Data Collection Measurement Risk Software 
O'Reilly on Data
NOVEMBER 13, 2018
The main bottleneck here is speed: many researchers are actively investigating hardware and software tools that can speed up model inference (and perhaps even model building) on encrypted data. Classification parity means that one or more of the standard performance measures (e.g.,
IBM Big Data Hub
AUGUST 11, 2023
Implementing such solutions could be the key to a new era of productivity for your organization, but implementing new and expansive IT software can be intimidating. They also support the measurement of overall equipment effectiveness (OEE) , a significant metric used to gauge manufacturing efficiency.
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IBM Big Data Hub
AUGUST 3, 2023
This means companies especially need their software applications to perform optimally because they are often a source of competitive advantage. Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. What is application health monitoring?
FineReport
FEBRUARY 25, 2020
Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.
O'Reilly on Data
OCTOBER 18, 2022
Data can be wrong. When we use AI in security applications, the risks become even more direct. As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. Predictions can be wrong. System designs can be wrong.
CIO Business Intelligence
AUGUST 1, 2023
Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.
FineReport
FEBRUARY 25, 2020
Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.
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