Data Utilization Steps to Avoid Being Left Behind in the AI Era: Data Integration Strategies to Achieve AI-Ready
While the use of generative AI and AI analysis is accelerating, many companies are not achieving the expected results due to reasons such as "data being scattered," "inability to utilize necessary data," and "issues with the quality of data fed into AI." In this seminar, we will introduce practical approaches to establish data utilization based on successful case studies of BI and AI applications. We will also focus on the "AI-Ready data infrastructure" that influences AI accuracy and business integration, and Asteria Corporation will explain optimal data utilization strategies through data collaboration, integration, and automation. This is a rare opportunity for companies considering "wanting to implement AI," "wanting to further expand AI utilization," or "wanting to advance data utilization to the next stage" to hear practical content! Additionally, individual consultations and responses to questions will be available after the seminar. Customers considering AI utilization are encouraged to participate in this opportunity.
<Is that AI operating with the right data?>
The results of AI are determined not by the AI itself, but by the data. We will introduce practical approaches to establish data utilization and the "AI-Ready data infrastructure strategy" that influences business integration.

| Date and time | Tuesday, Nov 17, 2026 03:00 PM ~ 04:00 PM |
|---|---|
| Capital | Hitachi Systems, Solution Square Tokyo |
| Entry fee | Free |
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