What is the difference between edge and cloud computing?
Edge computing processes the data close to the source. Cloud computing processes the data in the central data center.
Edge computing architecture services for pharmaceutical manufacturers. The engagement covers the local processing, the real-time decisions, the GMP monitoring, the edge analytics, and the integration with the central historian.
The edge computing architecture covers the edge device, the edge gateway, the edge server, the local storage, the local analytics, and the integration with the central historian.
The real-time decisions cover the local control, the local alarm, the local interlock, the local optimization, and the local analytics.
The edge analytics cover the local anomaly detection, the local soft sensor, the local predictive maintenance, and the local optimization.
Use this Edge Computing for Pharma page as a planning checkpoint before vendor selection, architecture review, validation scoping or implementation sequencing. The strongest next step is to compare the guidance with your current SOPs, system inventory, batch records, data flows and QA review routines so the discussion starts from evidence instead of assumptions.
For Edge Computing for Pharma, prepare the records, owners, risks and decision criteria linked to edge computing architecture, real-time decisions, edge analytics. Useful evidence includes current process maps, interface lists, audit trail expectations, exception workflows, data retention rules and the business reason for changing the current operating model.
Edge computing processes the data close to the source. Cloud computing processes the data in the central data center.
The edge computing is validated per the GxP validation strategy.