Entrepreneurs are increasingly using artificial intelligence (AI) for business. Analysts from Sber and the Ministry of Economic Development conducte a study called “Entrepreneurs of Russia: Research Monitoring” and found that 45% of surveyd entrepreneurs use AI to solve work tasks.
We figure out how to use artificial intelligence for business and how it can already be useful in different areas of activity.
How does artificial intelligence work?
Artificial intelligence is the ability of a computer to process huge philippines phone number list amounts of information and find patterns in it. AI works by imitating human thinking. This allows it to perform assignd tasks: conduct analysis, generate ideas, prdict events.
For example, there are neural networks whose main task is text generation. The most famous example is ChatGPT, whose appearance made a lot of noise and “blew up” the Internet space. This is a chat bot that can generate a post, an SEO article with the necessary keywords or an essay on a given topic upon request. In order for the neural network to be able to write different types of texts, it was given the opportunity to what to do after submitting an appeal study classic novels, business literature, posts on social networks, and articles on websites. ChatGPT is constantly being traine to improve the capabilities of the neural network.
How AI is train
There are several approaches to training artificial intelligence, such as machine learning and expert systems. In machine learning, artificial intelligence is given data sets to analyze. The AI uses them to prdict the outcome.
Let’s say we nee to teach artificial intelligence to identify spam philippines numbers emails. To do this, machine learning uses three aspects:
- Volume of data. In our example, this is millions of emails.
- Signs or features that will help you understand the task. In our example, we need to teach AI to distinguish spam from regular emails. So, signs are spam words like “money,” “earn,” “win,” etc.
- An algorithm is a method for solving a problem. Algorithms help AI understand patterns, and the accuracy of the result depends on them. For example, there are algorithms for reinforcement learning or unsupervised learning.
Expert systems are mainly used for narrow areas of knowledge, for example, this is how AI is trained in medicine. For example, MYCIN is built on this training model – a system that can select antibacterial therapy for patients.
