AI, Forecasting, Insights and Analytics for Smarter Decisions in Pharma

17 July 2026

Forecasting, insights and analytics is a strategic decision-making function within global product strategy and commercial departments in pharmaceutical companies. Unlike operational or sales-focused functions, these teams are responsible for maintaining objectivity in long-term forecasting accuracy and commercial planning for pharma products. This conference will explore how pharma organizations are using advanced analytics, AI and Real-World-Evidence to improve forecasting assumptions, support lifecycle management and drive better strategic decisions. By strengthening forecasting and analytics capabilities, pharma companies can stay ahead of competitors, identify growth opportunities and optimize commercial performance across evolving markets.  

The Marcus Evans AI, Forecasting, Insights and Analytics for Smarter Decisions in Pharma conference will explore how pharma leaders are embedding Gen AI for long-term forecasting, Agentic AI for Real-World-Evidence generation and advanced analytics into cross-functional workflows to improve forecasting confidence, commercial responsiveness and long-term strategic planning while maintaining strong data and AI governance. Learn from case studies, expert-led panels, roundtable discussions and interactive workshops on Gen AI-powered forecasting, AI-enabled commercial workflows, rare disease forecasting, lifecycle forecasting and strategic decision-making across evolving therapy markets. Whether you are looking to strengthen forecasting assumptions, accelerate AI adoption, improve launch planning or drive more informed commercial decisions, this event will deliver practical insights and actionable strategies from senior forecasting, analytics and AI leaders across pharma.

Topics Covered:

  • Drive strategic decision-making through forecasting, scenario planning, and market intelligence 
  • Shift from Forecasting to Foresight with Agentic AI and Real-World Evidence to Prepare for Multiple Futures 
  • Advance rare disease forecasting through integrated data and patient-centric insights 
  • Build forecasting agility in volatile and high-growth therapy markets 
  • Maximize forecasting confidence through healthcare data governance and analytical integrity 
  • Structure enterprise AI, forecasting and analytics functions through shared governance and operating models 

Best Practices and Case Studies from:

  • Philippe Barillon, Executive Director, Strategic Intelligence & Business Impact, Global Corporate Affairs, Novartis 
  • Alireza Moayyeri, Senior Director, RWE Global, UCB 
  • Paul Boutry, Head of Strategic Planning & Analytics, BioMarin
  • Gerardo Martinez, Senior Director, Global Market Access – Pipeline (Immunology & Rare Diseases), CSL 
  • Christopher Meyer, Head of Strategy & Operational Excellence, Ferring Pharmaceuticals
  • Peter Elsig Raun, Director, Commercial Leadership Office and Projects, Lundbeck

Special discounts available to Pharmaceutical Tech members! For more information please contact: Stefanos Ioannou, Digital Media and PR Executive at stefanosi@marcusevanscy.com  or visit: https://tinyurl.com/2c87z5ks