What technologies are enabling smart quality control and monitoring?
Smart quality control is creating opportunities in automated monitoring, quality control, predictive maintenance and predicting clinical efficacy.
A range of technologies underpin smart quality control and monitoring. Automated monitoring is underpinned by developments in drones, sensors, reinforcement learning, machine learning, wireless sensors, 5G telecommunication and computational modelling. Improvements in AI and machine learning are driving more accurate predictive analytics.
To get the most out of emerging smart quality capabilities, a complete redesign of processes is often necessary, but often challenging due to the number of stakeholders involved. The best place to start is to identify the areas where costs and failures are highest. Positive internal success stories internally help demonstrate the effectiveness of the automation vertically and horizontally meaning there is buy-in from other stakeholders.