VIAVI and Eigengran Webinar on Cognitive-AI for Pharma Process
Artificial Intelligence (AI) is an evolving technology that aims to simulate human intelligence using machines. It encompasses subfields such as machine learning (ML) and deep learning. In process control, the future lies in AI's ability to learn dynamics from data. By interpreting real-time data, AI can deeply understand process dynamics and optimize control strategies dynamically. This converts multidimensional sensor data into actionable insights, significantly improving process optimization in critical unit operations in OSD pharma manufacturing, such as blending, granulation, drying, and coating. This sustainable solution reduces processing time and costs, benefiting both your bottom line and the environment.
Artificial Intelligence (AI) is an evolving technology that aims to simulate human intelligence using machines. It encompasses subfields such as machine learning (ML) and deep learning. In process control, the future lies in AI’s ability to learn dynamics from data. By interpreting real-time data, AI can deeply understand process dynamics and optimize control strategies dynamically. This converts multidimensional sensor data into actionable insights, significantly improving process optimization in critical unit operations in OSD pharma manufacturing, such as blending, granulation, drying, and coating. This sustainable solution reduces processing time and costs, benefiting both your bottom line and the environment.