Artificial intelligence has penetrated almost every sector of society and business, especially machine learning (ML) technology. The science of data is becoming more advanced and, with it, the use cases of machine learning.

If you are not a tech geek or a data scientist, you may not be familiar with what machine learning is. In simple terms, these are machines that can process information and make predictions based on data using algorithms. Read on for five machine learning use cases.

1. Marketing digital

Digital marketing has become one of the most powerful tools for small businesses around the world. It’s affordable and often as effective as TV commercials and celebrity endorsements. Machine learning algorithms play an important role in building successful marketing campaigns.

Digital marketers use artificial intelligence to extract customer information from various data points and create targeted ads based on the products and services they use the most. They even use predictive analytics to predict future market trends and prepare accordingly.

2. Biosecurity of deep learning

People seem to be glued to their smartphones these days, and for good reason. Mobile devices tend to have people’s most important and sensitive data, so losing a phone can be costly, especially if it falls into the wrong hands. However, deep learning technology enables biosecurity measures for smartphones, such as facial recognition and fingerprinting.

Cybersecurity is one of the biggest concerns in the world today, so it is to be expected that deep learning will be one of the disciplines that the main machine learning programs in the country focus on the most. In other words, there is a lot of room for professional growth in the field of computer science.

3. Streaming services

Last year, 2020, was one of the toughest in recent history. We had to learn new skills like social distancing, shelter-in-place, and working from home. It was a rough year indeed, but streaming services like Netflix and Amazon Prime Video helped us get through it.

One of the great things about these streaming services is that they use machine learning technology to personalize the customer experience. The more you use the streaming service, the better the algorithm will know you. Over time, he begins to categorize movies and TV shows based on what you watch the most.

4. Virtual assistants

One of the best examples of artificial intelligence in our daily lives are virtual assistants. It seems like yesterday that Alexa left an Amazon Distribution Center and entered our hearts, and already, it would be difficult to imagine a world without the ingenious virtual assistant.

Virtual assistants like Alexa use machine learning to recognize natural speech patterns and find results based on spoken demands. Heck, you can even have a simple conversation with your virtual assistant as they are always ready with a song to cheer you up, a cheesy joke, fun facts, and even opinions on everything from food to music.

5. Dynamic prices

It didn’t take long for Uber and Lyft to disrupt the transportation sector. It’s faster, easier, and most importantly, cheaper to take an Uber across town than a taxi. However, if you have already used a shared transport service, you may have noticed that sometimes you pay a different price to go to the same place.

The reason Uber and Lyft often charge different amounts for the same ride is that they use machine learning algorithms to set dynamic prices. They use data such as time of day, traffic flow, mileage, and other factors to determine the price of each trip.

Machine learning technology is so ingrained in our world today that you just have to open your eyes and look around to see it at work. Your favorite mobile apps, social media platforms, and streaming platforms use machine learning algorithms to deliver an optimal customer experience. It will be exciting to see what new ways computer scientists use artificial intelligence.

Source: Plato Data Intelligence: PlatoData.io