Join 150+ C-level, VP & Director-level leaders from Sanofi, Syneos Health, Johnson & Johnson, Pfizer, MSD, Roche, GSK and more as they share both wins and lessons learned from embedding AI across R&D, clinical trials, regulatory, and commercial operations.

The rapid advancement of AI technology offers unprecedented opportunities for the pharmaceutical industry, where drug discovery moves at unprecedented speeds, clinical trials are streamlined for efficiency, and regulatory approvals are faster than ever before. However, sceptical of the "AI hype" pharma leaders need a clear path to AI integration.

This September, Pharma IQ is bringing together key AI stakeholders from big pharma responsible for drug discovery, clinical trials and supply chain to meet with key technology consultancies and vendors who will share practical applications and case studies.

Amongst the sea of AI events, AI for Pharma & Healthcare is uniquely positioned, there will be 3 streams consisting of drug discovery, clinical trials and supply chain to ensure that sponsors can showcase their expertise to a targeted audience from our three streams. The sponsorship prospectus has more information on the audience, key audience drivers and sponsorship package opportunities.

Here’s a snapshot of early confirmed attendees for AI for Pharma & Healthcare 2025: Pfizer, AstraZeneca, Johnson & Johnson, GSK, Roche, Novartis, Sanofi, Bayer, Takeda, and more. Senior leaders across drug discovery, clinical trials, supply chain, and AI strategy will be in the room—offering a focused, high-level audience actively investing in AI solutions. This is your opportunity to connect with the pharma teams driving real-world adoption.

From accelerating drug discovery and optimising trial design to transforming commercial models and improving patient engagement, AI is becoming the backbone of next-generation healthcare systems. This smart summary distils the most critical insights into one powerful piece, built to help decision makers cut through the noise and focus on what matters. With exclusive insights from Rajvir Madan, Chief Digital and Information Technology Officer, Arcutic Biotherapeutics, this guide provides a clear, strategic snapshot of where AI is delivering value and how to stay ahead of the curve.

Download to learn more about:

Where AI is delivering tangible value today: Across R&D, clinical development, and commercial operations

The biggest implementation challenges: From data quality and regulatory compliance to change management

A roadmap for adoption at scale: Including steps to operationalise AI responsibly and ethically

AI in pharma and healthcare has moved beyond the hype. The question is no longer if AI works, but how to scale it effectively across the pharmaceutical value chain.

From accelerating drug discovery to streamlining clinical trials and transforming patient engagement, AI is reshaping the future of healthcare. But scaling AI isn’t simple; it requires strategic alignment, robust infrastructure, and regulatory foresight.

Download to learn more about:

• Avoiding common pitfalls: Learn from industry missteps and avoid wasting time and resources on fragmented pilots or underprepared infrastructure.
• Aligning stakeholders: Ensure cross-functional teams - from IT and data science to compliance and executive leadership - work toward shared goals.
• Accelerating time to value: With the proper foundation, you can move from experimentation to enterprise-wide transformation more efficiently.
• Ensuring compliance and trust: Build AI systems that are effective but also ethical, transparent, and regulation-ready.
  

In this presentation, Richard Meinesz, R&D Advisory at Syneos Health, shares a crucial session on managing expectations for successful AI implementation in pharma and healthcare.

Are you struggling to translate AI excitement into tangible results? Frustrated by promising POCs that never scale? This presentation cuts through the hype to deliver practical wisdom on bridging the gap between AI's immense potential and real-world implementation challenges.

Download to learn more about:

• Why expectation management is the critical factor in successful AI development
• How to navigate the common pitfalls that prevent 85% of AI initiatives from delivering ROI
• Practical strategies to transform product development teams from "buzzkills" to innovation enablers
  

AI is transforming drug discovery, diagnostics, and patient care—but with innovation comes complexity. Before you implement and scale, you need the full picture.

This infographic examines the tangible benefits and the underlying challenges of AI adoption throughout the pharmaceutical value chain. This resource is essential for pharma leaders looking to drive impact while avoiding costly missteps.

Download to Discover:

• The proven advantages of AI: Faster drug development, smarter diagnostics, and better patient outcomes
• The top implementation challenges: From ethical dilemmas to data security and legacy system integration
• The strategies pharma leaders are using: To balance innovation with risk and scale AI successfully across the value chain
  

As pharma and healthcare companies accelerate AI adoption, our latest report, The Pharma AI Revolution, reveals where investment is headed and what decision-makers need most.

Download to uncover:

• High-impact AI use cases across R&D, diagnostics, and operations
• Tech maturity ratings and implementation frameworks
• Real-world insights from Roche, AstraZeneca, and Sanofi