Data has become one of the most valuable and most challenging assets in hub services and specialty pharmacy. Organizations are capturing more data than ever across access, engagement and outcomes, yet many struggle with fragmented systems, inconsistent quality and limited interoperability. Without a strong data foundation, even the most advanced AI tools cannot deliver reliable insights.

As AI adoption accelerates, the importance of AI-ready data infrastructure is coming into sharp focus. This session responds to the growing recognition that successful AI starts long before algorithms are deployed. Attendees will gain clarity on how to simplify complex data environments, establish governance that supports innovation and prepare their organizations to leverage AI responsibly and effectively. For those looking to move beyond reactive reporting toward predictive and proactive decision-making, this session provides a critical foundation.

What you’ll learn:

Attendees will gain practical guidance on:

• Ensuring data accuracy and consistency across hub systems, pharmacies and partners
• Designing governance frameworks that enable secure access while maintaining compliance
• Breaking down data silos that limit AI effectiveness
• Preparing data environments to support advanced analytics and AI-driven decision-making
• Turning raw data into actionable insights that improve operational efficiency and patient outcomes

Why this matters:

This session helps organizations move from reactive data management to AI-ready ecosystems, enabling smarter decisions at every stage of the patient journey.