Artificial intelligence

Artificial intelligence has been a game changer for human civilization. The ultimate goal of AI is to outsource human intelligence to machines and provide humans with a better, relaxed life. The human brain is the most complicated thing in the universe. No wonder replicating it is so hard.

Even though the concept of artificial intelligence is not new, the development of such systems for general use came only after the 2000s. Artificial intelligence requires tremendous computational power. With this advancement in computational power, people can now use it to develop artificially intelligent systems with ease. Even though a super AI is still a long way to go, people use various AI systems for multiple jobs. Everything in our lives has been affected by some form of AI, and thanks to them, technologies such as self-driving cars are possible.

Enrolling in the best AI course will significantly impact someone looking to upgrade their skill set and become more relevant in a volatile job market. AI is already replacing jobs and will continue to do so in the future. At Least, it can not replace the position of an AI expert for the foreseeable future. This article will talk about the top 5 uses of AI in 2022.

Top 5 uses of AI in today’s world

  • Virtual assistants

Modern virtual assistants such as Google Assistant, Siri and Alexa are only made possible through the implementation of AI-based systems. These applications use natural language processing. It is a form of AI, and it is used for understanding text and voice commands like humans. By using natural language processing, virtual assistants have become capable of recognizing the user’s voice. They only activate when they hear commands from the users and not from somebody else. As a result, virtual assistants can do simple tasks, such as buying tickets, making reservations, calling or texting a number, taking reminders & alarms, working as a voice-activated calculator and holding conversations with the user.

  • Video and music streaming websites

Have you ever wondered how video and music streaming websites suggest content that a user might like? They manage to do so by using data generated by the users. These websites will ask simple questions. For example, Spotify, a popular music stream website, will take a survey when a new user signs up. It will ask which language the user will like to listen to songs, what genres they prefer and a list of their favourite artists. They will also gather some other user data, such as the user’s age and location. The algorithm will also look at data generated by other users with the same taste, age and geographical location. These data points will then be run through machine learning algorithms to curate a suggestion list specific to the user. All the major video and music streaming platforms, such as Spotify, Youtube, Netflix and Amazon prime video, use machine learning algorithms. 

  • E-commerce websites

E-commerce websites also use machine learning in the same way as video and music streaming platforms. For example, E-commerce companies want to show certain products on the landing page that will have a higher conversion ratio. So they use machine learning algorithms and run user-generated data through them.

  • Self-driving cars

Self-driving cars use advanced AI systems. These systems are developed through trial & error and incorporate human movement patterns. In addition, self-driving vehicles such as Teslas are loaded with sensors for collecting real-time data. This data is immediately considered and compared with historical data to find patterns.

  • Data Analytics

Machine learning and deep learning algorithms are an integral part of data analytics. Data analysts will incorporate these algorithms for advanced forms of data analysis. The two most prominent uses of AI in data analytics are predictive and prescriptive analysis. The best AI course will include classes on the use of AI in data analytics.

In predictive analysis, machine learning is used to generate accurate predictions about the possible future outcome of a company. Businesses need to know the future possibilities as it has the potential to warn the company about lurking dangers in the future. It also helps set company goals and allows them to stay focused on achieving these goals.

In prescriptive analysis, an advanced form of machine learning known as deep learning is used. As the name suggests, prescriptive analysis is done to get actionable insights from the analysis process. Deep learning is capable of finding correlations between seemingly unrelated data sets without much human intervention. It can suggest actions that have the potential to somehow improve a company’s productivity and efficiency.


The use of AI is only going to increase in the foreseeable future. Therefore, enrolling in the best AI course can profoundly impact someone’s career and open up vast opportunities for them.

By Manali