Machine learning has been on the news radar for some time now. Just last week, Forbes published an article that explains how IBM researchers are improving ML by exploring the absence of certain elements.

Also, companies like Google are investing in artificial intelligence and machine learning courses — some of them are even free. This way, people have more accessibility to this growing topic not only in the tech field, but in society as a whole.

As of 2020, Machine learning is not a futuristic technology anymore, but a part of our daily lives and of the digital transformation strategies of many companies: about half of US companies already explore Machine Learning in their business in some level, according to an Accenture article. How, you ask? Keep reading and find out!

What is machine learning?

Before we jump in the subject, it’s important we clarify the concept of this technology.

Machine Learning is an application of artificial intelligence (AI) that enables systems to automatically learn and improve form experience, without it being programmed.

The difference between machine learning and artificial intelligence

Many confuse these two concepts. So, in order to clarify things even more, let’s settle the differences between both technologies:

  • Artificial Intelligence (AI) is the ability machines have to get tasks done, such as autonomous cars;
  • Machine Learning (ML), on the other hand, is, as we pointed out, the ability machines have to learn for themselves through AI.

Both AI and ML are very helpful technologies used in our daily lives. And both can apply to your business, no matter your industry.

How can machine learning improve your business?

Some might think ML is a technology applied only in certain fields, such as engineering, agriculture, aviation, and so on. But the truth is, ML can be very resourceful in many different industries.

According to an article on Entrepreneur, ML provides better data quality and can help decision-makers in business take their calls faster, with higher precision. It’s also a amazing tool to provide customer behavior insights, since the cycle of report generation and KPI analysis will continue to atomize itself. This translates in practical results for companies: according to a McKinsey study, ML can yield up to 40% improvements in company productivity.

This brings a positive effect on human labor. Employees can embrace more challenging jobs, such as: project managing, product development, user experience, and others.

How can you implement machine learning on your business?

Machine learning is a software engineer expertise. Consider contracting a qualified company to help identify your necessities and develop custom solutions to your business.

So, if you have an interest in knowing more about Poatek, you can access our site.