While the general idea of the internet was created in the 1960s, the internet that we know today, came into existence with Tim Berners-Lee in the 1990s. Since then, the internet has only accelerated in its growth and use, giving billions of individuals access to more than 50 Zettabytes of data. Do you know how large 1 zettabyte is? To help, we will convert this into a more familiar term, gigabyte. 1 zettabyte is equal to 9313225746715.48 gigabytes. That’s a lot! This amount of data has given way to almost 2 billion websites of which 400 million are active, 4.5 billion active internet users, across 22 billion connected devices. So, how can businesses benefit from this amount of data in a quick and efficient manner and what will that look like in 2020? Through a subset of artificial intelligence called machine learning.
Many businesses are choosing to explore how to implement machine learning services, which is a subset of artificial intelligence, because it gives businesses a way to analyze and learn from data through an autonomous method. Here is how it works.
Machine learning is the process used to teach a computer system how to make accurate predictions based on data that is fed to it. A computer system will use algorithms that can learn from the data without relying on any rule-based programming. This type of system is already in use today and is probably something you’ve interacted with, without even realizing it. For instance, Netflix uses machine learning to recommend content to you, Instagram uses it to determine which newsfeed posts you will see, and Duolingo uses it to power its language learning application.
It is likely that you’ve come across these two terms being used interchangeably, despite the fact that they have distinct differences to one another. The easiest way to define the difference between them is what their end goal is.
While artificial intelligence attempts to have computers mimic human intelligence, machine learning specifically focuses on building machines that can analyze data, learn from the data, and predict probabilities without human interference. To put it simply, artificial intelligence leads to intelligence and is used to increase the likelihood of finding an optimal solution, while machine learning, focuses on increasing the accuracy of analyzing and learning from data to develop new insights through an autonomous vehicle.
Machine learning services can help businesses use the huge amounts of data that they have collected in order to develop and gain insight into actionable predictions for fostering growth and finding investment opportunities and resources. Artificial intelligence can help companies increase their efficiency, boost sales, and improve customer relationships, while machine learning services, can take data from these categories, learn from it, and give businesses a pathway to more profit and better customer understanding. Here are 4 machine learning trends that businesses should watch out for in 2020.
The artificial intelligence market has already grown to be a multi-billion-dollar industry, but with the advancement of machine learning throughout 2020, businesses can now use it to become smarter with their data. This will help businesses boost efficiency, increase worker safety, and uncover insights into outcomes that may have never been on the table in the first place.