How to use artificial intelligence correctly? How to use artificial intelligence?

Before trying to "build AI right," the basic vocabulary of AI must first be established, and AI is a dialect of technology used by people who "tell the data." Chief Information Officer.

At a minimum, you should identify the main terms used to describe the AI system or solution, the reasons why the solution was developed, and other key terms related to the different types of data used in and collected from the solution. In addition to models and algorithms, data is the foundation for the implementation of any AI process. The adoption of artificial intelligence will consume and generate data.

Artificial intelligence data design.

A dataset that needs to be interpreted by an enterprise-to-AI algorithm.

to understand and process. The CIO and Head of Data and Analytics will be responsible for establishing and maintaining data management for AI. To be successful, developing data management expertise throughout the process is critical.

Regardless of the scope of the program or the maturity of the organization, IT language barriers can exist locally or systematically. Addressing barriers requires a shift in mindset, as well as a conscious acknowledgment and intervention of the "right course." While some may be aware of the fundamental role data plays in business transformation, most don't.

Therefore, there is a need for skilled leadership and purposeful change management disciplines, starting with acknowledging that information is the new dialect of the digital revolution. Data literacy is the ability to read, write, and deliver data in a scenario. It includes an understanding of data sources and structures, analytical methods and techniques applied, and the ability to describe use cases, applications, and outcome values.

It's a foundational component of digital agility and an employee's ability and desire to leverage existing and emerging technologies to drive better business outcomes.

With all AI solutions, the concept of "good AI" and "bad AI" has emerged. However, there is no single or comprehensive definition of these terms. The choice of different aspects can have a significant impact.

Even the most successful companies should avoid falling into a false sense of security because they trust themselves not to be influenced by ethical blunders involving AI. A broad and focused discussion is needed to discern the different types of ethical issues and dilemmas that companies may face, as well as the actual ethical stances they may take. CIOs should apply digital ethics and digital connectivity to guide and clarify business decisions and choices when adopting AI.

Artificial intelligence algorithms are still in the stage of weak artificial intelligence so far. Algorithms are not yet self-conscious and unable to think like humans. Therefore, AI algorithms are currently only an algorithmic tool that is more efficient and can cope with more complex conditions.

Therefore, a tool is not inherently good or bad. It's all about what the user uses it. If it is used well, it can really benefit human beings and the whole society.

On the other hand, the use of evil scenes will inflict greater suffering on human beings.

The emergence of artificial intelligence home appliances will bring revolutionary changes to our daily life, and the biggest change is that in the use experience of home appliances, intelligent systems will completely change the way home appliances operate. For example, the intelligent temperature control system of the air conditioner can sense the nearest heat source and only cool the heat source in a small area, while the whole room is kept at a constant temperature, and people no longer need to hold the remote control of the air conditioner to adjust the mode and temperature.

In fact, it is actually necessary for artificial intelligence to prefer home appliances. The development of AI appliances will promote the continuous progress of AI technology. By constantly proposing new requirements and proposing desired results, new business opportunities are being created, and collaboration between producers and AI development teams is promoted to create new smart technologies.

Artificial intelligence is developing rapidly, and can currently be used for ** recognition, such as red wine recognition, dish recognition, face recognition, plant recognition, etc., speech recognition, such as text-to-speech, speech-to-text, ** processing, such as old ** processing, image clarity processing, image cutout; There are OCR recognition, such as certificate recognition, bill recognition, test coupon recognition, etc., knowledge base, such as knowledge quizzes, work creation, etc.

Although all this can not completely replace the manual, but can replace part of the labor, saving a lot of manpower and material resources, now the ability of artificial intelligence is constantly improving, will replace more labor.

The use of artificial intelligence by large platforms requires secondary development of corresponding functions, so how can individuals and small and medium-sized enterprises use artificial intelligence? This can be done in the following ways:

Create a group or channel on Kehuibao and bind the corresponding intelligent robot, so that you can use the relevant functions.

Do you have a specific aspect?

AI can be used in every aspect of our lives.

1) Chatting robot Such a robot generally does not need a professional knowledge base, the industry has used wisdom teeth, ordinary greetings can be, it does not need to answer questions positively, and there is no concept of a single round of multi-round sessions, just need to give an answer, there is no requirement for the recall rate, and there is no requirement for the accuracy rate, which is not technically difficult. References: wisdom tooth experience version, small i robot.

2) Personal assistant This is common for everyone, and Siri is one. The biggest difficulty is intention recognition, which includes language, text, expression, and body action recognition, which requires the robot to have a strong learning ability, and at the same time skip a single round of conversation, which must meet multiple rounds of conversation, which is not easy to do.

3) Customer service bot This is the old business. The customer service robot is a knowledge base retrieval, to achieve a single round, multiple rounds of conversation, it does not need intent recognition, but to do the analysis of various messages, has been effective feedback to the visitor, this is to hit the rate, so the difficulty is not small, fortunately, the technology is relatively mature, has been commercialized, Seven Fish is also doing a good job, praise one.

2. Data model construction

This is rarely mentioned, but we do need it. As we all know, the later stage of business competition is a competition for data share. Only with data can we have combat effectiveness.

