Stop focusing on what happened in your lab and start predicting what’s next. In this episode, expert Ken Alves reveals how to shift from reactive firefighting to "predictive control."

While LIMS tracks the past, Ken explains how an intelligence layer—powered by AI and digital twins—can anticipate instrument failures and design compliance directly into your workflows. You’ll learn why these aren't just buzzwords but essential tools for reducing reruns and preventing audit findings. If you’re looking to transform your data into a strategic advantage, this conversation is your roadmap for 2026.

FAIR Data episode: https://open.spotify.com/episode/0UZKyXGjb2fUjCAAZVndNB

White Paper: Life Science Analytics Tools: Open Source or Commercial

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Chapters:

00:00 Introduction to Predictive Analytics in Labs

01:37 Ken's Journey into Digital Transformation

03:22 The Importance of Predictive Analytics

06:19 Understanding Digital Twins in the Lab

07:49 Integrating Predictive Analytics with LIMS

09:10 Quality vs. Speed in Predictive Analytics

10:41 Choosing the Right Predictive Analytics Software

12:49 Key Questions for Evaluating Predictive Tools

13:38 When to Prioritize Predictive Analytics

15:33 Advice for Implementing Predictive Analytics

#CSolsPodcast #PredictiveAnalytics #LaboratoryInformatics #DigitalTwins #AI #DataIntegration #Compliance #LabManagement #DataArchitecture #LIMS