Arithmeticians - Big Data and Artificial Intelligence

Surely we should be impressed with the difficult moves Leo dodge the hail of bullets in The Matrix, in which the shadow of big data and artificial intelligence is filled. The archetypes, which looked pretty sci-fi at the time, were already widely used techniques by tagging the database, testing the database, orchestrating or even attacking the enemy.

Big data is the ability to quickly get valuable information from a wide variety of data types. It is important to understand this and that is what motivates this technology to have the potential to reach many businesses.

From the Amazon's price recommendation, Nefilix's successful planning of the "House of Cards", Microsoft's New York Institute economist David Rothschild accurate prediction of the Obama to Oscars to the NBA data, it has been fully proved that this is not a gimmick .

Big Data has four distinct advantages: First, the volume of data is huge. From the TB level, jumped to the PB level; second, a wide range of data types. Network log mentioned earlier, video, pictures, location information and more. Third, the value of the low density. Taking video as an example, the data that may be useful in continuous uninterrupted monitoring is only one or two seconds. Fourth, the processing speed.

Artificial Intelligence is a very complex direction, but also a cross-disciplinary computer science, involving other aspects of knowledge, the main content of computer learning human natural language processing. We do not need to reverie such a science fiction screen as the Terminator, that's what scientists want to study. In real life, we have seen more and more products combining big data and artificial intelligence, such as Apple's Siri, which includes Speech Recognition and is part of Natural Language Processing. In actual applications, played a lot of role, including the deployment of services on smart phones, to solve the daily needs of users.

So is this a combination of big data and artificial intelligence? Let's look at the simple principle:

In the book Big Data: Revolutions that Change Our Lives, Jobs and Thoughts, Victor Meyer mentions that today's computer systems operate on the exact rules that they are required to follow when writing programs. Therefore, we can go back to Recode when a result is inevitable and inevitable. No matter how complex the computer code is, any code is the basis for chasing and understanding computing.

But big data tracking becomes much more difficult. First, the basis for algorithmic prediction can be complicated for ordinary people to understand. Google Translate uses billions of pages of translation material to determine the translation method of a word. This large amount of statistical data based on massive data, making it almost impossible to track the algorithm specific factors. At the same time, due to the size and weight of big data, its scale of operation is beyond our imagination. Google's ability to distinguish between several search terms and flu is the result of testing 450 million mathematical models.

If you want to persuade customers to use this technology, you need an arithmetic to help adjust, engaged in this job who need what are the requirements?

First, these professionals are experts in computer science, mathematics and statistics. In their daily work, they check big data for analysis and forecasting. They evaluate data sources, analyze forecasts, and make underlying algorithms models. When people need to examine the principles of algorithms, they will call out the results of algorithms, statistical methods, and databases. In short, the algorithm operator plays a role of screening data.

Computer development so far, the accumulation of a large database requires someone to organize it, to give targeted use. Here the arithmetic division is divided into external arithmetic division and internal arithmetic division. External lawyers can check the accuracy or rationality of big data forecasts as the neutral auditor when the government needs them, such as the courts, to issue orders or issue regulations. The arithmetic division can provide services for big data companies and give professional auditing services.

Internal arithmetic division monitors big data activity within the organization. They focus not only on the interests of the business but also on the people who are affected by the big data analysis of the business. They supervise big data operations, and when anyone feels hurt by a Big Data foreshortened by the agency, the internal arithmetic community is their first contact person. They check the completeness and accuracy of the analysis before the data is released. To complete the first two tasks, the arithmetic division must enjoy a certain degree of freedom and neutrality in the enterprises in which they work. All in all, the internal arithmetic division is a business that a business generates to maintain public trust.

The most direct reason for this occupational needs of the arithmetic division is that the field of big data has not yet been able to establish new norms and regulations to bind the enterprises. The arithmetic division is designed to set up a system for social analysis of personal data and other security concerns set up security, for this open black box job, someone interested?