Methods of making money from artificial intelligence
If you love the world of technology, you have probably followed the news related to the field of artificial intelligence and the Internet of Things, and you have heard many times about the progress of these new technologies. According to SEMrush predictions, the value of the global artificial intelligence market will reach $190.61 billion by 2025. For this reason, many people interested in this field are looking for ways to make money from artificial intelligence and want to make money from their science.
5 ways to make money from artificial intelligence
In the last decade, most organizations and software companies are moving towards the use of artificial intelligence. From the facial recognition system used in security organizations to the creation of computer games, all are considered applications of artificial intelligence. Therefore, with the increase in demand, the artificial intelligence job market has become very prosperous, and there has never been a better time than the last decade to start making money from artificial intelligence.
1- Setting up startups
If you are thinking of making money from artificial intelligence, starting a startup is one of the new methods that have become very popular in recent years. Companies that deal with artificial intelligence and make money from it can usually make the best use of this technology by using new tools and advanced ways.
There are also companies that operate around a product-based process and conduct new experiments to improve it. Usually, these companies produce a product that can quickly open its place in the market by getting information about the market and the needs of people and businesses.
If you are looking to start a startup based on artificial intelligence, check the digital market first. Then bring your ideas closer to the needs of the day. In the next step, it is better to register your idea or company with the participation of an investor. Finally, market your product by doing marketing and fundraising.
2- Application design using artificial intelligence
If starting a business in the field of artificial intelligence is daunting and difficult for you, don’t worry. In this situation, you can try other methods of making money from artificial intelligence, such as designing software based on artificial intelligence.
Imagine that you are fluent in one or more programming languages and familiar with different frameworks. You also have some industry experience and can provide multiple solutions for different companies and organizations in this field.
Also, you and I can design a website or software based on artificial intelligence, some of its features are free for public use, and the other part requires payment. You can also apply a Premium subscription for your application or website so that users who need more and better features and facilities from your platform can access these facilities by paying a fee and purchasing a Premium subscription. This software or your website can contain any subject and idea; there is no limit on this.
3- Teaching artificial intelligence to those interested
Education is one of the methods of making money from artificial intelligence. This new technology has gained a lot of fans among the new generation and young people, and that’s why many enthusiasts plan to earn a lot of income from it other than for personal use.
With these interpretations, you can attract interested people and hold many webinars and courses through online teaching. Also, starting a blog on artificial intelligence engineering is not a bad idea.
Online and offline education can have many positive benefits. For example, people interested in artificial intelligence will no longer worry about the distance or crowded streets and can participate in your training course at any time and anywhere. That’s why you can attract a large audience by holding online meetings and courses, and as a result, your income will increase.
4- Designing chatbots as virtual assistants
In recent years, artificial intelligence has advanced to such an extent that it can mimic the way the human brain works. That’s why GBT chat was designed. If you don’t know about this new technology, read the article What is GBT chat?
With these interpretations, the design of different chatbots can be considered one of the methods of earning money from artificial intelligence; But the development of this type of chatbots requires two basic technologies such as speech recognition and semantic analysis.
By using this technology, it is possible to convert speech to text, search the database and identify entities easily. This type of chatbot is a type of digital assistant for mobile applications and web interfaces that can be useful in any business.
5- Financial plans and forecast analysis
One of the methods of earning income from artificial intelligence is machine learning and designing financial plans and analysis and forecasting. This expertise is very useful in financial markets and for predicting when to buy or sell a particular stock or even predicting the outcome of a sports match.
Many companies have a type of business in such a way that the prediction of future developments is very effective in their income. Therefore, if the history of your predictions is reliable and with only a small margin of error, you can receive a significant fee for providing your services to online investors and the stock market.
Conclusion
In this article, let’s talk about ways to make money from artificial intelligence. As you know, artificial intelligence is one of the growing fields and one of the most profitable industries that you can earn from it in addition to personal expenses.
The best artificial intelligence books for beginners
In today’s world, where artificial intelligence chat GBT has revolutionized the world, the importance of learning this science shows itself more than in the past. In the last decade, artificial intelligence is no longer just a subject for making science-fiction films, but has become one of the most important and essential fields in world science.
What is the way to learn artificial intelligence for beginners?
Of course, one of the first ways is to read a book; But how do you find the best AI books? What are their names? If you are also interested in this field and have such questions in mind, it is suggested that you stay with us until the end of the article.
Introduction of 7 artificial intelligence books
Despite the advancement of technology and the rapid growth of digital content such as images and videos, there are still people who prefer reading books. When we examine the lives of many successful people, we realize that they were more bookish than ordinary people, and perhaps this habit is one of the reasons for their superiority over others.
Artificial intelligence book “Build your own neural network”
If you are looking to read the best AI books, Make Your Own Neural Network can be a good reference for you to start learning AI. However, there are very few who can deeply understand and analyze how these neural networks work.
By reading the book “Make Your Own Neural Network”, you will feel the presence of a guide on a fun path. There are very simple ideas and examples in this book that are very effective in understanding how neural networks work. In a way that you can step into the world of artificial intelligence and data science with high school math literacy. However, the more you read this book, the more concepts you will learn about coding and building neural networks.
“Artificial Intelligence For Dummies”
If you are a reader, you have probably seen For Dummies books in reputable bookstores. These books, which have become famous with their yellow and black color theme, were published in the beginning of the last decade of the 20th century with the aim of familiarizing the general public with technology issues in America. These books quickly opened a special place among people due to their simple and understandable writing. So that today there are more than 250 million copies of the book collection of these publications all over the world.
The book Artificial Intelligence For Dummies is also one of the best artificial intelligence books that explains the science of artificial intelligence for you with a good and clear introduction. In this book, he talks about clear examples such as smart devices such as smart home, smart watch and anything that can be called a smart device.
If you are interested in the development of artificial intelligence and its influence, the book Artificial Intelligence for Beginners by Paul Muller and Luca Massarone can be the best choice for you. In this book, you will read basic definitions of artificial intelligence as well as simple explanations of algorithms, data, hardware.
The book of artificial intelligence engines
The best artificial intelligence books are the ones that explain the basic concepts to the audience. The book Artificial Intelligence Engines also provides an introduction to mathematics, which is essential for learning the logic of artificial intelligence algorithms. However, despite the many resources for artificial intelligence, this book can be considered one of the best steps to start learning artificial intelligence, especially for beginners.
In the introduction of the book “Artificial Intelligence Engines” written by James V. Stone, he talks about artificial intelligence algorithms in the form of neural networks. In the introduction of this book, he talks about deep neural networks to adaptive algorithms to master all kinds of human activities, object detection, cancer detection, speech recognition, robotic control, gaming industry, etc. and then draws detailed mathematical analyzes of them.
TensorFlow in 1 Day book
The TensorFlow book is one of the most famous and best artificial intelligence books on the market that helps you visualize and design a neural network. In this book, in addition to teaching complex topics, you will also learn about recurrent neural networks.
If you want to learn machine learning algorithms that use TensorFlow, you can read this book. These algorithms are deep learning, layered methods, Boston Tree, and wipe & deep. Also, if you want to read the topics not only academically, this book includes complete and professional exercises in the field of deep learning, as well as detailed examples.
