How to Avoid the Data Silo Trap
The key goal of a data-centered architecture is data accessibility. Accessibility can impact future business innovation, improve the ability to generate metadata and new data sets, enable search and discovery of the data, and further empower data scientists to deploy said data for machine learning and AI. If captured data is brought to a specific…