Description

Welcome to the launch of a special Digital Twin series on Stay Sharp in Digital Engineering! In this foundational episode, co-hosts Juliann and Jonathan break down the ever-confusing world of digital twins, virtual twins, digital models, and more.

They kick things off by asking a core question: What is the real purpose of a digital twin in your organization?

From there, they explore the language, use cases, and business impact of digital twins—from product design to factory optimization—and even get into some fun terminology debates (looking at you, “digital shadow” and “digital surrogate”).

Whether you’re brand new to the topic or deep into digital engineering, this episode helps level-set your understanding for what's to come in the series.

🧩 Topics Covered:

• Why digital twins mean different things to different people
• Key distinctions: Digital Twin vs. Virtual Twin vs. Digital Model
• The concept of "digital shadows" and how real-world data flows back into models
• Digital surrogate and control loops—do you control the product, or does someone else?
• Product vs. Process twins—and how they tie into predictive maintenance and optimization
• The importance of fidelity and purpose in your digital twin strategy
• Looking ahead to elements like simulation data, product data management, IoT, and more

🔗 Key Quote:

“You have to start with the purpose—what are you trying to do with your digital twin? That drives everything.”

📌 Resources & Mentions:

• Razorleaf’s past webinars on digital twin strategy
• Industry examples: aerospace, consumer electronics, factory systems
• Terms like digital shadow, digital surrogate, instance vs. aggregate twins

📣 Join the Conversation:

Have a question or a term you’d like the hosts to unpack in a future episode? Drop a comment or send an email to: podcast@razorleaf.com

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