A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

When dealing with subjective data, it is important to have an overlap of training data examples that can help check reliability, and it is equally important to ensure consistency in the labeling ...

LlamaIndex, a startup creating a framework that allows users to add personal data to large language models, is attracting VC backing.

Data management software provider Asset Control is looking to add additional model configuration flexibility to its Ops360 data workflow platform, which was launched at the beginning of March. Mark ...

Conversational data agents in Microsoft’s big data platform bring enterprise data and insights into AI-powered business processes.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

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.

This paper presents a general model to assess the impact of data and process quality upon the outputs of multi-user information-decision systems. The data flow/data processing quality control model is ...