
2022.5.26
In addition to TensorFlow, PyTorch and scikit-learn are now available as runtime environments for Avgidea Function. ADP Tech Guide |
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Avgidea Data Platform : Demonstration video of clustering by scikit-learn
2022.5.24
A demo video of scikit-learn clustering execution using the Function feature on the Avgidea Data Platform is now available. |
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Third Annual Data Exchange Workshop at the University of Tokyo's "Data Markets" Lecture
2022.4.25
This year, for the third year and the first time, we held a Data Exchange Workshop on campus at the "Data Markets" lecture. It was an interesting session again this year, with students coming up with a variety of ideas. |
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Update : Avgidea Function can now be shared with authorized users
2022.4.4
Avgidea Function can now be shared with authorized users. Only execution privileges can be granted to specified users without sharing the AI model itself. ADP Tech Guide |
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Update : Avgidea Function now supports TensorFlow
2022.3.17
It is now possible to load models developed in TensorFlow into Avgidea Function and run predictions on files stored in Storage. ADP Tech Guide |
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Update : Specify file format for Google BigQuery export
2022.1.31
When exporting data from ADP to Google BigQuery, it is now possible to specify file formats such as JSON and AVRO in addition to CSV. |
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Update : Supporting Google Drive & Microsoft OneDrive DataSource
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2022.1.27
It is now possible to add folders from Google Drive and Microsoft OneDrive (OEM version only) as data sources for the Avgidea Data Platform. It is possible to import data in shared folders via entity sets. ADP Tech Guide |
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