Artificial intelligence thrives on structured and consistently labeled information, yet the real estate industry remains plagued by a patchwork of legacy software and localized recording practices. This "data fragmentation" means that lease abstracts, property attributes, and public records are often incompatible across different platforms. Without a unified way to describe how a building relates to its tenants or financial obligations, AI systems struggle to perform complex tasks at scale.

Richard Reyes (CEO of the industry consortium OSCRE) emphasizes that the sector needs an ontology—a formal map of concepts and their relationships—to integrate AI effectively. This move represents a significant cultural shift for a sector that has historically guarded proprietary data as a competitive advantage. Now, firms are realizing that interconnected data environments are necessary to produce the high-quality outputs required for modern underwriting and property management.

To solve this, OSCRE is developing a "smart data highway" based on an Industry Data Model. Instead of manually mapping "rent" from one system to "base rent" in another, platforms can reference a shared standard. This interoperability reduces the cost of bespoke integrations and allows developers to build applications that work across diverse portfolios without starting from scratch. Ultimately, AI’s greatest impact may be forcing the collaboration needed to align data around common definitions.

Artificial intelligence thrives on structured and consistently labeled information, yet the real estate industry remains plagued by a patchwork of legacy software and localized recording practices. This "data fragmentation" means that lease abstracts, property attributes, and public records are often incompatible across different platforms. Without a unified way to describe how a building relates to its tenants or financial obligations, AI systems struggle to perform complex tasks at scale.

Richard Reyes (CEO of the industry consortium OSCRE) emphasizes that the sector needs an ontology—a formal map of concepts and their relationships—to integrate AI effectively. This move represents a significant cultural shift for a sector that has historically guarded proprietary data as a competitive advantage. Now, firms are realizing that interconnected data environments are necessary to produce the high-quality outputs required for modern underwriting and property management.

To solve this, OSCRE is developing a "smart data highway" based on an Industry Data Model. Instead of manually mapping "rent" from one system to "base rent" in another, platforms can reference a shared standard. This interoperability reduces the cost of bespoke integrations and allows developers to build applications that work across diverse portfolios without starting from scratch. Ultimately, AI’s greatest impact may be forcing the collaboration needed to align data around common definitions.