Seven Best Examples of AI and Machine Learning in Practice

We live in the cutting-edge era, where everything happens on the fingerprint. Are you thinking about improving the learning opportunities for your career in the IT field? One of the growing sectors right now is AI and Machine Learning. Hence, if you are considering exploring the real-time and best examples of AI and machine learning, this is the right place to fetch more information. Adding the value of AI in a business means you are going to give an extraordinary advantage to high-end technology. Due to massive victory, AI and Machine Learning in Chicago have become the trend among IT professionals.

 

There are some fantastic and typical examples of AI and Machine Learning in Practice that every technical and non-technical person must know. Artificial intelligence has seen a new revolution in the modern world. After all, Machine Learning makes our tasks more accessible and more effective consistently.

 

Why AI and Machine Learning are Important in Businesses?

Automating tasks is essential for organizations because it makes the companies independent to achieve accuracy in deep learning. What can ML do in the day-to-day operations of the organizations? It is an exciting question behind us, but you must know the answer because ML can work on accurate results and automate any analytical model building to drive the best results. You can

 

1). Google:

When it comes to knowing the best examples of AI and Machine Learning, we must remember the name of Google. It is one of the big companies in the world that was set up based on AI and data science. Google is highlighting ML products in various services such as Google Assistant, Gmail, Photos, etc. It is the first and foremost AI and Machine Learning in Practice example that you should know.

 

2). Siri & Cortana

We live in the digital era, where everything is done at the fingertips and done on a voice basis. It would help if you spelled anything, and the result will come to your place. Siri and Cortana are the two voice-based applications that work on the machine learning methodology. These are the voice recognition systems-based applications that work under ML principles.

Nowadays, these two applications are not only in the MAC system but also in windows. You can open the files easily by using your voice and giving a command in the computer system—no need to use the typical search formula or by typing and opening multiple files.

 

3). Netflix:

Web series, movies, and TV shows are top-rated nowadays among users. Everyone wants to enjoy different shows in one place. Netflix is a mobile application that works on a combination of AI and Machine Learning. ML is not limited to day-to-day data management but works in the multi-media industry. The app shows the results according to the user’s interest by tracking the watching history. Netflix is the ultimate search engine for watching different movies, web series, and all.

 

4). Spotify:

Music is the primary activity of our daily life because everyone wants to listen to it in their free time. Can you imagine your life without music? We know the answer. Thus, one more example of AI and Machine Learning in Chicago is Spotify. It is a music app that defines and develops based on ML practice.

 

Once you start playing the song on Spotify, then the application will regenerate the ideas of random songs related to taste. Is this amazing or not? We know the fact that this is amazing because you don’t need to select and play the different songs again and again. Due to data science and AI technology, the application will work according to the taste of users. Spotify is quite popular nowadays because it is a fantastic music-listening application with excellent sound quality.

 

5). Uber:

Tech Giants depend on Machine Learning Fundamental. Cab Industry is also 99% dependent on this technology. Hence, using ML-driven features to operate the real-time cab and location tracking services is possible. Uber is an excellent example of ML methodology. Uber and other taxi booking companies are using the ML algorithm because it helps them to ensure customer safety and track cab driver applications. Ride-sharing apps depend on ML and AI because both are the central aspect of running these applications smoothly.

 

6). Banking and Finance Apps:

On the other hand, banking and finance apps view the bank statement, transfer money and complete financial transactions. Every bank has its application for performing financial and banking transactions. These applications are also ideal examples of machine learning and artificial intelligence.

 

7). Social Network Sites:

Social Networking Sites are one of Chicago’s best examples of AI and Machine Learning. These are famous sites such as Facebook, Instagram, YouTube, etc. It is the best example of Artificial Intelligence. Millions of people are connecting due to these social networking sites.

 

Wrap Up:

Hence, these are the things that you need to know about the best examples of AI and Machine Learning. Both are the future of businesses, and we can’t imagine our day-to-day life and various operations without the backbone of ML and AI. This article is helpful for you to understand the things related to this topic because it ensures the importance of ML for career growth. As an IT professional or student, you must pursue the right course and certification program to boost your career, and Artificial Intelligence is the top requirement of the industry nowadays.