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How Digital Twins and Agentic AI Are Revolutionizing AEC

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Manage episode 520319840 series 3653295
Content provided by Dell Technologies AI Factory with NVIDIA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dell Technologies AI Factory with NVIDIA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The architecture, engineering, and construction industry is experiencing an AI revolution. In this episode of Reshaping Workflows, host Logan Lawler sits down with Sean Young, who leads AEC and Geospatial go-to-market at NVIDIA, to explore how artificial intelligence is transforming workflows and accelerating productivity across these environments.

Sean breaks down practical AI applications reshaping the industry: from automating tedious manual tasks to deploying agentic AI systems that monitor construction site safety in real-time. The conversation covers how AI inference differs from traditional computational workflows, the explosion of AEC AI startups, and how major ISVs are integrating AI capabilities into their platforms.

Key highlights include digital twins creating physics-based simulations before construction begins, autonomous construction robots trained on synthetic data, and the critical distinction between AI inference workloads that run on Dell Pro Max workstations versus specialized hardware for AI development and training.

Tune in to discover how AI is eliminating manual processes and unlocking new possibilities for architects, engineers, and construction professionals.

You can also watch this and all previous episodes here.

Follow Us

Presented by Dell and NVIDIA
https://www.dell.com/precisionai

https://www.dell.com/dellpromax

https://www.dell.com/nvidia-ai


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

19 episodes

Artwork
iconShare
 
Manage episode 520319840 series 3653295
Content provided by Dell Technologies AI Factory with NVIDIA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dell Technologies AI Factory with NVIDIA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The architecture, engineering, and construction industry is experiencing an AI revolution. In this episode of Reshaping Workflows, host Logan Lawler sits down with Sean Young, who leads AEC and Geospatial go-to-market at NVIDIA, to explore how artificial intelligence is transforming workflows and accelerating productivity across these environments.

Sean breaks down practical AI applications reshaping the industry: from automating tedious manual tasks to deploying agentic AI systems that monitor construction site safety in real-time. The conversation covers how AI inference differs from traditional computational workflows, the explosion of AEC AI startups, and how major ISVs are integrating AI capabilities into their platforms.

Key highlights include digital twins creating physics-based simulations before construction begins, autonomous construction robots trained on synthetic data, and the critical distinction between AI inference workloads that run on Dell Pro Max workstations versus specialized hardware for AI development and training.

Tune in to discover how AI is eliminating manual processes and unlocking new possibilities for architects, engineers, and construction professionals.

You can also watch this and all previous episodes here.

Follow Us

Presented by Dell and NVIDIA
https://www.dell.com/precisionai

https://www.dell.com/dellpromax

https://www.dell.com/nvidia-ai


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

19 episodes

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