One of the challenges with modern machine learning systems is that they are very heavily dependent on large quantities of data to make them work well. This is especially the case with deep neural nets ...
The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we ...
Gartner and Forrester agree that to achieve agile, scalable data integration, the value derived from a data fabric architecture is worthy of investigation. According to Forrester Analyst Noel Yuhanna ...
For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...
The next challenge in data management is accessing data resources that are dispersed across a hybrid computing environment. Companies have invested in master data management solutions, breaking down ...
Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...
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