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 ...

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.

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

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 ...

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 ...

We can help identify a closed-loop process that optimizes your investment portfolio. Unlock advisor-grade portfolio management reports with Morningstar.

This can happen even when the sparse data might be more predictive. Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a ...