Exploring Massive Engineering Data Analytics

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.

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