AI Example: Commercial Real Estate

Application Brief: The Primacy of Dataset Over Program in Wealth Generation and Competitive Differentiation

Executive Summary

In an era where AI can write code, the focus for competitive advantage has shifted from the capabilities of an application to the value of the dataset it can leverage. The program is transient; it is the dataset that has enduring value. In this paradigm, having access to a privileged dataset, properly labeled for AI interpretation, enables you to provide actionable insights to customers in a matter of minutes.

The Dataset Advantage: A Commercial Real Estate Example

To illustrate this principle, consider the commercial property located at 835 Coleman Blvd, Mt. Pleasant, SC, USA. Imagine compiling a comprehensive dataset that includes contracts, lease agreements of each tenant, maintenance records, invoices for every contractor/subcontractor, and other relevant data. This dataset becomes a privileged asset that offers unprecedented insights into the property’s operational, financial, and contractual landscape.

The AI-Driven Process

Once you’ve amassed this privileged dataset, the next step is to feed it to an AI system. The starting point is almost always the same: “Do you see any intriguing patterns in all of this data?” From there, you let the AI guide you, identifying inefficiencies, spotting trends, or flagging anomalies that may require attention.

Efficiency in the Buying Process

When it comes to the crucial stage of the buying process that focuses on details, AI significantly reduces the time and effort required to answer queries from the potential buyer. Information that would typically take hours or even days to compile can be provided in seconds. For those willing to take a bold step, giving potential buyers direct access to the AI assistant allows them to get answers to their questions around the clock.


In the present landscape, the long-term sustainable advantage no longer lies in the application but in the dataset. Those who can assemble, label, and leverage privileged datasets effectively will not only set themselves apart but also revolutionize the way decisions are made in their respective industries.

Author: John Rector

John Rector, a former IBM executive and co-founder of e2open, has an impressive portfolio of leadership roles across a range of companies and industries. In the realm of digital marketing, he has successfully led Social Media Target, ensuring its competitiveness in the ever-evolving digital landscape. He has also served operationally at Rainbow Packaging, focusing on the delivery of farm-fresh produce. John's creativity and vision for web technologies shine through at Bodaro and Palm ❤️, the latter being a graphic design studio founded in June 2023. He has also ventured into the education sector with Nextyrn, a tutoring startup that leverages AI for personalized learning experiences. His entrepreneurial spirit has also seen the founding of Potyn, an innovative project that uses AI to create bespoke art. The newest additions to his extensive portfolio include Nozeus, Infinia, Blacc Ink, and Maibly, further expanding his influence across various industries.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this: