Summary

In this episode, Dale and Greg discuss the ownership and value of data in the context of AI, particularly in the construction sector. They explore the OpenAI lawsuit and the challenges of defining data ownership. They also discuss the role of data in contract administration and the potential benefits of sharing commercial data. The conversation delves into the difference between data and information, as well as the key roles in the data field for AI, such as data engineers, data analysts, and business intelligence analysts. The episode concludes with a call for perspective and engagement from the audience.

Takeaways

Chapters

00:00 Introduction and Background

01:29 Data Ownership and OpenAI Lawsuit

03:13 Ownership of Education and Intellectual Property

04:30 Confidential Information and IP Ownership

06:31 Ownership of AI Algorithms and Outputs

08:01 Data Sharing in the Construction Sector

10:33 Value and Risks of Sharing Commercial Data

11:39 Using Data to Improve Contract Administration

12:29 Using Data to Optimize Contract Terms

17:23 Difference Between Data and Information

19:13 Roles in the Data Field for AI

29:44 Importance of Data Engineers and Business Intelligence Analysts

33:38 The Role of Systems Engineers and Architects

42:49 The Need for Translators in Data Roles

45:04 Final Thoughts on Data and AI