To wrap up our PPIM 2025 series of Pipeline Things, we are joined by Cliff Maier to discuss his paper on machine learning and how to use it to manage SCC threats. It poses the question, are the machines ready to take over? Tune in to this episode to catch the answer and learn about how machine learning is being used to improve SCC susceptibility models and help advance SCC threat management. Highlights: Top 10 machine learning predictors for SCC (specific to the study) How can machine learning help us find the location of anomalies? Parameters that are better correlated to where to find cracks What further research should be done to improve this? Connect:    Rhett Dotson    Christopher De Leon    D2 Integrity    Cliff Maier Be sure to subscribe and leave a comment or rating!    Pipeline Things is presented by D2 Integrity and produced by FORME Marketing.     D2 Integrity (D2I) is providing this podcast as an educational resource, but it is neither a legal interpretation nor a statement of D2I policy. Reference to any specific product or entity does not constitute an endorsement or recommendation by D2 Integrity. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent. Views and opinions expressed by D2I employees are those of the employees and do not necessarily reflect the view of D2I or any of its officials. If you have any questions about this disclaimer, please contact Sarah Etier at sarah.etier@forme-mktg.com.       Copyright 2025 © D2 Integrity