Outsourcing to CDMOs is standard practice in pharma, but it turns stability data into a patchwork of PDFs and scans. Here’s what that costs QA teams, and how to fix it.
A data science perspective on why realistic data and structure matter most in trainings and how AI now speeds up the hardest part: preparation.
Could we make use of LLMs to evaluate rust? And would they perform better than an absolute amateur like me?
This year’s Silicon Saxony Days once again demonstrated why it is worth attending the
event in Dresden.
Pharmaceutical visual inspection is evolving from manual checks to AI-powered analytics, but the key enabler is data maturity. Learn how making inspection data available and structured unlocks advanced quality intelligence.
The semiconductor and high-tech manufacturing industry is at an inflection point. Process complexity is rising. Margins are tighter than ever. And the gap between those who learn fast from their data — and those who don’t — is becoming the defining competitive advantage.
In industrial analytics, artificial intelligence can assist early in the analytical process, at the point where analysts face the question: Which method is actually the right one here?
StatSoft offers direct integration of this approach into Statistica Workspaces through the GPT Connector. Learn how.