Tuesday, April 23rd, 2026: Day TwoThursday, 23 April 2026 - US/Eastern

For emerging biotech companies leveraging AI, early operational decisions can define long-term scalability and compliance. This session provides a practical roadmap for creating durable procedures that foster innovation while supporting sustainable growth.

Key Themes:

• What “good” procedures look like in an AI-enabled biotech environment

• Building SOPs that balance flexibility with regulatory readiness

• Embedding quality and reproducibility into workflows from day one

• Common pitfalls in early-stage biotech operations—and how to avoid them

• Aligning data governance, documentation, and decision-making with future scale

• Real-world examples of frameworks that supported successful growth and partnerships

Join industry leaders for a discussion on how flexible leadership can accelerate AI-driven transformation in clinical trials.

• Examine how to move beyond rigid guidelines and instead use them as guardrails to support innovation

• Explore decision-making frameworks for when to build, buy, or bring in external consultants for AI infrastructure

• Discuss the role of transparency and clearly defining end goals before launching transformation initiatives

• Hear lessons learned from early AI and transformation pilots, including what worked, what didn’t, and how teams adapted

• Identify practical strategies to maintain flexibility while still ensuring compliance, quality, and stakeholder trust

Digital innovation in healthcare is a marathon, not a sprint. This session will explore Roche’s multiyear journey toward becoming a digital Regulatory organization and outline its future investment plan. From strategy to execution, attendees will gain insights into how Roche leverages data, technology, and AI to create scalable solutions that deliver real-world impact.

As AI adoption accelerates across pharmaceutical operations, so does its environmental footprint. This session explores how established pharma companies are balancing innovation with sustainability—ensuring that digital transformation doesn’t come at the cost of climate responsibility.

Key Themes:

• Understanding the environmental toll of large-scale AI models in pharma

• Strategies for reducing energy consumption in AI-driven R&D and manufacturing

• Building sustainability metrics into digital transformation initiatives

• Cross-functional approaches to aligning ESG goals with AI deployment

• Real-world examples of pharma companies integrating green practices into AI workflows

When global scale meets start-up speed—everyone wins. This interactive discussion bridges perspectives from large and emerging organizations to uncover where collaboration creates true value.

Key Themes:

• Comparing AI adoption journeys across organization sizes

• Lessons from both sides: enterprise structure vs. start-up agility

• Identifying partnership models that accelerate innovation and reduce redundancy

• Open exchange on shared roadblocks, wins, and future opportunities

A collaborative exercise to turn inspiration into execution. Participants synthesize insights from both days and map out actionable priorities for the year ahead.

Key Themes:

• Rapid recap of key trends and takeaways

• Building a 12-month AI roadmap tailored to your organization

• Peer-to-peer exchange: what’s working, what’s next

• Committing to measurable outcomes before reconvening in 2026

As AI becomes inseparable from clinical decision-making, how do we keep humanity at the core? This closing dialogue brings together clinicians, technologists, and ethicists to define what responsible innovation looks like in practice.

Key Themes:

• Balancing automation with accountability

• The evolving role of clinicians in AI-assisted trials

• Maintaining trust and transparency across digital ecosystems

• Re-centering empathy as a strategic advantage in the AI era