Security & Privacy
Below are some readings that you may be interested in regarding the topic of security and privacy around big data. As you read through them, think about your own stance on this matter.
Legal Protections
In many jurisdictions around the world there are legal protections for the collection, use, and sharing of data relating to an individual. Whether it is anti-spam laws, do not call lists, or stronger legislation around private identity information, the laws are in a state of flux and change from region to region so please ensure you see what is appropriate for your jurisdiction.
Bias
A recurring concern with the use of big data surfaces in the form of automated processes and a tendency for these automated processes to exhibit biases. A branch of artificial intelligence development called machine learning. Machine learning systems attempt to use large data sets to train the system to identify patterns in input and draw conclusions or take actions based on that identified pattern. These large data sets are referred to as training sets. One very well known application of machine learning and many instances of bias demonstrated in its training and application is in the field of facial recognition software.
A MULTI-FACETED APPROACH TO BIG DATA SECURITY
One of the biggest challenges facing enterprises is the sense of loss of control over data that comes with utilizing cloud storage providers and third-party data management and analytics solutions. The impact of this is significant, as many regulations hold enterprises accountable for the security of data that may not be in their direct control. Big data security requires a multi-faceted approach. Click below for more information on what that encompasses.
Data Collection.
Good New or Bad News?
According to lifehacker.com, depending on who you ask, the term "big data" either represents a threat to personal privacy, or a revolution in data processing and computing.
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The term "big data" has been used so extensively by marketing that many people have come to have negative view of data collection. Many companies will say that they used big data to create better suited products, and sell them to targeted users. However, big data is also collected by many other companies that are using them to solve real-life problems through analysis and insight gathered from the data.