One, the decline of the Internet makes artificial intelligence the new wind mouth
First, the Internet traffic dividend has basically disappeared.
The dividend of the PC and mobile Internet has long disappeared, and cell phone shipments are declining every year. Cell phone, wireless aspects of the traffic basically went flat, but China has been a few years in a row to maintain the shipment of cell phones at 400 million units, meaning that you sell more than one other people will sell one less.
Now at this stage, the flow of the general trend is basically set, we all know that the first screen of the phone is basically these APP: WeChat, QQ, Taobao, headlines, mail, calendar. In the case of the new traffic dividend has been relatively dry, and then in this field of entrepreneurship is actually not very wise.
As an example, which is the last unicorn company in the PC Internet? Zhihu.
The company was officially launched in 2011, and today it is the latest PC unicorn.
The intensity of competition on the PC Internet in 2011 is similar to the degree of competition on the mobile Internet in 2015.
The total number of people and the total degree of competitive intensity of the mobile Internet in 2015 has actually exceeded that of the PC space in 2011, and that means that after 2015, the mobile Internet may be difficult to do.
Secondly, the biggest value that the Internet brings to users is to solve the problem of information asymmetry and connectivity.
E-commerce solves these two problems:
①Study the shore peal happy ape beer?
How do you know whether everything I sell is real or fake? How do you know if my after-sales service is good? Taobao solved the problem with Diamond Crown.
②The problem of information connection.
There are so many buyers and so many sellers, of course, we need a platform to bring everyone together, this is the "Internet +" focused on solving the problem.
For many traditional industries, information and connectivity is not a pain point.
Taking medical care as an example, there are only so many doctors in China's top three hospitals, and it's no use connecting the country's 1.3 billion people to these doctors, because a doctor can still only see so many patients a day. The Internet has not improved the efficiency of the doctor's visit, help is very limited.
Third, artificial intelligence can dramatically increase productivity.
Now AI is very hot to see the film, many grassroots hospitals to play out the CT and X-ray film, through AI can solve a lot of problems.
Also including the drip taxi, the Internet has solved the problem of difficult taxi, but did not solve the problem of taxi prices. In fact, after the subsidies are removed, we all found out that the drop is not cheap at all, the reason is very simple - no matter whether it is a special car or cab, or need to be driven by a person, labor costs can not come down, it is impossible to be cheap.
I don't know if you have experienced a problem, now the transformation of the Internet on the traditional industry in the catering industry is in fact very furtive, just to get a discount coupon to book it, as if that's all.
The catering industry really needs to solve the problem of whether the chef can be replaced, in this piece of the Internet can not help.
So, in the future, the transformation of artificial intelligence for all industries will be far more than the Internet.
For example, in the medical industry, many grassroots hospitals are not at a high level, then in the future it is entirely possible to assist doctors to read CT, X-ray and other medical images through artificial intelligence. Like this year, IBMWatson's diagnosis of skin melanoma, the accuracy rate has increased to 97%, far exceeding the average level of 75%-84% of human experts.
There is no doubt that in the future, AI will explode with huge social benefits, whether in unmanned vehicles, robotics, healthcare, finance, education or other fields.
Two, artificial intelligence has a wide range of applications
1, natural language generation
Natural language generation is a branch of artificial intelligence, research into how to convert data into text for customer service, report generation and market overview.
2. Speech Recognition
Siri is a prime example.
There are now hundreds of thousands of systems that transcribe human speech through voice response interaction systems and mobile applications.
3. Virtual assistants
A virtual assistant is a computer agent or program that can interact with humans, with chatbots being the best known. Virtual assistants are mostly used for customer service and support, and can act as managers of smart homes.
4, machine learning platform
Machine learning is a branch of computer science and artificial intelligence technology that enhances a computer's ability to learn.
By providing algorithms, APIs (application programming interfaces), development and training toolkits, data, and computational power to design, train, and deploy models to applications, processes, and other machines, it is widely favored by businesses 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 with a view to targeting ads precisely to the audience that best matches the product's positioning.
5. AI Hardware Optimization
The GPUs (Graphics Processing Units) and CPUs (Central Processing Units) used to run AI-oriented computing tasks are specially designed and architected.
Forthcoming silicon chips optimized for AI will be embedded directly into your portable devices and everywhere in your life.
6. Decision management
Intelligent machines are able to introduce rules and logic to the AI system, so you can use them for initial setup/training, as well as ongoing maintenance and optimization.
Decision management is implemented in multiple types of enterprise applications, which can assist or make automated decisions to maximize business revenue.
7, deep learning platform
Deep learning platform is a special form of machine learning, which contains multiple layers of artificial neural networks that can simulate the human brain, process data and create decision-making models. It is currently used primarily for pattern recognition and classification based on large data sets.
