A fuzzy entity relationship diagram (ERD) data model for managing information about sets of related data files was converted to an object design. To do this, we developed new methods incorporating ...

Data modeling skills include conceptual and analytical thinking, data domain knowledge, data modeling languages and tools, such as SQL, ERD, or UML, and data governance and documentation practices.

For patients with multiple myeloma, the use of novel agents in first-line triplet and quadruplet induction regimens -- with or without high-dose therapy and autologous stem cell transplant (ASCT) -- ...

About A complete database and data warehouse design for an e-commerce business model, including ERD, relational schema, SQL implementation, and star schema.

BRMW is a free open source entity-relationship database modeling tool. We're working to make learning database modeling simple and accessible for everyone ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

The product-aligned operating model has gained traction over the past few years as organizations seek more agile and customer ...

Organizations that treat data integration as a strategic business imperative, not just a technical challenge, will be the brands that win.

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.