Learn about the development towards our vision for universal data interoperability.
Articles
Symbolic Generative AI
We claim that symbolic, rule-based AIs - millions of which have already been deployed...
Aftershock: Pattern Channeling
Aftershock: Pattern Channeling Who will dominate our future economy and how they will do...
AI: The Economic Engine of the Future
AI: The Economic Engine of the Future AI is often described as the economic engine of...
UBER Case Study
Uber Data ConsolidationUber's incredible growth was partially enabled by an organic data...
Dear Mr. President: A Note on AI Policy
Dear Mr. President: A Note on AI Policy Dear Mr. President, AI is often described...
Haven’s Failure: A More Helpful Perspective
Haven's Failure: A More Helpful Perspective The recent news reports that...
New Capabilities for New Challenges
New Capabilities for New Challenges Abstract Conexus is interested in working...
Data Pandemic
How the COVID-19 Crisis Exposed a Critical Weakness in the Nation’s Data Handling By...
Regulations and Compliance in Finance and Beyond
Regulations and Compliance in Finance and Beyond The nexus of regulation and data...
ETL Re-thought for the Cloud
ETL Re-thought for the Cloud Conexus CQL is a revolutionary data transformation platform...
Videos
Data Exchange Podcast (Episode 67): Ryan Wisnesky – Co-Founder of Conexus
Ben Lorica speaks with Ryan Wisnesky, CTO and co-founder of Conexus, a startup that uses techniques from mathematics and incorporates
The Future of AI & The Data Pandemic
We “follow the data.” We’re “data-driven.” We’re also overwhelmed by a data deluge to the point that we’re having trouble making sense of mountains of information.
Conexus CEO Eric Daimler Speaks to The CORE Club
Eric Daimler speaks with Tracy Byrnes, UBS Financial Advisor regarding...
Technical Papers
Relational to RDF Data Migration by Query Co-Evaluation
Ryan Wisnesky, Daniel Filonik In this paper we define a new algorithm to convert an input relational database to an...
Using CQL to compose a data warehouse with reduced costs and risks
CQL Demo One way to answer business questions is to gather relevant data, integrate it according to business...
Fast Left-Kan Extensions Using The Chase
Abstract In this paper we show how to compute left-Kan extensions of set-valued functors with the venerable chase...
Informal Data Transformation Considered Harmful
Abstract We take a popular position that AI systems are limited more by the integrity of the data they are learning...
Financial Reporting Data Warehousing with CQL
Abstract Using a simplified financial reporting example, we examine how traditional data warehouses are put together....
Compositional Models for Power Systems
Abstract We consider the issue of multiple overlapping data models in the context of modern power grids. We present a...