• Which condition-based maintenance methods have proven most effective in your operations?
• What regulatory or internal challenges have you faced when updating maintenance practices?
• How do you ensure consistency across different asset types and environments?
• What does continuous improvement look like in your maintenance strategy?
• How do you demonstrate the value of maintenance initiatives to leadership?

In this forward-looking panel, industry experts will discuss how AI is shaping the future of maintenance practices within the pharmaceutical industry. As companies aim to drive operational excellence across global sites, AI is emerging as a critical catalyst for optimizing maintenance strategies—from asset lifecycle management to resource planning and operational support. This panel discussion will delve into how AI can enhance predictive maintenance practices, extend asset lifecycles, improve resource allocation, and support consistent and compliant operations across all sites. Panelists will share insights into their approach, lessons learned, best practices, and the evolving role of AI in achieving maintenance excellence that empowers pharmaceutical success. The following topics will be discussed in the panel:

• How AI-powered tools can drive maintenance excellence by enabling proactive, precise maintenance practices that maximize asset value and reduce downtime.
• Integrating AI into asset lifecycle management to extend asset lifespan, optimize replacement strategies, and support effective lifecycle planning across global sites.
• Enhancing resource planning and allocation with AI by using predictive insights to streamline maintenance schedules, optimize resource distribution, and align workforce capabilities with maintenance needs.
• Building consistent operational support through AI-driven insights to improve compliance, maintain quality standards, and streamline decision-making across geographically dispersed sites.