News
3h
Tech Xplore on MSN3 questions: The pros and cons of synthetic data in AI
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 ...
Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.
Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.
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 ...
Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.
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.
Data modeling tools create a simple, easy-to-understand diagram of data flow. Explore the best software now.
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 ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results