Why most AI initiatives in bioprocessing fail
and what actually works
Jan 29, 2026
11 AM EST/ 4 PM GMT /5 PM CET
AI is the new buzzword in bioprocessing. But in reality most teams struggle to turn AI into something useful. Too often, AI is layered on top of fragmented data, missing context, and workflows that were never designed to support biological variability.
In this webinar, we’ll explore why most AI initiatives stall before delivering value and what successful bioprocess teams do differently. Using real-world examples, we’ll show how strong data foundations, and incremental implementation turn AI from a buzzword into a practical tool producing insights teams can actually trust and act on.
Speaker

Ori Zakin
Co-Founder and CEO, BioRaptor
You’ll learn:
- Why AI in bioprocessing fails before models ever matter
- How missing context and siloed data undermine AI-driven decisions
- The risks of big-bang AI and digital transformation projects
- What practical, reliable AI looks like in real bioprocess environments
- How to build systems that teams actually trust, use, and improve over time