From legacy to leverage: A smarter path to AI in the chemical sector
The biggest misconception is that you need immaculate data and a fully modernised tech stack before you can do anything useful. That's simply not true.
Credit: STFC
The STFC Hartree Centre Director, Kate Royse, explains why imperfect data shouldn’t stall innovation—and how staged adoption, strong governance and human expertise unlock measurable value from AI.
Register for FREE to keep reading
Join 12,000+ scientists, engineers, and IT professionals driving innovation through informatics, HPC, and simulation with:
- Insights into HPC, AI, lab informatics & data
- Curated content for life sciences, engineering & academia
- Access to Breakthroughs: real-world computing success
- Free reports & panels, including the Lab Informatics Guide
- White Papers & software updates for smarter research
Sign up now
Already a member? Log in here
Your data is protected under our privacy policy.