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

On today’s episode, we’re joined by Tom Phillips, Director, Simulation Portfolio Development of Siemens Digital Industries Software, who sheds light on the advanced applications and benefits of digital twins in the industrial world. His insights are focused on the practical aspects and the future of digital twin technology in enhancing industrial operations.
Key Takeaways:

(03:40) How digital twins enhance product and process understanding.

(05:14) The significance of digital twins in predictive maintenance and condition monitoring.

(08:50) The role of digital twins in improving manufacturing and operational efficiency.

(14:32) The role of simulation and analytics in refining the capabilities of digital twins.

(19:46) Advice for beginners on starting with digital twins in operations, focusing on design phase and predictive modelling.

(21:14) Evolving from basic digital twin creation to automating models for enhanced usability across applications.

(22:35) The concept of reduced order models and executable digital twins for real-time applications in monitoring and maintenance.


Tom Phillips - https://www.linkedin.com/in/tomjphillips/
Siemens Digital Industries Software -https://www.linkedin.com/company/siemenssoftware/
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, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#AI #Automation #IntelligentAutomation #Simcenter #SimulationDriven-Design #MachineLearning #Autonomous  #IntelligentAutomation #digitaltwin