Engineer Innovation: Conversations about Industry 4.0, Engineering AI/ML, Digital Twin, & Computer Aided Engineering.

Exploring Massive Engineering Data Analytics


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On today’s episode, we’re joined by Ian McGann. Ian is the Director of Innovation for TSVT at Siemens Digital Industries Software. We talk about:

  • What massive engineering data analytics is.
  • How Ian collects the data he uses and the work involved in processing it.
  • Spotting outliers in data — does it have to be manual?
  • How machine learning is taking individual experience and making it more transferable.
  • The payoff of massive engineering data analytics.
  • Understanding executable digital twins, and some use cases for them.
  • How mature is massive engineering data analytics? What steps can companies take to get started?
  • What are Bayesian networks?
  • What Siemens is doing to help people on the journey to massive engineering data analytics.

  • This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

    If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 

    For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.

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    Engineer Innovation: Conversations about Industry 4.0, Engineering AI/ML, Digital Twin, & Computer Aided Engineering.By Siemens Digital Industries Software

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