Advocates are simultaneously trying to rescue datasets and data programs while also envisioning something greater.

This is why the 4 principles of a data mesh should help make better use of limited resources. The first two principles describe a multipurpose approach to data cleansing.

Do you think you know which species are most vulnerable in an ecosystem? A novel analytical method developed by Italian ...

Today, data sourced from anywhere in your ecosystem needs to flow freely and securely, in real time, via the cloud, so insights can be gleaned using AI from not just some of it, but from all of it.

Using historical data on the lake’s phosphorus levels and plankton population, the model was able to make predictions that matched when the ecosystem reversed back to a healthy equilibrium, as well as ...

As organizations increasingly rely on data-driven decision-making, the need for robust and efficient data infrastructure has become paramount. In industries such as pharmaceutical manufacturing and ...

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage.

This feature article explores Chitnis's journey and vision through eight themes, from multi-cloud strategy to the rise of data mesh, drawing on his insights and the latest research in the field.

In March, over 100 researchers, data scientists, and program collaborators gathered in Bethesda, Maryland, for the 2025 Common Fund Data Ecosystem (CFDE) spring meeting. Hosted by the Integration and ...

In a highly-competitive and volatile LLM ecosystem, Dataiku’s LLM Mesh enables organizations to take a multi-LLM approach, switching out underlying models to power GenAI-driven applications with ...

Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches the point of no return, when animal populations suddenly collapse ...