On-demand webinar
Scaling digital innovation in drug discovery and clinical trials
Video available 24/7
Online registration required
Move from pilot to production with data and AI in biomedicine
Innovation in life sciences often stalls after a promising pilot. If you’re overseeing R&D and operational transformation, you know this struggle well.
So how to turn prototypes into production-ready solutions? Hear from Baris Ersezer, Technical Program Director, Data & AI, at Novartis and our own expert, Biotechnology Consulting Manager, Damian Adamczyk and get real-world strategies for successfully leveraging new tech across biomedical processes – like drug discovery and clinical trials.
Watch the webinar and gain the knowledge to drive transformation in your own organization.
Webinar agenda
1
Beyond the "proof-of-concept trap"
- The problem: Why promising prototypes fail to leave the lab
- The solution: A direct framework for turning prototypes into scalable, production-ready solutions
2
Strategies for integration
- Successfully embedding data-driven AI solutions into biomedical processes like drug discovery and clinical trials
3
Maximizing ROI
- Applying current solutions in new contexts to extend R&D pipeline impact
4
Overcoming the key barriers to scaling
- Critical steps for navigating regulatory and operational hurdles
- Proven tactics for securing stakeholder buy-in and managing change
- Leveraging cross-functional teams and external partners to accelerate implementation
5
Real-world application
- Case study exclusive: Insights from collaborations on moving beyond experimentation
- Tangible impact: How fully deployed solutions drive outcomes in pipeline efficiency and trial optimization
6
Q&A session
In this webinar, you’ll learn how to:
Turn prototypes into production-ready solutions
Apply AI in clinical operations and research
Avoid common mistakes that prevent innovation from scaling
Handle pushback and regulatory hurdles
Repurpose tools you already have
Understand when to bring in outside help and how to manage it
