Fuzzy Data Modeling and Querying in Semantic Web Publication Trend The graph below shows the total number of publications each year in Fuzzy Data Modeling and Querying in Semantic Web.

Researchers at MIT have developed a novel programming system called GenQL that extends SQL to deliver probabilistic AI modeling atop tabular data, giving users a new method for bringing predictive ...

Using a modern code-based modeling layer allows access to field /metric definitions, provides version control, and is consistent and reliable SQL generation regardless of tech knowledge. Next, the BI ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

Sangarsu's mastery in data modeling for relational databases, including MySQL, Oracle, PostgreSQL, SQL Server and SQLite3, transcends the mere management of complex data structures.

CA Technologies announced a new solution intended to help companies manage and integrate their database infrastructure with Microsoft's SQL Azure cloud database environment. The new product, CA ERwin ...

SAN FRANCISCO, April 5, 2024 — Gretel, a leader in synthetic data, released the world’s largest open source Text-to-SQL dataset to unlock new possibilities for AI in the enterprise. Available on ...

BloombergGPT is a 50-billion parameter large language model that was purpose-built from scratch for finance.