Intuitively, an ontology is the combination of a data model and a set of logical rules about the data. Sophisticated ontologies whose rules generate data are called “generative symbolic AI”.

Validating LLM-generated SQL code | Texas Data Day 2025 Organizations using LLMs (Large Language Models) to generate SQL code face a significant hurdle: ensuring the generated code is reliable and safe to execute...

We claim that symbolic, rule-based AIs – millions of which have already been deployed since the phrase ‘expert system’ became popular in the 1980s – can and should be repurposed as generative AIs

Who will dominate our future economy and how they will do it. Much of the beauty of Future Shock was in the window it provided to transformative social change.

AI is often described as the economic engine of the future. But to realize that growth, we must think beyond AI to the whole system of data and the rules and context surrounding it...

Uber’s incredible growth was partially enabled by an organic data infrastructure strategy, where each city was treated like its own company free to decide how to built their own technology stack...

Dear Mr. President, AI is often described as the economic engine of the future. But to realize that growth, we must think

The recent news reports that Haven, the joint healthcare venture between Amazon, JP Morgan, and Berkshire Hathaway, was quietly being shut down, came as no great surprise to those of us who work in AI

Conexus is interested in working with selected health care researchers that want to apply our expertise in Applied Category Theory to high-impact projects related to the COVID-19 Public Health Emergency. This brief note is to present how Conexus might assist enterprises in their responses.

While the COVID-19 pandemic itself may be unprecedented, America’s poor national response to it shares some of the same root causes as previous public healthcare failures, including the disappointing initial rollout of the Affordable Care Act (ACA).

Regulatory compliance obligations place enormous demand on the financial industry’s use of its data. Information requests can span multiple operating units and follow customer relationships touching data in multiple business lines and jurisdictions.

ETL Re-thought for the Cloud