What is Stream Processing? Stream processing is the processing of event data in real time or near real time. The goal is to continuously intake inputs from data (or “event”) streams and immediately process or transform the data into output streams. The input is...
Data quality is the basis of smooth operations and reliable outcomes of analytical algorithms, AI, and machine learning models. Traditionally, data quality monitoring is focused more on maintaining data quality when data is at rest than on ensuring that data is of...
Get your complimentary copy of the Gartner 2022 Hype Cycle for Data Management here. With the data game shifting constantly, maintaining the current load while looking ahead has become both more difficult and more necessary. The amount of resources required simply to...
Exchanging data in healthcare systems has historically required the generation, transmission, and processing of unique documents for every set of data. Not only is this process time-consuming, but the transmitted data sets also often fail to provide needed additional...
Transcription: Meagan Cunninghan (Host): Hello everyone you’re listening to future chain your source for thought leadership on new technologies in supply chain management. I’m your host Meagan cunningham. Our future chain team has worked with AI, ML, NLP,...
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