However, the existing data analysis model is nothing more than manual formulation, at most it supports a high degree of customization, and the cost of plausibility verification of the model is comparable.

3. Voice interaction

This is quite a lot of people have done it, about 10 or so. Through recording and streaming, the commercialization of voice robots is realized, focusing on product promotion and after-sales service. A small team called Lingsheng has achieved commercialization in Hangzhou Ali, and I heard that customers are lining up, and after talking about the customer service field, let's talk about the market I understand.

1) Service industry.

2) Industry. 3) Agriculture and animal husbandry.

Artificial intelligence is a technological product that requires a series of ultra-difficult tasks such as manpower, brainpower, development, advanced technology, and continuous research and experimentation. Of course, this kind of research is a development that is strongly supported by the state and the people. Its development has a very large international impact.

Artificial intelligence can also be defined as highly human-like, and although it is unlikely to have the same sensitive reaction and thinking ability as humans, artificial intelligence is research developed in accordance with the exploration of the structure of human thoughts, etc.

The main purpose of the development of artificial intelligence is to do complex, dangerous, difficult, repetitive and boring work for human beings, so artificial intelligence is designed and developed with human structure, and the country also fully supports artificial intelligence after it is well developed. Artificial intelligence is also being developed primarily to help and facilitate human life. Therefore, the definition of artificial intelligence has always existed to "assist humans".

The popularity of the concept of artificial intelligence has promoted the rise of many industries, such as domain names, many related. The top domain name has been registered.

In the future, there may be artificial intelligence in many traditional industries, such as banks, to help you get better returns. Artificial intelligence determines who can safely lend credit cards or other loans, and will repay the money. Then artificial intelligence can start to move, and you can enter industrial robots, commercial robots, and finally home robots.

Since the digital age, the hardware conditions for artificial intelligence have matured.

At present, the main problem that plagues AI research is that the fragmentation of functional programs cannot meet the needs of imitating human intelligence. One program corresponds to one function, which is far from the unity and harmony of human intelligence, where all functions correspond to each other seamlessly. Realize the integration of operating system and application, for example, the mobile phone does not need to install any application driver, only original input or relevant knowledge meaning, you can achieve the required functions.

At most, test run and debugging can be done. The operating system learns for itself what it has. i.e. what kind of body I have.

Functions and expressions will be randomly subject to preference, and imagination, and increase independently, to achieve unlimited DIY of function and growth, after realizing such integration, your dream will soon come true.

The difficulty is that the operating system is intelligent.

The difficulty of intelligence is to ensure the absolute mirroring of the input and output data streams, and to meet the needs of the two completely different meaning cut-off rules of perception drive.

It is expected that in 1-2 years, these problems will be solved theoretically. After another 1 year, your dream will come true. Humanity will then enter the age of true intelligence.

Artificial intelligence, requires a foundation in mathematics: advanced mathematics, linear algebra, probability theory, mathematical statistics and stochastic processes, discrete mathematics, numerical analysis.

The accumulation of algorithms is required: artificial neural networks, support vector machines, genetic algorithms, etc.; Of course, there are algorithms needed in various fields, such as SLAM needs to be studied to allow robots to navigate and map the location environment by themselves; In short, there are many algorithms, which take time to accumulate.

It is necessary to master at least one programming language: after all, the implementation of algorithms still needs to be programmed; If you go deep into hardware, some basic electrical courses are essential.

Artificial Intelligence (AI) in English. It is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial Intelligence (AI) in English.

It is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Approximate steps to learn AI:

1) Understand some background knowledge of artificial intelligence;

2) Supplemental knowledge of mathematics or programming;

3) Familiar with machine learning tool library;

4) Systematic learning of AI knowledge;

5) Do some AI applications with your hands;

Artificial intelligence is a very broad concept, starting with getting data, then modeling and optimization.

Generally achieved through **, there are now some AI platforms that can be done.

Artificial intelligence technology application subdivisions: deep learning, computer vision, intelligent robots, virtual personal assistants, natural language processing - speech recognition, natural language processing - general, real-time speech translation, situation-aware computing, gesture control, visual content automatic recognition, suggestion engine, etc.

We should adopt a rational and objective attitude towards artificial intelligence.

Although artificial intelligence is superior in some aspects, artificial intelligence is coming, and many people are exclaiming that many professions will be replaced by artificial intelligence and robots in the future. It is true that machines and artificial intelligence will replace some simple labor, repetitive labor and regular activities of people, but they will also create more newer and unprecedented new occupations. The popularity of the concept of artificial intelligence has promoted the rise of many industries, such as domain names, and many related top domain names have been registered.

But it does not completely replace the role of humans. In many fields, such as education, medical care, art creation, etc., AI still needs to cooperate with humans to achieve better results.

At the same time, we should also recognize the limitations and challenges of AI. AI cannot be as creative, emotional, and self-aware as humans, nor can it replace the full range of human functions and roles. Therefore, while using artificial intelligence, we also need to pay attention to the potential negative effects of artificial intelligence, such as privacy leakage, algorithm discrimination and other issues.

In conclusion, we should look at AI with a rational and objective attitude, not only to make full use of its advantages, but also to pay attention to its potential risks and challenges. At the same time, we should also actively explore and promote the development of artificial intelligence and make greater contributions to the development of human society.