Shulou(Shulou.com)06/03 Report--

In recent days, fraud methods have been constantly renovated and there are so many tricks that it is difficult for us to guard against. Even, some swindlers have used AI technology, which really scares off the editor's 24K gold teeth.

The editor dug up the data of the whole network, and collected and sorted out the following four main types:

1. Steal WeChat account, repost Wechat voice with AI technology, and defraud

2. Voice extraction, sound synthesis, voice forgery, fraud

3. Steal video call information, change AI face, and implement fraud

4. Screening network information, AI technology targeting, fraud

What? Even liars use AI technology, but you are still eating melons.

Again, the inspirational drama "Dear Dear", which has dominated the list for a month, has finally come to an end. Lian CCTV also made a public roll call, in which, through actress Tong Nian, more people got to know the professional field of AI artificial intelligence, and some netizens even said:

You think artificial intelligence is out of our reach? No, it's right around us!

Enrich your skills and equipment

You must know a lot about artificial intelligence. After all, life is everywhere.

What is the core of artificial intelligence? as long as you find this core, you will find the direction of continuous learning. The reason for the intelligence of artificial intelligence is that after the collection, analysis and testing of large-scale data sets, the artificial intelligence can gradually become intelligent through targeted training and continuous optimization.

Therefore, "data" is the core, and we need to collect and select valid data from a large amount of data for model training; the data comes from different platform systems, and the "interface" is equivalent to a channel to transmit these data streams. In this era of information explosion, "security" is undoubtedly the top priority. According to a survey of 2410 IT and cyber security experts from the United States, Britain, Germany, Australia, Mexico and Japan, according to the Security Research Center Ponemon, most of the respondents said that the most worried cyber security threat in 2019 is third-party risk.

Therefore, regardless of whether "artificial intelligence" is a wordless book that you cannot understand, upgrading your own technical equipment to the level of understanding and learning any emerging industry is our ultimate goal of continuous learning and not falling behind.

Let's take a look at the skills you must possess at present, and even in the next two or three years. Let's assume that you are a novice in the IT industry (manual function tester). If you are already in a certain field, you can also take a look at what is missing in your skills and equipment.

1. Language category

Python continues to be hot, in the original web development, automated test script development level, too much used in big data processing analysis, artificial intelligence applications, its hot degree continues unabated.

JAVA is an enduring type, compared with the growth of python, the historical status of JAVA has long been established, for the architecture design of complex system platforms, should not give way; at the same time, in the field of automated testing second only to python, but other people's attainments in big data can not be ignored, at first, several components of big data are based on JAVA development.

2. Automated testing

For those in the industry who are committed to the transition from manual testing to automated testing, or who are developers themselves and want to switch to automated testing, whether it is web or APP, starting from UI automation will be a good choice, as long as they have a code writing foundation (Python,JAVA).

In addition, code ability, knowledge storage of common network protocols and data analysis ability also directly affect whether you can undertake the task of interface testing. Compared with UI automation, interface testing does not need to pay attention to the interface, and its maintainability and flexibility are more cost-effective. This is also the reason why interface testing is strongly advocated and popularized.

3. Safety penetration test

According to the survey of authoritative institutions, 80% of the current security problems occur at the level of data security, but often only 20% of the protection costs in enterprises are applied to the security of the system, and some even launch products or systems without considering the safety factor at all.

Data disclosure and attacks on the assets of the Internet of things (IoT) or operational technology (OT) are also the top priorities in the contemporary network security factor. Security testing will be the focus of current and future testing, and the research on vulnerability principles, attack methods and testing methods has never stopped.

4 、 big data

Now when we talk about big data, it seems to be a bit of a clich é. After all, people have been popular for so many years, and the focus in recent years is on big data's application in various industries. Then, for you who are in the IT circle, it may not be necessary to understand big data's past life and this life, but for big data's application in artificial intelligence (AI), you have to know the context of the core workflow. And how to apply it to AI.

Only when you know what it is, you can know why. AI has a long way to go and is the mainstream trend of the world. No matter what function you do in the IT circle in the future, it is bound to be inextricably linked.

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