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解锁知识:阿斯利康如何利用检索增强生成 (RAG) 技术变革知识管理.pdf

上传人: 山海 编号:627221 2025-04-21 27页 3.14MB

1、Feb2025PUBLICUnlocking KnowledgeHow AstraZeneca is transforming Knowledge Management with Retrieval Augmented Generation(RAG)technologyPatrick Teung is a seasoned manufacturing process technology professional with over 20 years of experience in the pharmaceutical industry.Throughout his career,he ha

2、s focused on developing innovative processes and technologies to accelerate the delivery of new medicines to patients.Patrick has been an SME and team leader for process development,hardware development,and manufacturing(clinical and commercial).Rachel brings over 25 years of pharmaceutical industry

3、 experience,including 12 years dedicated to knowledge management(KM).At AstraZeneca,she leads the integration of Generative AI into KM,pioneering the companys Retrieval-Augmented Generation(RAG)prototype for transforming product manufacturing technical knowledge.Her expertise lies in enhancing colla

4、boration,streamlining access to technical information,and delivering measurable business impact.Rachel is a recognized thought leader passionate about leveraging innovative technologies and foundational KM principles to drive organizational transformation and foster collaboration within AstraZenecas

5、 pharmaceutical manufacturing operations.SpeakersRachel HowePrincipal Scientist Knowledge ManagementOperations|Pharmaceutical Technology&Development(PT&D)|Technology Operations Science Innovation(TOSI)Patrick TeungPrincipal EngineerOperations|Pharmaceutical Technology&Development(PT&D)|Technology Op

6、erations Science Innovation(TOSI)Pat to review&update,if neededOur purposeWe push the boundaries of science to deliver life-changing medicinesOur values3March 20243We Put Patients FirstWe Follow the scienceWe Play to WinWe are Entrepreneurial We Do the right thing2023 global highlights4March 2024$10

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本文介绍了AstraZeneca公司如何利用Retrieval Augmented Generation (RAG)技术革新知识管理。Patrick Teung和Rachel Howe是该领域的专家,分别拥有20年和25年的制药行业经验,他们在推动公司采用RAG技术方面发挥了关键作用。RAG技术是一种生成式AI,用于增强知识管理,通过该技术,AstraZeneca旨在更快地解决问题,提高首次解决问题的正确率,并支持更加灵活的劳动力,以便向更多需要药物的患者提供更多药品。 公司的愿景到2030年,AstraZeneca预期将推出至少15种新药,并实现碳排放为零,从而为人们、社会和地球带来更大的改变。文章还提到了AstraZeneca在研发上的投入,以及其在全球范围内的制造和研发网络。 此外,文中还讨论了如何通过PTK(Product Technical Knowledge)工具优化全球产品管理和决策,以及如何通过AI技术提高数据的可访问性和质量。最后,文章强调了在实施这些技术时面临的挑战,并呼吁在整个组织中推广这种创新思维方式。
"AstraZeneca如何利用RAG技术变革知识管理?" "人工智能在药物开发中的作用和前景如何?" "AstraZeneca的产品和技术知识管理有哪些挑战和解决方案?"
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