8. Bioinformatics
This technology is capable of identifying, measuring, and analyzing human behavior as well as the physical structure and form of the body.
It enables more natural interaction between humans and machines, including but not limited to image and touch recognition and body language recognition, and is now widely used in market research.
9. Machine Processing Automation
Machine Processing Automation uses scripts and other methods to automate human operations to support more efficient business processes.
It is currently used for tasks and processes where human labor is costly or inefficient.
Machine processing automation maximizes human talent and allows workers to be more creative and strategic, which is critical to a company's growth.
10, text analytics and natural language processing
Text analytics and natural language processing utilize statistical and machine learning methods to understand the structure, meaning, sentiment and intent of sentences, and are widely used in areas such as fraud detection and information security, as well as for mining unstructured data.
11, digital twin / AI modeling
Digital twin is a software architecture that builds a bridge between physical systems and the digital world.
General Electric (GeneralElectric, GE) announced that it will set up an artificial intelligence company for the monitoring of aircraft engines, locomotives, gas turbines, and failure prediction. The company's digital twin is just a few lines of code, and even the most complex versions look like 3-D computer-aided design drawings, full of interactive charts and data points.
12. Cyber defense
Cyber defense is a computer network defense mechanism that focuses on preventing, detecting, and responding in a timely manner to attacks and threats to infrastructure and information.
Artificial intelligence and machine learning have taken cyber defense to the next level: in 2017, **** detected 2 billion intrusions recorded, 76% of which were accidental and 69% of which were the result of identity loss.
Recurrentneuralnetworks (RNN), which are capable of processing sequences of inputs, have been combined with machine learning techniques to create supervised learning techniques that are able to spot suspicious targets and detect up to 85% of cyberattacks.
Startups such as Darktrace and Cylance place a high priority on combining AI with the field of cyberdefense.Darktrace combines behavioral analytics with advanced mathematics to automatically detect anomalous behavior within an organization, and Cylance applies AI algorithms to stop malware and mitigate the damage caused by attacks. Another company working on cyber defense, DeepInstinct, is seen as "the most disruptive startup" that aims to protect endpoints, servers and mobile devices in the enterprise.
13. Compliance
Compliance refers to the conformity of a person's or company's operations with generally accepted governance, statutes, regulations, standards or contractual terms.
The use of artificial intelligence in compliance has become commonplace, with natural language processing technology able to scan text and match its patterns to 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 flagged as potential money laundering activities.
14, knowledge work assistance
While many people are concerned about whether AI will completely replace human work, but do not forget that AI technology can largely help people to excel in their own work, especially in the field of knowledge work.
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 material that people input into the online world, such as videos, advertisements, blogs, white papers, infographics, and other visual or written material.
Teams such as CBS have used AI technology for content generation; Wibbitz's SaaS platform can turn textual content into video content with an AI video product; and Wordsmith, developed by Automatic Perspective, utilizes natural language processing technology for news writing after acquiring data.
16, P2P network
P2P network is a network of participants *** enjoy a portion of the hardware resources they own, these *** enjoy resources through the network to provide services and content, can be directly accessed by other P2P nodes without having to go through the intermediate entity.
Ben Hartman, chief executive officer of BetCapitalLLC, said in an interview with Entrepreneur magazine that P2P networks are also being used for cryptocurrency encryption, and are even capable of solving some of the world's most challenging problems by collecting and analyzing large amounts of data.
Price, a company that aims to use P2P networks and artificial intelligence to make search engines more accessible, is rewarding participants with cryptocurrency by letting them lend the computing power of their computers. Accordingly, the company promises a more transparent search engine platform.
17, emotion recognition emotion recognition can be advanced image processing or audio data processing to "read" the expression on the human face. Currently, we have been able to capture "micro-expressions", recognize body language cues, and analyze the tone of voice containing emotions.
Law enforcement officials can use this technology to gain more information during interrogations, and it's also being used in marketing.
18, image recognition
Image recognition is the process of recognizing and detecting objects or features in digital images or videos, and artificial intelligence technology has unique advantages in this field.
AI can search for photos on social media platforms and compare them to large data sets to find the most relevant content.
Image recognition technology can be used for license plate recognition, disease detection, customer opinion analysis, and identity verification.
19, smart marketing
So far, marketing departments have benefited greatly from AI, and the industry's trust in AI is well founded. 55% of marketers are convinced that AI will have a greater impact in their field than social media.
Intelligent marketing can improve a company's engagement and efficiency by segmenting customers, integrating customer data and managing campaigns, and streamlining repetitive tasks, giving decision makers more time to focus on strategy development.