Arising the most popular question, what is the purpose of introducing AI concepts to the world? Well, Artificial Intelligence is characterized as the ability of a machine or digital computer to perform tasks that are capable of doing things that intelligent humans do.
How fast do you think the growth of AI will be in 2020? Well, according to the survey, as of 2019, the global artificial intelligence market size was estimated at around 39.9 billion dollars, and it is expected that from 2020 to 2027, the rate will be around 42.2%.
Where to find leading AI companies, thinking over, it brought us into the conclusion that it aids in the industrial revolution, starting from manufacturing robots, smart assistants, proactive healthcare management, disease mapping, inter-team chat tools, to social media monitoring, and so on.
As per the news overviews, Grand View Research states that it was calculated that the AI industry worth would be approximately 390.9 billion dollars by the year 2025.
What is the major AI behavior difference between the past and the modern industrial revolution?
Compared to ancient intelligence, scientists, as well as customers, are sure that the AI and people bond have progressed a lot of popularity for the past decades, as they tend to have an improvement in language, automation, and trust between the machines and humans. So their way, people started to find leading AI companies to cope with future generations competently.
A fun fact for easy understanding of the concept: Google Assistant in everyone’s smartphone is considered to be the smartest AI assistant as of the 20th century.
- Language:
Here, we will talk about the programming language. Python is so far the most popular programming language used in artificial intelligence to date. Other than Python, C++, Java, Lisp, Prolog, and R programming languages are best to use for AI.
In contrast, the AI revolution tends to adapt to the NLP (natural language processing) technology, which uses computational linguistics to understand the human language text.
This technology NLP allows AI machines to learn, analyze, and understand human language in an accurate way, including humans’ emotions, dialects, expression, etc.
What does NLP do?
It advances AI by updating numerical data, understanding, and predicting the human’s mentality. So this way, scientists had made the AI machines establishment in the world, starting from services like customer care to finance, education.
A good example of a good NLP AI model is a Chatbot. Thereupon, this factor makes one of the reasons for people to find leading AI companies.
- Automation:
What happens when automation and AI are combined? The answer would be the introduction of a new tool called Intelligent Process Automation, IPA.
What do you mean by IPA? It is a tool that allows the users to gain benefits of automation as well as AI, including increased speed, efficiency, time-savings, and AI’s proficiency to scale with its processing power and so.
In 2019, scientists had introduced the first technology that facilitates the IPA, named Auto AI, making it a successful invention of the year.
- Trust:
Our first impression about AI pops up with a question: can we trust it?
Certainly, the customers’ review AI, claiming that they are fair, safe, and reliable. Moreover, the survey states that less than 20% of customers agreed that AI has the potential to enhance the customer service of businesses, whereas others argue they felt good working with AI models.
The trust issues with AI and customers begin with two things: one is the way the personal data are handled and the results brought by the AI algorithm.
In the industrial revolution, these automated manufacturing and expanding common-language trade possibilities made it easy to build a trusty bond between customers and AI models.
Taking online shopping as an example, there is no need for a face to face meeting between a customer and the producer, but the trust in the quality of the product comes out to be powerful. Thereby the trademark becomes the bond between the customers and the industries.
Conclusion:
Currently, AI is used in the fourth type of industrial revolution that is Industry 4.0. This helps in giving a huge boost to the revolution. The influence of AI technology is viewed in many industries, including transportation, education, manufacturing, online shopping, media, healthcare, government, banking, and finance, etc. We conclude this article making sure that this made you generate zest to existence as well as knowledge regarding AI in the industrial revolution. In the bargain your urge to find leading AI industries.
