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AI, Data and the Design-Build Owner: A Conversation with ARKANCE

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Manage episode 516781124 series 1950830
Content provided by DBIA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DBIA 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://ro.player.fm/legal.

Have thoughts? Text us!

Artificial intelligence is no longer an abstract idea for design-build teams. It’s already changing how projects are delivered, managed and maintained. In this episode of the Design-Build Delivers Podcast, DBIA’s Director of Virtual Design and Construction Brian Skripac is joined by three leaders from ARKANCEJason Kunkel, Senior Practice Manager; Nick Miller, Director of BIM Services; and Justin Friedman, Practice Manager | Facilities Management — to explore how data and AI are reshaping the Owner experience.

Together, they unpack how design-build teams are using data to:

  • Turn information into intelligence that drives better decisions.
  • Build a culture of trust and governance around data ownership.
  • Identify “quick wins” to make AI adoption practical and scalable.
  • Shift focus from building smarter to owning smarter.

It’s a conversation about the real-world impact of data — how it’s captured, shared and leveraged across every phase of a project’s lifecycle — and what it means for Owners navigating the next era of delivery.

Resources:

Access all our free design-build resources and learn more about Design-Build Done Right® at dbia.org.
DBIA members are shaping the future, one successful collaboration at a time.

  continue reading

Capitole

1. Introduction (00:00:00)

2. First Practical Steps: Data and Culture (00:01:52)

3. Assessing the Data Landscape (00:06:00)

4. What Owners Actually Need from AI (00:08:48)

5. Data Governance, Privacy and IP Protection (00:11:58)

6. Defining Post-Occupancy Data Goals (00:14:44)

7. The AI Journey: From Reactive to Proactive Ops (00:22:07)

8. Data Requirements and Payment Milestones (00:26:05)

9. Barriers to AI Adoption (00:28:05)

10. Hype vs. Reality: Why Narrow AI Wins Today (00:34:35)

11. Avoiding the Shiny Toy Trap (00:37:26)

12. What’s Next: AI Opportunities for Owners (00:40:04)

13. Outro: Where Collaboration Meets Data (00:42:48)

104 episoade

Artwork
iconDistribuie
 
Manage episode 516781124 series 1950830
Content provided by DBIA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DBIA 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://ro.player.fm/legal.

Have thoughts? Text us!

Artificial intelligence is no longer an abstract idea for design-build teams. It’s already changing how projects are delivered, managed and maintained. In this episode of the Design-Build Delivers Podcast, DBIA’s Director of Virtual Design and Construction Brian Skripac is joined by three leaders from ARKANCEJason Kunkel, Senior Practice Manager; Nick Miller, Director of BIM Services; and Justin Friedman, Practice Manager | Facilities Management — to explore how data and AI are reshaping the Owner experience.

Together, they unpack how design-build teams are using data to:

  • Turn information into intelligence that drives better decisions.
  • Build a culture of trust and governance around data ownership.
  • Identify “quick wins” to make AI adoption practical and scalable.
  • Shift focus from building smarter to owning smarter.

It’s a conversation about the real-world impact of data — how it’s captured, shared and leveraged across every phase of a project’s lifecycle — and what it means for Owners navigating the next era of delivery.

Resources:

Access all our free design-build resources and learn more about Design-Build Done Right® at dbia.org.
DBIA members are shaping the future, one successful collaboration at a time.

  continue reading

Capitole

1. Introduction (00:00:00)

2. First Practical Steps: Data and Culture (00:01:52)

3. Assessing the Data Landscape (00:06:00)

4. What Owners Actually Need from AI (00:08:48)

5. Data Governance, Privacy and IP Protection (00:11:58)

6. Defining Post-Occupancy Data Goals (00:14:44)

7. The AI Journey: From Reactive to Proactive Ops (00:22:07)

8. Data Requirements and Payment Milestones (00:26:05)

9. Barriers to AI Adoption (00:28:05)

10. Hype vs. Reality: Why Narrow AI Wins Today (00:34:35)

11. Avoiding the Shiny Toy Trap (00:37:26)

12. What’s Next: AI Opportunities for Owners (00:40:04)

13. Outro: Where Collaboration Meets Data (00:42:48)

104 episoade

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