Turnberry Solutions at the 24th American Pharma and Biotech Project, Program and Portfolio Management Conference

Join Turnberry at the 24th American Pharma and Biotech Project, Program and Portfolio Management Conference, where we’re proud to be presenting, Unlocking the Future of Pharma R&D with AI and ML. Speakers include Turnberry subject matter experts:

• Emily Anderson, Client Partner – Global Life Sciences Lead
• Ray Li, Solution Director – Data Strategy & AI
• Susan Montgomery, Principal – Business Transformation

Throughout the two-day event, our team will be available to network and discuss key topics including optimizing portfolios, using AI/ML in pharma, simplifying clinical trials and regulatory compliance, hybrid project management, resource allocation, and more. We hope to see you there!

Presentation Overview: Unlocking the Future of Pharma R&D with AI and ML

AI and ML have the potential to revolutionize portfolio demand planning in pharma R&D IT by improving forecasting accuracy, optimizing resource allocation, and reducing uncertainties in drug development. However, before diving into a proof of concept (POC), organizations must first address key hurdles such as data quality and availability, stakeholder alignment, and integration with existing processes. This session offers a practical roadmap for integrating AI into the demand planning cycle by exploring the full AI journey—from defining the need and assessing organizational readiness to building an iterative implementation plan. We will navigate the complexities of compliance and regulatory constraints as well as data quality and talent readiness that often slow down or blockade your ability to harness value from AI POCs.

Key takeaways:

• Progressive Implementation: Apply a tiered model to seamlessly integrate AI into your operations

• Define Your AI Why: Understand the purpose and benefits of AI accelerators in portfolio demand planning

• Evaluate Readiness: Assess your data, processes, and people for AI integration