In the definition of human, we can say humans are self-aware
social mammals generally possessing the ability to reason, speak, and use
complex tools. Human started to use tools since 2.5 million ago, and the
biggest difference between human and animals is that human could use tools but
animals could not.
Nowadays, we are live in the world of big data. Artificial
intelligence is one of the famous representative for the tool of big data age.
In general, however, statistics field are still using traditional method to calculate
and applied in real world. In this situation, the “StatScale” project may bring us some new changes in tool of
statistics.
I read a new from Science Daily named “Next generation of
statistical tools to be developed for the big data age” last week. In this
news, it shows we will have more than 30 billion devices collecting data streams
by 2020. At this time, traditional statistic is only useful in limited data, it
is not works very well when we have too much data like today’s world. But the “StatScale”
project could solve this problem for us. This is a program funded by the
Engineering and Physical Sciences Research Council and developed from the members
of Lancaster University's Data Science Institute in partnership with colleagues
in the University of Cambridge's Statistical Laboratory. This project already
applied in several industry organizations. For example, Shell UK, BT,
AstraZeneca and the office for National Statistics. After this project
finished, we could easily predict that statistic will have more benefits for modern
economic and society.
Big data age brings a convenient life to us. However, some
questions we still need to ask ourselves. Do I reduce the time of thinking? I
believe this is the biggest problem in big data age. I have to approval that
big data helps us a lot. Predicting weather forecast, analysis of intelligent
behavior and management of economic trend are all need big data and statistics.
But let’s thinking, is there any bad effect from big data? The answer is yes.
Since the big data became popular, more and more people prefer to peeping the
privacy of others. Hillary Clinton email controversy is a famous case in
recently years. I don’t want to judge this case, but it is basic on the big
data and information disclosure problem.
All in all, statistics in big data is the trends of world. I
believe it have more advantages than disadvantages, but people need to know how
to “use” and “manage” big data. At meanwhile, “StatScale” program will also
bring some more good news in statistics field, and the future of statistics field
will be better.
Here is the link of news, thanks for reading!
I thought you used good examples and the picture really added a lot. There were some spelling and grammar errors in paragraph three, but other than that it was a solid blog.
ReplyDeleteI'd like to find out more about the "StatScale project". It sounds interesting in how it can organize data but also scary if it allows others to view private documents. I was not aware of big the number in have climbed in data collections. 30 billion devices by 2020 is only 4 years away. That number is higher than I ever imagined.
ReplyDeleteI agree with the concern of really needing "Big Data. I feel with most advances in technology there are always advantages and disadvantages to compare.