Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

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 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 ...

Companies become so good at generating perfect fake customers that they stop talking to real ones. The models work great until they meet actual humans.

In addition to building the data extractors, which is the easy part of the ELT equation, Daasity also provides the business logic required to understand the data model for both source and target ...

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.

Switzerland launched an open-source model called Apertus on Monday as an alternative to proprietary models like OpenAI’s ChatGPT or Anthropic’s Claude, reports SWI as spotted by Engadget. The model’s ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

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