Which of These Characteristics About Big Data Is True?

which of the following characteristics about big data is not true

Which of These Characteristics About Big Data Is True?

Which of the following characteristics about big data is true? It is hard to tell. The data that we collect in a day will inevitably be of an enormous scale, and therefore it will be difficult to analyze it piece by piece. There is, however, one way in which we can analyze this data quickly and easily: through machine learning.

So which of the following characteristics about big data is true? In short, yes. Machine learning has revolutionized the way that companies collect and analyze data. Before the advent of computer power, companies would either have to develop their own algorithms for sorting through unstructured data, or hire a group of people to do so.

In the last ten years, however, because of the incredible developments in computer technology, most companies are now able to process data on a massive scale thanks to deep learning. Deep learning describes the process by which computers can emulate the complex processes that humans take part in – from the way that we type information into a keyboard to the way that we navigate websites to the way that we judge the quality of the product that we are purchasing. In short, deep learning lets machines learn how to function just like a real human. Today, thanks largely to the work of Yann LeCoultre and Alpha AI, computer programs that can learn how to operate on big data are becoming very popular.

One of the key features of deep learning is the fact that it takes unsupervised learning to the next level. A computer is able to sift through huge amounts of unstructured data and make sense of it. Humans, on the other hand, are very poor at doing this. Why? Humans are more interested in details, and even when we can piece together pieces of a complex puzzle, our brains still struggle to understand the overall pattern.

This is a critical problem, because much of machine learning and big data has been driven by the goal of improving artificial intelligence. The intelligence of computer systems has always been the question. How can we make computers smarter? And in the quest for achieving this, computer programmers have often needed to create highly complicated software programs which are trained on unstructured big data sets.

Deep learning makes it possible for a computer to mimic not only the way that humans think, but also the way that humans feel. To take one example, if you were at the top of a hill and saw an unfamiliar figure looming up above, it is likely that your instinct would be to investigate, but most people wouldn’t. Because it is not easy for a human to think about such a scenario, it becomes much more difficult for a computer to do so. But thanks to deep neural networks, computers are now able to generate accurate predictions about future events based on “raw” and unstructured data.

Does this mean all the hype about big data is actually true? Not necessarily. It is certainly interesting to see new applications emerge using such methods. However, as with all new technologies, there may be a dark side which lies beneath. As my colleague Leebrow pointed out in a recent post, there are concerns that “all these claims of artificial intelligence may be myths (and the research may be biased)”.

Which of the following characteristics about big data is true? Yes, big data can improve human decision making, but only up to a point. Then the flaw in the system becomes obvious.

What does this mean for the rest of us? We need to use caution when applying complex algorithms to large unstructured databases. Doing so may lead to biased or unimportant decisions at the onset. In this way, big data may make it easier to generate wrong results in certain applications. Such flaws become very worrisome when it comes to making business decisions.

Now, back to the original question: which of the following characteristics about big data is true? Yes, it is definitely true that humans will always be superior to artificially intelligent supercomputers in many ways, such as in speed and accuracy. Of course, the quality of the software used by these supercomputers will improve with time. Also, we must ensure that humans remain the control mechanism and not machines.

Now that you know the answers to the which of the following characteristics about big data is true? You can now safely say that your competitors would be taking notice. If they are, you need to adjust your strategy accordingly. Otherwise, you could find yourself stuck in a never-ending competition with them. That would be bad news indeed!