About this episode

This episode discusses the complexities in the construction industry and how AI and knowledge graphs can help mitigate risks and improve decision-making.

The construction industry is facing an unprecedented wave of complexity. Mega-projects, data center expansions, labor shortages, and increasingly interconnected project teams are creating more risk and information overload than ever before. In this episode, host Jeff Sample sits down with the team behind Primepoint AI to discuss how artificial intelligence, knowledge graphs, and connected project data can help construction teams navigate complexity, reduce risk, and make better decisions faster. Lubomir Bourdev is the Co-Founder and CEO of Primepoint . A computer vision pioneer, he previously worked at Adobe, where he helped develop some of the earliest commercial computer vision applications. Kamran Azarbal serves as VP of Strategy at Primepoint. With a background in Civil Engineering from UC Berkeley and years of experience working for leading general contractors including Turner Construction and Webcor, Kamran brings deep operational knowledge of large-scale commercial construction projects. Key Takeaways Why construction may be one of the most challenging industries for AI to solve. How knowledge graphs connect drawings, RFIs, submittals, schedules, and specifications into a…

People in this episode

Host: Jeff Sample

Guest: Lubomir Bordev

Topics covered

• construction industry
• artificial intelligence
• project management
• risk reduction
• knowledge graphs
• productivity
• institutional knowledge

Keywords

• construction
• AI
• knowledge graphs
• project risk
• productivity
• institutional knowledge
• complexity
• data management

Mentioned in this episode

Organizations: Primepoint AI, Adobe, Turner Construction, Webcor

Places: UC Berkeley

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