Description

In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott sit down with AI expert Alex Bruskin to cut through the hype and explore the real impact of artificial intelligence on the world of digital engineering. From the history of AI and its convergence of compute power, algorithms, and data — to practical, high-value use cases in PLM, CAD, MBSE, and manufacturing — Alex explains where AI truly adds value, where human oversight is essential, and how organizations can prepare their data for successful adoption.

Whether you’re curious about AI-driven data enrichment, smarter migration projects, or bridging the gap between engineering documentation and manufacturing, this conversation is packed with insights and actionable examples.

What You’ll Learn in This Episode:

• Why AI’s current capabilities are less about “intelligence” and more about prediction
  
  
• How the “language of engineering” can benefit from large language models
  
  
• Why training data quality is critical — and how to keep a human in the loop
  
  
• Real-world AI use cases in digital engineering:
  
  
  • Data enrichment for cleaner, more searchable part databases
    
    
  • Accelerating and improving PLM/CAD data migrations
    
    
  • Automating PDF-to-digital conversions for technical publications
    
    
• The difference between generative AI and specialized solvers — and how they work together
  
  

Links & Resources:

• Follow Alex Bruskin on LinkedIn
  
  
• Contact Razorleaf: podcast@razorleaf.com
  
  
• Watch this episode on YouTube
  
  
• Subscribe to Stay Sharp in Digital Engineering for more conversations on digital transformation, PLM, and manufacturing innovation
  
  

Enjoyed this episode? Follow Razorleaf’s Stay Sharp in Digital Engineering, rate the show in your favorite podcast app, and share it with a colleague who’s exploring AI in engineering.

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