Skip to main content

Contemporary Applications of Big Data in Society

 One way Big Data is used in society is through the government, the US government use ID photos, fingerprints, phone activity etc which they store using big data. The US immigration and Customs Enforcement has used facial recognition technology to go through drivers licence photo databases to spot any illegal immigrants with the hope of finding them and having them deported which is put through large amounts of data to track down on the people they’re searching for. 

Big data is used for things such as video games  one way is to improve them so that more people can enjoy them ‘Activision Blizzard’ uses big data one example is the business uses machine learning to detect power boosting to track key indicators for increasing quality of game time. 

The rise of social media and networks meant that the way that people socialise has drastically changed because of this relationships have also changed and developed into the digital age some examples of this are

‘Tinder’ uses an algorithm which boosts the probability of having a match. Originally they used an attractiveness ranking system but now they have changed it to show people who are active users, people near each other and also people who are traditionally each others ‘types’ based on previous people they’ve swiped right on before. 

‘Facebook’ uses this section on their app called “people you may know” which is based on someone’s friend list. It shows people who your friends are friends with but also shows people who worked at the same place you worked or the same school you attended, places they’ve been tagged in that you’ve also been etc which helps people reconnect with people they've lost contact with over time such as someone you went to school with. 

https://builtin.com/data-science/data-science-applications-examples


Comments

Popular posts from this blog

Definition of big data

Big data is large and varied collections of data. That cannot be managed by traditional systems. It’s studied to reveal patterns, trends and associations. It was created by Roger Douglas in 2005. The data is so large and complex in its volume, velocity and variety that normal data management/storage systems can’t store, process or analyse due to the mass size of the dataset.

Limitations of Predictive Analysis

One of the limitations is data quality, the predictive models rely entirely on large and accurate datasets to make realistic predictions. So if the data is inaccurate, biased or incomplete then the model will be flawed.  The next is overfitting which happens when a model is trained on a particular dataset and becomes too complicated makes it difficult to generalise new data. Because of this it can make inaccurate predictions and poor performance.  Next is changing conditions, predictive analytics models are made to predict future outcomes based on previous data. However, the future is very uncertain and because of this the conditions can change quickly so it can be very difficult to predict accurately.         And lastly ethical concerns can make it difficult to predict analysis because of ethical concerns such as bias or privacy. Predictive models can have an already existing bias and discrimination. Also predictive analytics can have privacy concerns...

Characteristics of Big Data Analysis ps

 It’s often described using five main characteristics these being: Volume, value, variety, velocity and lastly veracity.  Volume being the size of the data that is needed to be analysed, value is from the eye of the business which leads to better operations, decisions, customer satisfaction and also being able to see what the business needs to make it succeed, variety which is the range of the data types, velocity is the rate at which companies get, store and manage their data such as on social media if someone asks a question how long it takes for the company to reply to this, and finally veracity which shows the actual accuracy behind the data and the information.   https://www.teradata.com/glossary/what-are-the-5-v-s-of-big-data#:~:text=Big%20data%20is%20a%20collection,variety%2C%20velocity%2C%20and%20veracity.