Exscientia 如何将监控和准备模型所需的时间从几天缩短到几小时
公司规模
200-1,000
地区
- Europe
国家
- United Kingdom
产品
- Seldon Deploy
技术栈
- AI
- Machine Learning
- MLOps
实施规模
- Enterprise-wide Deployment
影响指标
- Innovation Output
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - API 集成与管理
适用行业
- 医疗保健和医院
- 药品
适用功能
- 产品研发
用例
- 机器状态监测
- 质量预测分析
服务
- 数据科学服务
- 系统集成
关于客户
Exscientia plc 是一家由人工智能驱动的药物研发组织。该公司的使命是设计和开发新型、精密设计的药物，以提高临床成功率，造福患者。人工智能是其业务的核心，也是项目成败的决定性因素。该公司不断发展壮大，扩大了业务范围和目标，因此需要企业级规模解决方案。该公司独特的模型部署流程完全自动化，无需人工干预即可交付、监控和重新训练数千个模型。
挑战
Exscientia plc 是一家由人工智能驱动的药物研发组织，其模型的准确性和稳定性至关重要。该公司的模型部署流程非常独特，因为它是完全自动化的，因此无需人工干预即可交付、监控和重新训练数千个模型。然而，随着 Exscientia 扩大其覆盖范围和目标，它需要企业级规模的解决方案。该团队正在寻找额外的运营效率和其他方法来调试和稳定模型。现有的开源部署解决方案和推理平台已无法满足他们日益增长的需求。
解决方案
Exscientia 决定实施 Seldon Deploy 来协助监控和管理生产中的模型，使他们能够扩展并加快调试过程。团队必须决定在迁移到新的 MLOps 平台时是否要更改模型代码。更改代码可能会减慢整个项目的速度，因此他们决定保留相同的代码并将其移植到所有现有模型上。实施 Seldon 的好处之一是代码对 Seldon 来说并不重要，他们能够将架构与模型代码相匹配。这一决定节省了大量时间，并使 Exscientia 能够保持目前生产中的许多模型的稳定性和可靠性。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Case Study: Pfizer
Pfizer’s high-performance computing software and systems for worldwide research and development support large-scale data analysis, research projects, clinical analytics, and modeling. Pfizer’s computing services are used across the spectrum of research and development efforts, from the deep biological understanding of disease to the design of safe, efficacious therapeutic agents.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Fusion Middleware Integration on Cloud for Pharma Major
Customer wanted a real-time, seamless, cloud based integration between the existing on premise and cloud based application using SOA technology on Oracle Fusion Middleware Platform, a Contingent Worker Solution to collect, track, manage and report information for on-boarding, maintenance and off-boarding of contingent workers using a streamlined and Integrated business process, and streamlining of integration to the back-end systems and multiple SaaS applications.
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
