Abstract: Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It can be imagined that the technological products brought by artificial intelligence in the future will be the "containers" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like humans and may even exceed human intelligence. So do you know why we need to develop artificial intelligence? This is because the decline of the Internet has made artificial intelligence the next hot topic, and the widespread use of artificial intelligence has also made the development of artificial intelligence necessary. Let’s take a look at the detailed knowledge below. Why do people need artificial intelligence
1. The decline of the Internet has made artificial intelligence a new trend
First, the Internet traffic dividend has basically disappeared.
The dividends of PC and mobile Internet have long since disappeared, and mobile phone shipments are declining every year. Mobile phone and wireless traffic has basically flattened, but China’s mobile phone shipments have remained at 400 million units for several consecutive years, which means that if you sell more units, others will sell less units.
At this stage, the general trend of traffic is basically set. Everyone knows that the first screen of mobile phones basically consists of these apps: WeChat, QQ, Taobao, Toutiao, Email, and Calendar. Now that the new traffic dividends have dried up, it is actually not very wise to start a business in this field.
For example, which is the last unicorn company in the PC Internet? Zhihu.
Zhihu was officially launched in 2011, and to this day it is already the latest PC unicorn.
The intensity of PC Internet competition in 2011 was similar to that of mobile Internet competition in 2015.
The total number of people and the overall intensity of competition in the mobile Internet in 2015 has actually exceeded that in the PC field in 2011, which means that after 2015, it may be difficult for the mobile Internet to continue.
Second, the greatest value that the Internet brings to users is to solve the problems of information asymmetry and connection.
E-commerce solves these two problems:
①Stand by ⒉Huanyuan Beer?
How do you know whether the things I sell are genuine or not? Fake? How do I know if my after-sales service is good? Taobao solved the problem with Diamond Crown.
② Information connection problem.
With so many buyers and so many sellers, of course a platform is needed to bring everyone together. This is a problem that "Internet +" centrally solves.
For many more traditional industries, information and connections are not pain points.
Take medical care as an example. There are only so many doctors in tertiary hospitals in China. It is useless to connect 1.3 billion people across the country with these doctors, because a doctor can only see so many patients in a day. The Internet has not improved the efficiency of doctor's consultation, and its help is very limited.
Third, artificial intelligence can significantly improve productivity.
AI film viewing is very popular now. Many CT and X-ray films produced by primary hospitals can solve many problems through AI.
Including Didi Taxi, the Internet has solved the problem of difficulty in taking taxis, but it has not solved the problem of taxi prices. In fact, after the subsidy was removed, everyone discovered that Didi was not cheap at all. The reason is simple - whether it is a private car or a taxi, it still needs to be driven by people. If the labor cost cannot be reduced, it cannot be cheap.
I don’t know if you have realized a problem. Now the Internet’s transformation of the catering industry in the traditional industry is actually very superficial. It is nothing more than getting a discount coupon to make a reservation. It seems like that’s it.
What the catering industry really needs to solve is whether chefs can be replaced, and the Internet cannot help here at all.
Therefore, in the future, artificial intelligence will transform all walks of life far more than the Internet.
For example, in the medical industry, many grassroots hospitals are not of high quality. In the future, artificial intelligence can be used to assist doctors in reading CT, X-ray and other medical images. Like this year, IBM Watson's accuracy in diagnosing skin melanoma has increased to 97%, far exceeding the average level of 75%-84% of human experts.
In the future, artificial intelligence will have huge social benefits whether in autonomous vehicles, robots, medical care, finance, education or other fields. There is no doubt about this.
2. Artificial intelligence is widely used
1. Natural language generation
Natural language generation is a branch of artificial intelligence. It studies how to convert data into text and uses for customer service, report generation, and market overview.
2. Speech recognition
Siri is a typical example.
Currently, there are hundreds of thousands of systems that transcribe human language through voice response interactive systems and mobile applications.
3. Virtual Assistant
A virtual assistant is a computer agent or program that can interact with humans, of which chatbots are the most famous. Virtual assistants are mostly used for customer service and support, and can serve as smart home managers.
4. Machine learning platform
Machine learning is a branch of computer science and artificial intelligence technology that can improve the learning ability of computers.
It is widely favored by enterprises by providing algorithms, APIs (application programming interfaces), development and training toolkits, data, and computing power to design, train, and deploy models to applications, processes, and other machines. Used to solve prediction and classification tasks.
Adext is the world's first and only audience management tool that applies artificial intelligence and machine learning to digital advertising in order to accurately deliver ads to the audiences that best match product positioning.
5. Artificial Intelligence Hardware Optimization
Used to run artificial intelligence-oriented computing tasks, it is a specially designed and structured GPU (Graphics Processing Unit) and CPU (Central Processing Unit) .
The upcoming artificial intelligence-optimized silicon chips will be directly embedded into your portable devices and everywhere in your life.
6. Decision management
Smart machines can introduce rules and logic into the AI ??system, so you can use them for initial setup/training, as well as ongoing maintenance and optimization.
Decision management is implemented in many types of enterprise applications. It can assist or make automatic decisions to maximize enterprise profits.
