Webinar: AI-Driven Manufacturing: How to Optimise Quality, Stability, and Throughput Simultaneously

The event titled Webinar: AI-Driven Manufacturing: How to Optimise Quality, Stability, and Throughput Simultaneously is an insightful online session aimed at addressing the challenges faced by manufacturers today. With increasing pressure to enhance quality while minimizing variability and maximizing throughput, organizations often grapple with aging infrastructure, fragmented data, and limited engineering resources. This webinar, hosted by TwinThread, will focus on how leading manufacturers employ Industrial AI to transition from reactive operations to proactive, self-optimizing production systems.During the session, attendees will explore the capabilities of TwinThread's Industrial AI Platform through real-world use cases. The platform aids organizations in identifying hidden process drivers, stabilizing operations, and improving production performance continuously. Key topics will include achieving perfect quality to mitigate scrap and rework, maintaining optimal operating ranges to standardize best performance, and integrating various AI capabilities into a unified operational intelligence platform. Participants will learn how Industrial AI can significantly reduce process variability, enhance consistency, accelerate root-cause analysis, and optimize yield, throughput, and uptime. The session will provide practical examples, demonstrating the measurable operational impacts achievable in a short timeframe, making it relevant for those focused on quality improvement, process optimization, or digital transformation initiatives.The webinar will feature Mariam Ilyas, an experienced engineering consultant at TwinThread. With a background that includes roles at Honeywell and ExxonMobil, and educational credentials in data analytics and chemical engineering, Mariam is passionate about leveraging automation and modeling to improve manufacturing processes. Attendees can expect valuable insights into how AI can empower operations teams with real-time decision support and drive continuous improvement across production lines.