Data Collection IT Measurement Risk 
Smart Data Collective
MARCH 27, 2020
Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Teens and young adults are less experienced drivers and, therefore, at risk for more car accidents. Demographics.
CIO Business Intelligence
OCTOBER 24, 2023
But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business. Data breaches and invasive data collection AI systems can be exploited to gain unauthorized access to private data.
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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.
IBM Big Data Hub
AUGUST 3, 2023
Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. Software downtime is a huge organizational risk because it decreases customer satisfaction and potentially violates a service-level agreement with end users.
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.
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. “We
O'Reilly on Data
NOVEMBER 13, 2018
Fortunately, a recent survey paper from Stanford— A Critical Review of Fair Machine Learning —simplifies these criteria and groups them into the following types of measures: Anti-classification means the omission of protected attributes and their proxies from the model or classifier. Continue reading Managing risk in machine learning.
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