Integrating multiple data sources with generative AI enterprise search.
The processing speed has improved, with the index generation time for small-scale datasets reduced from several hours to just a few minutes!
We will introduce the effects of implementing "Generative AI Enterprise Search" in response to the challenge of integrating distributed data sources. Internal information is managed across multiple systems such as email, cloud storage, CRM, and ERP, making it difficult to search across them. As a result, necessary information gets buried, hindering rapid decision-making in business operations. By integrating multiple data sources and providing a unified search environment, we can prevent information loss. 【Case Overview】 ■Challenges - Information dispersion across multiple systems is a significant barrier. - Conducting cross-system searches is difficult, leading to information loss. ■Implementation Effects - With Google Vertex AI Search, the indexing time for small datasets has been reduced from several hours to just a few minutes, achieving improved processing speed. *For more details, please download the PDF or feel free to contact us.
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