Autolomous CEO Alexander Seyf sat down with Genetic Engineering & Biotechnology News to talk about one of the biggest challenges facing the cell and gene therapy industry today and why the way we manage data could be the difference between accelerating science or stalling it.

Here are the key highlights from Alexander’s perspective:

Poor data management is a critical, yet overlooked problem – too much critical knowledge remains locked in paper records, spreadsheets, and isolated systems
📄 Start digitizing from day one – waiting until your science is mature before investing in digital infrastructure is a costly mistake.
🔄 Share learnings, not just successes – the industry must get better at publishing failures, which hold just as many lessons as breakthroughs
🤖 AI is only as good as your data – without a strong digital foundation, the potential of AI in healthcare cannot be unlocked
🧠 Knowledge retention matters – when data is digital, institutional knowledge stays with the company even when people move on

Read the full article here.