In this forward-looking panel, industry experts will explore how AI — including the emergence of agentic AI — is transforming maintenance practices across the pharmaceutical industry. As companies strive to achieve operational excellence at scale, AI is no longer limited to data analysis; it is evolving into an active participant in decision-making, orchestration, and continuous optimization. This discussion will examine how AI-driven systems, from predictive models to autonomous agents, are reshaping maintenance strategies — from asset lifecycle management to intelligent resource planning and adaptive operational support. Panelists will share practical insights into implementation, key learnings, and how they’re embracing the next evolution of AI to strengthen performance, compliance, and resilience across global sites. Learn more about:
- How AI-powered tools — including emerging agentic systems — are enabling proactive and adaptive maintenance practices that reduce downtime and increase asset value.
- Integrating AI into asset lifecycle management to automate decision support, optimize replacement strategies, and dynamically adapt to site-specific performance patterns.
- Enhancing resource planning through AI agents that autonomously coordinate maintenance schedules, allocate resources in real time, and align capabilities with shifting operational needs.
- Creating consistent operational support through AI-driven insights and decision agents that help maintain compliance, uphold quality standards, and enable rapid, localized action across decentralized sites.
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