Artificial Intelligence (AI) is transforming maintenance strategies across industries, offering unprecedented opportunities to predict failures, optimize resources, and drive operational efficiencies. This keynote will explore how AI is reshaping the landscape of maintenance, moving beyond traditional preventive practices to prescriptive, data-driven approaches that anticipate and prevent issues before they occur. Attendees will gain insights into how AI-powered tools and machine learning algorithms are being integrated into real-time maintenance operations to optimize asset management, reduce downtime, and extend the lifespan of critical equipment. In this session, you will learn how to:

• Leverage AI and machine learning to transition from reactive maintenance to predictive and prescriptive maintenance strategies.
• Integrate AI-driven technologies into existing maintenance workflows to enhance decision-making and reduce unplanned downtime.
• Utilize data collected from sensors and IoT devices to feed AI models, creating a proactive maintenance culture that ensures maximum uptime.
• Explore real-world case studies that demonstrate the financial benefits and operational improvements achieved through AI-enabled maintenance.
• Build a roadmap for implementing AI-driven maintenance solutions, from pilot projects to full-scale deployment across multiple sites.

• How can pharmaceutical companies address the technical challenges associated with varying site maturities, such as different levels of automation and equipment sophistication, to enhance maintenance effectiveness?
• In what ways can cultural and regional differences affect the technical execution of maintenance tasks, and how can companies develop protocols that accommodate these differences while maintaining high standards?
• What techniques can be employed to optimize the use of predictive and preventive maintenance technologies across global sites, and how can these methods be adapted to local conditions and resource availability?
• How can organizations balance the need for rigorous compliance with cGMP standards and environmental regulations with the goal of streamlining maintenance processes and minimizing downtime?

In the Harvesting Session the World Café moderators will summarize the results of their discussions and present key findings.