Data mesh empowers enterprise AI by enabling secure, flexible access to domain-specific data, which is crucial for unlocking ...

For example, sensor data that comes from a machine ... This is why the 4 principles of a data mesh should help make better use of limited resources. The first two principles describe a ...

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the "why” and “what” and fully understand the role that ...

Data mesh supporters call these curated datasets ... them to accelerate the population of a knowledge graph for a domain. Examples of inference techniques include approaches like semantic ...

Less latency and high scalability are great, but does your enterprise have the skills to handle the increased complexity?

A data mesh decentralizes data ownership by transferring the responsibility from the central IT team to the business units that create and consume data. Sigmoid, a firm with more than a decade of ...

That’s something Microsoft has long bet on with its Purview governance solution, too, for example. Now more than ever, data governance is something enterprises are keenly focused on.

The evolution from fabric to mesh will require some level of ... will need to request it by business domain — for example, “readiness data.” They also will need to focus on data products ...

The global data mesh market is set for explosive growth, with projections indicating a surge to $4.27 billion by 2031. This remarkable expansion, driven by the growing demand for democratization ...