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H2O.ai - User Case Study -Yokogawa Electric Corporation Corporation
Accelerate DX by realizing highly accurate predictions in a short period of time
Yokogawa Electric Corporation, which provides instruments and control systems to a variety of production sites, is using H2O.ai's machine learning automation platform "Driverless AI" provided by Macnica to realize DX (digital transformation) using AI. introduced. In this article, we spoke to two people from the Strategic System Solutions Department of the Global Application and Data Management Center, Digital Strategy Headquarters, who are responsible for everything from the introduction of Driverless AI to the actual project deployment.
POINT
- Introduced machine learning automation platform for predictive AI creation
- Proceed quickly with multiple projects in parallel based on data analysis experience in BI
- 自然言語分析AIとの連携によるサポート長期化予測で迅速な顧客サポートを追求
Digital Strategy Headquarters Global Application and Data Management Center Strategic System Solutions Department VDA Promotion Section
Junko Yamashita
Digital Strategy Headquarters Global Application and Data Management Center Strategic System Solutions Department VDA Promotion Section
Keita Miyamoto
[Background] Prediction based on data analysis is practiced in-house and deployed to support DX for customers
The VDA (Virtual Data Analytics) Promotion Section of the Digital Strategy Headquarters is a department whose mission is to promote the analysis and utilization of data within the company. So far, we have deployed the self-service BI tool "Tableau" in-house and promoted the use of data accumulated in the core system at the business site. As a preliminary step to providing solutions that support customers' DX, the company's policy is to first implement new technologies in-house and to deploy the know-how obtained from the results outside the company. It is said that the introduction of new technologies is not originally top-down, but is often led by the Digital Strategy Headquarters. This time, Driverless AI also aims to have future predictions based on data analysis actually utilized in internal business departments, and has started a bottom-up initiative from the same headquarters.
[Problem] Focusing on predictive AI to efficiently predict “what will happen”
As mentioned above, the company has been promoting data analysis of the core system for some time, and the business department has a history of utilizing data such as sales, shipments, and production in business through self-service BI. However, Junko Yamashita of the VDA Promotion Section explains that most of the data analysis so far has been limited to "reflection on the past." "With the spread of data analysis using BI, we were able to see forecasts for recent sales, shipments, production, etc. to some extent, but the forecast data was not that highly reliable. Using the data used to take a certain amount of time and effort, so it is now possible to predict "what will happen in the future" with a higher degree of accuracy and efficiency, and use it in various operations more easily than before in the business department. We focused on predictive AI because we wanted people to be able to
The company has already worked on many AI projects, and is working toapply AI to business not only in Japan but also at its global group companies. However, I …
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