Introduction in recent years, as China has been implementing the strategy of science and education, as of now, has made considerable achievements, such as the popularization of artificial intelligence, the application of big data on the ground, but it is still in the observation stage, the big data technology has not been specifically mature, today we will briefly describe the limitations of big data and the limitations of big data embodied in which aspects, take a look!

1, the limitations of big data - big data does not understand the context

Human decision-making is not a discrete event, but is rooted in the time series and the environment. Over millions of years of evolution, the human brain has adapted to this reality. People are good at telling stories for many reasons and in many scenarios. Data analytics doesn't know how to tell stories or how thoughts surface. Even in a regular novel, such thoughts cannot be explained by data analytics.

2. Limitations of Big Data - Big Data will create bigger haystacks

This idea was put forward by Nassim

Taleb, a leading business thinker and author of the book The Black Swan: How to Deal with an Unknowable Future. The more data we have, the more statistically significant correlations we can find. Many of these correlations are meaningless and can lead people astray when solving problems. As more and more data becomes available, cheating grows exponentially. In the process of finding a needle in a haystack, the needle we are looking for is buried deeper and deeper. One of the hallmarks of the Big Data era is that the number of "big" discoveries is drowned out by the noise of expanding data.

3. Limitations of Big Data -- Big Data Can't Solve Big Problems

If you just want to analyze which mailers generated the most campaign contributions, you can do a randomized controlled trial. But if the goal is to stimulate the economy during a recession, you won't find a parallel-world society to use as a control group. What's the best stimulus package? There's a lot of debate about this, and despite the flood of data, as far as I can tell, none of the major debaters in this debate have changed their positions based on statistical analysis.

4. Limitations of Big Data - Big Data tends to be a trend, not a masterpiece

When a large number of individuals quickly become interested in a cultural product, data analysis can be sensitive to that trend. But some important (and lucrative) products are dropped from the data to begin with, simply because their quirks are unknown.

5. The limitations of big data -- big data obscures value

The point of "raw data" is that it can never be "raw"; it's always based on a person's tendencies and behavior. It is always constructed according to one's inclinations and values. The results of data analysis may appear to be objective and fair, but in reality, value choices are made throughout the entire process, from construction to interpretation.

This post is not meant to criticize Big Data for not being a great tool. But like any tool, big data has its strengths and weaknesses. As Yale

University's Edward Tufte has argued, big data has its strengths and weaknesses. Edward Tufte said, "The world is more interesting than any other discipline."

The above is the editorial today to you to organize the "brief description of the limitations of big data

Limitations of big data in what aspects" of the relevant content, I hope to help you. In general, the value of big data is inestimable, the future prospects for development is also very considerable, so interested partners, as soon as possible to start learning oh!