EPISODE · Apr 24, 2026 · 11 MIN
The 5 best FAIR data secrets to empower process engineers
from The Industry Forward Podcast · host Siemens Digital Industries Software
Process industry data is only useful if it is findable, accessible, interoperable and reusable. This concept, often truncated to FAIR data, represents how information can feed digital twins, simulations and AI systems that herald the next industrial revolution. In today’s episode of the Industry Forward podcast, host John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software (Siemens) will speak with William (Bill) Hahn, Director of Solutions Consulting at Siemens. In this discussion, they highlight five key takeaways about FAIR data for engineers modernizing industrial applications. In this podcast you will learn: 01:04 – The concept of FAIR data 03:15 – How FAIR data links to platforms, digital twins and simulations 05:44 – The role of FAIR data to produce AI tools for the process industry Connect with John on LinkedIn. Connect with Bill on LinkedIn.
What this episode covers
Process industry data is only useful if it is findable, accessible, interoperable and reusable. This concept, often truncated to FAIR data, represents how information can feed digital twins, simulations and AI systems that herald the next industrial revolution. In today’s episode of the Industry Forward podcast, host John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software (Siemens) will speak with William (Bill) Hahn, Director of Solutions Consulting at Siemens. In this discussion, they highlight five key takeaways about FAIR data for engineers modernizing industrial applications. In this podcast you will learn: 01:04 – The concept of FAIR data 03:15 – How FAIR data links to platforms, digital twins and simulations 05:44 – The role of FAIR data to produce AI tools for the process industry Connect with John on LinkedIn. Connect with Bill on LinkedIn.
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The 5 best FAIR data secrets to empower process engineers
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