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 ...

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from real-world sources. While concrete numbers are hard ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data mesh is a hot topic in the data and ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Autodesk has acquired Datum360 in a move it says will allow more connections of data across its authoring tools, such as Revit, and other construction project management tools. Terms of the deal were ...

Everybody wants to be data-driven–that much is clear. But that desire doesn’t necessarily translate into real business results, especially in competitive industries like ecommerce. Data quality has ...

Actionable product demand and usage feedback must find its way back to portfolio managers for continuous portfolio optimization to occur. Morningstar provides a framework and measurement for matching ...