7. Deep learning platform
Deep learning platform is a special form of machine learning. It contains multi-layer artificial neural networks that can simulate the human brain, process data and create decisions. model. Currently it is mainly used for pattern recognition and classification based on large data sets.
8. Bioinformatics
This technology can identify, measure, and analyze human behavior and the physical structure and form of the body.
It can give more natural interaction capabilities between humans and machines, including but not limited to image, touch recognition and body language recognition, and is currently widely used in the field of market research.
9. Machine processing automation
Machine processing automation uses scripts and other methods to automate human operations to support more efficient business processes.
Currently used for tasks and processes where labor costs are high or where efficiency is low.
Machine processing automation can maximize human talents and make employees more creative and strategic, which is crucial to the development of the company.
10. Text analysis and natural language processing
Text analysis and natural language processing use statistical and machine learning methods to understand the structure, meaning, emotion and intention of sentences, and are widely used in fraud detection and information security, and can also be used for unstructured data mining.
11. Digital twin/AI modeling
Digital twin is a software architecture that builds a bridge between the physical system and the digital world.
General Electric (GE) announced that it will establish an artificial intelligence company for monitoring and fault prediction of aircraft engines, locomotives, and gas turbines. The company's digital twins are just a few lines of code, and even the most complex versions look like three-dimensional computer-aided design drawings, filled with interactive charts and data points.
12. Network defense
Network defense is a computer network defense mechanism that focuses on prevention, detection, and timely response when infrastructure and information are attacked and threatened.
Artificial intelligence and machine learning have brought network defense to a new stage of development: in 2017, hackers detected 2 billion intrusions, 76% of which were accidental, 69 % is caused by identity loss.
Recurrent neural networks (RNN) can process input sequences and combine with machine learning technology to create supervised learning technology, which can find suspicious targets and detect up to 85% of network attacks.
Startups such as Darktrace and Cylance attach great importance to work in the field of artificial intelligence combined with network defense. Darktrace combines behavioral analysis with advanced mathematics to automatically detect abnormal behavior within an organization, and Cylance applies artificial intelligence algorithms to block malware intrusions and mitigate the damage caused by attacks. Another company dedicated to cyber defense, DeepInstinct, which aims to protect enterprise endpoints, servers and mobile devices, is regarded as the "most disruptive startup".
13. Compliance
Compliance means that a person or a company's business activities are consistent with recognized management, regulations, rules, standards or contract terms.
The application of artificial intelligence to compliance work is commonplace. Natural language processing technology can scan text and match its patterns with keywords to identify company-related changes.
Capital stress testing technology with predictive analytics and scenario builders can help companies comply with regulatory capital requirements. In addition, the use of deep learning can effectively reduce the number of transactions that are flagged as potential money laundering activities.
14. Knowledge work assistance
Although many people are worried about whether AI will completely replace human work, don’t forget that AI technology can help people do excellent work to a great extent. Get your work done, especially in knowledge work.
The automation of knowledge work has been ranked as the second most disruptive emerging technology. In the medical and legal fields, which rely heavily on knowledge workers, practitioners will gradually use AI technology as a diagnostic tool.
15. Content creation
Content creation includes any materials that people input into the online world, such as videos, advertisements, blogs, white papers, infographics, and other visual or written materials.
Teams such as CBS have used AI technology for content generation; Wibbitz’s SaaS platform can convert text content into video content through artificial intelligence video products; Wordsmith, developed by the Auto-Perspective Company, after obtaining the data Use natural language processing technology for news writing.
16. P2P network
P2P network means that network participants *share a part of the hardware resources they own, and these shared resources provide services and content through the network , can be directly accessed by other P2P nodes without going through intermediate entities.
Ben Hartman, CEO of BetCapital LLC, said in an interview with "Entrepreneur" magazine that P2P networks are also used for currency encryption and can even solve some of the world's biggest problems by collecting and analyzing large amounts of data. Challenging questions.
Price is a company that aims to use P2P networks and artificial intelligence to make search engines more understandable, allowing participants to lend the computing power of their computers in exchange for cryptocurrency rewards. Accordingly, the company promised to build a more transparent search engine platform.
17. Emotion recognition Emotion recognition can "read" the expressions on human faces through advanced image processing or audio data processing. Currently, we are able to capture “micro-expressions”, identify body language cues, and analyze voice and intonations that contain emotion.
Law enforcement officials use this technology to obtain more information during interrogations, and this technology is also widely used in marketing.
18. Image recognition
Image recognition refers to the process of identifying and detecting objects or features in digital images or videos. Artificial intelligence technology has unique advantages in this field.
Artificial intelligence can search for photos on social media platforms and compare them to massive data sets to find the most relevant content.
Image recognition technology can be used for license plate recognition, disease detection, customer opinion analysis, identity verification, etc.
19. Intelligent Marketing
So far, marketing departments have benefited a lot from artificial intelligence, and there are good reasons for the industry's trust in artificial intelligence. 55% of marketers are convinced that artificial intelligence will have a greater impact in their field than social media.
Intelligent marketing can increase company engagement and efficiency, segment customers, integrate customer data and manage activities, and simplify repetitive tasks, giving decision-makers more time to focus on strategy development.