Until now, the lab operator’s relationship to their data was usually prescribed by preset LIMS dashboards and reports, and the data itself was not always accessible, at least not without a skillful data modeling exercise. That’s changing as artificial intelligence (AI) and machine learning (ML) move into the lab.
Using data science algorithms, AI and ML rapidly process all of that structured and unstructured LIMS data, integrating it with external enterprise data and serving lab managers and analysts with valuable insights and timely, meaningful recommendations.
Download this whitepaper to learn how advanced analytics can:
- Increase your scope of research and/or testing
- Improve speed to market
- Enhance lab profitability
