Real-World Insights into Data Infrastructure Maturity in Life Sciences
Join our 10-part webinar series as we dive deep into the practical, high-impact ways the PI System is transforming operations across the pharmaceutical, biotech, and medical device industries.
No fluff. Practical experience based on real use cases and real results. As the backbone for data integrity and GXP compliance in over 1000+ validated facilities, the PI System isn't just a tool; it’s the industry standard for operational intelligence in Life Sciences.
What to expect?
For this series, we looked across AVEVA's Life Sciences customers to capture the key questions and topics in Data Infrastructure maturity journey. Each episode will be:
- 15-20 minutes each for quick consumption with high impact
- Presented by industry and product subject matter experts
- Actual project experiences and examples discussed
- Opportunity to schedule "1-on-1 clinics" for individual follow-up sessions
Episode 1
- What “data infrastructure” really means in a life sciences context, and why it often varies across IT, OT, and engineering teams.
- The true cost of technical and model debt, including how outdated data structures, validation requirements, and system complexity create long‑term inefficiencies.
- Why a master plan is essential to avoid fragmented systems, costly retrofits, and stalled AI or analytics initiatives.
- How DataOps principles provide a disciplined approach to reducing technical debt and aligning IT, OT, and ET.
- Real-world insights from customer projects, including the pitfalls of unplanned data growth and the benefits of treating data standards with the same rigor as regulated processes.
- A practical analogy: thinking like a city planner, anticipating growth, ensuring scalability, and building a roadmap that evolves over time.
