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.
Amazon Web ServicesAmazon Web Services has developed the managed cloud platform AWS IoT to let connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
Pfizer is an American global pharmaceutical corporation headquartered in New York City, with 78,300 employees worldwide.
- CONNECTIVITY PROTOCOLS
Pfizer has now set up an instance of the Amazon Virtual Private Cloud (VPC) to provide a secure environment with which to carry out computations for research and development. The VPC has enabled Pfizer to respond to these challenges by providing the means to compute beyond the capacity of the dedicated computing systems, which provides answers in a timely manner.
- DATA COLLECTED
- SOLUTION TYPE
- SOLUTION MATURITY
Emerging (technology has been on the market for > 2 years)
- OPERATIONAL IMPACT
Impact #1 [Cost Reduction - Installation]
There is no need to invest in additional hardware and software, reducing installation lead times and costs.
Impact #2 [Efficiency Improvement - R&D]
Exploring specific scientific questions in a timely, scalable manner helps Pfizer make better decisions more quickly.
Impact #3 [Data Management - Data Analysis]
Cloud solutions enable aggregation of 'big data' to enable more robust analysis, leading to new product discoveries that would otherwise not have been possible.
- QUANTITATIVE BENEFIT
- USE CASES
Factory Operations Visibility & IntelligenceVisualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.