Speed, Quality, Cost: Using AI to Finally Get All Three in Construction

The construction industry is currently at a significant juncture where the industry’s traditional practices begin to converge with new cutting-edge technologies like Artificial Intelligence. AI helps teams to uncover insights, streamline operations, and improve decision-making, making it an emerging powerful partner rather than a tool.

Trevor Schick is the CEO of Slate Technologies, a company revolutionizing the construction industry through AI-driven decision support tools. He brings a unique perspective to the industry’s technological space, having a career leading global supply chains at major high-tech companies like Apple, Hewlett-Packard, and Motorola. About a decade ago, he started applying lessons about materials and logistics from high-tech industries to the world of construction. He became the CEO of Slate Technologies after initially working with them as a customer. He joined us today to talk about how AI is redefining the possibilities in construction by enhancing safety, minimizing delays, and unlocking the importance of hidden data.

HIGHLIGHTS

[01:29] Trevor’s background in the construction industry. 

[03:13] Cultural differences at HP, Motorola, and Apple. 

[07:23] The potential of off-site construction and supply chain innovation. 

[09:11] AI’s role in safety, progress reporting, and linking data in construction. 

[13:18] The importance of data quality for AI implementation. 

[17:31] Automatic insights and solutions.

[18:56] Perona-based AI tools. 

[22:11] The benefits of adapting to user perspectives. 

[25:50] AI’s impact on pre-construction and scheduling. 

[29:22] The importance of AI in centralizing data, reducing time spent, and project estimations.

 

KEY TAKEAWAYS

1. Explore off-site construction and speed up project timelines.

2. Use AI-powered cameras to proactively identify on-site safety risks. 

3. Provide clean, structured data to ensure your AI tools deliver accurate insights.

4. Capture and apply lessons learned from past projects using AI. 

5. Use human feedback to train and improve AI’s problem-solving over time. 

6. Encourage your team to see AI as a collaborative partner, not a tool. 

 

RESOURCES

 

Connect with Trevor Schick

LinkedIn – linkedin.com/in/trevor-schick-97620b9/ 

Wensite - slate.ai 

YouTube - youtube.com/@SlateTechnologies 

Restaurant Recommendation - jeffreysofaustin.com/ 

 

 

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