ウェビナー動画：Sanofi社、cPEPPの実践 - ハイスループットなタンパク質発現および精製
Sanofi社では、Genedata Biologics®を組み込んだ一元的なデジタルプラットフォームを構築し、FAIRデータ原則とグローバルガバナンスに対応した統合データ管理を実現しています。これにより、データサイロの解消、ワークフローの効率化、AIによる意思決定のサポート、IT業務負担の軽減、そして長期的なデータ再利用が可能になります。
In this webinar, learn how Sanofi has integrated Genedata Biologics within its Large Molecules Research Organization to enhance data management and automation. The team is building a global data governance strategy grounded in FAIR data principles and powered by a centralized digital platform.
Eva Bric-Furlong, Automation Specialist and Research Investigator at Sanofi, will discuss how the platform helps eliminate data silos, streamline workflows, and support AI-driven decision-making, while reducing IT overhead and enabling long-term data reuse.
Learn how Sanofi uses Genedata to:
- Establish a global data governance strategy that promotes best practices across the Large Molecules Research Organization.
- Implement FAIR (Finable, Accessible, Interoperable, Reusable) data principles to ensure high-quality, accessible data across teams.
- Support machine learning and AI-driven decision-making by centralizing data within a unified automation platform.
- Eliminate data silos and enable cross-project use of structured datasets.
- Ensure instant access to high-quality data while reducing IT overhead and manual effort.
- Structure and store data for long-term use, supporting future research and development needs.
- Streamline workflows and improve productivity through a single, scalable data management framework.
Who Should Watch:
- Data Scientists: Learn how centralized, structured data supports advanced analytics, machine learning, and AI-driven decision-making.
- IT Professionals: Explore how Genedata Biologics integrates with existing infrastructure to reduce overhead and support scalable data management.
- Research and Development Managers: Discover how digital platforms streamline workflows, improve data quality, and accelerate innovation.
- Clinical Researchers: Understand how structured data and automation enhance reproducibility and support translational research.
- Regulatory Affairs Specialists: See how standardized data capture and governance practices ensure compliance with regulatory standards.
- Pharmaceutical Executives: Gain insights into how data-driven strategies can support long-term innovation and operational efficiency.
