この事例は現在、英語でのみご覧いただけます。
韓国医療・ライフサイエンス2024 – 継続中Seegene
Azure OpenAI and AI agents for diagnostic R&D
Seegene uses Azure AI in R&D; product planning drops from four experts for a month to one person in a day
課題
The PCR diagnostics maker earns about 90% of revenue overseas and needs faster research and genomic analysis. Planning one diagnostic product took four experts a month.
取り組み
Seegene uses Azure OpenAI to summarize papers and web content, Azure AI Search for retrieval, Document Intelligence for PDFs and custom AI agents. It ran a Microsoft Fabric proof of concept in 2024 and uses Azure HPC for gene sequence analysis.
主な数値
示唆
Seegene reported less work in diagnostic product planning after introducing AI. Seegene had not yet reported achieving the expected gains in analysis time.
分類
- 規模
- 中堅・成長企業
- 業務機能
- IT・研究開発
- イノベーションの類型
- プロセス・イノベーション
- 導入形態
- ベンダーのソリューション
- 目的
- 生産性・スピード
- 根拠
- ベンダーの事例紹介
出典
出典の要約
Microsoft describes the Azure services Seegene uses in R&D and reports a 75% reduction in product planning workload. The expected 20-fold reduction in analysis time remained a target. Seegene ran a Fabric proof of concept in 2024.
詳細は原典でご確認いただけます。
