Description

Summary

In this episode, Nick Caravella (⁠Avicado⁠) is joined by Justin Seymour (Avicado) and Cosmin Ticu (Kahua) to discuss the role of AI in construction and operations.

Throughout the conversation, they:

• explore the different terms and concepts related to AI, such as descriptive analytics, predictive analytics, machine learning, and generative AI.
• emphasize the importance of data ownership and the need for organizations to centralize and digitize their data.
• discuss the challenges and concerns around AI, including job displacement and the need for transparency in AI models.

The episode concludes with practical steps for organizations to become AI-ready, including assessing their current analytics capabilities and starting with business intelligence.

Takeaways

• AI in construction and operations includes descriptive analytics, predictive analytics, machine learning, and generative AI.
• Data ownership is crucial, and organizations should centralize and digitize their data.
• Challenges and concerns around AI include job displacement and the need for transparency in AI models.
• To become AI-ready, organizations should assess their current analytics capabilities, start with business intelligence, and gradually explore more advanced AI techniques.

Chapters

00:00 Introduction and Excitement around AI in Construction and Operations

03:20 Demystifying AI and Understanding Different Concepts

08:24 Partnerships and Overcoming the Barriers of Bad Data

15:05 Importance of Submittals and RFIs in AI Analysis

18:23 Data Ownership and Collaboration in the Construction Industry

25:02 Integrating Data and Establishing Common Ground

32:01 AI Adoption and Meeting People Where They're At

38:00 Becoming AI-Ready: Assessing Analytics Capabilities

44:09 Conclusion and One Thing to Do to Become Wired to Build