The new agent upgrades the Databricks Assistant, enabling it to help data practitioners complete repetitive tasks and ...

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 ...

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 ...

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

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 designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare settings.

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

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.