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#99: The AI Revolution in Digital Engineering
Manage episode 504031356 series 3521267
Razorleaf Corp.에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Razorleaf Corp. 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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
- Data enrichment for cleaner, more searchable part databases
- The difference between generative AI and specialized solvers — and how they work together
Links & Resources:
- Follow Alex Bruskin on LinkedIn
- Contact Razorleaf: [email protected]
- 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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Technical Podcast Support by Jon Keur at Wayfare Recording Co.
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