Lauren is a content marketing professional with experience in digital and social marketing. As a Content Marketing Specialist at Interactions, she assists with content creation and social media strategy. Lauren holds a BA in Journalism from Northeastern University.
Kiwi.com, a European-based flight search engine company, was looking for a new customer care solution that would make traveling a breeze for customers around the world. They are looking forward to implementing an Interactions Intelligent Virtual Assistant for their customer care needs.
Whether we realize it or not, we encounter machine learning on a daily basis. Aside from in our day-to-day lives, industries from retail to government and more are depending on machine learning to get things done. Below is a short list of how different industries are utilizing machine learning.
The terms ‘artificial intelligence’ and ‘machine learning’ are often used in conjunction with one another to describe leading-edge technologies. But while the two are interconnected, machine learning and AI are different. It’s perhaps easiest to think of machine learning as one of the underlying technologies of AI.
When it comes to machine learning, one size does not fit all. Different algorithms, and different techniques within those algorithms, are used to build a model that is application appropriate. But how do you determine which technique is best? Because machine learning is not a concrete set of algorithms used across the board, it depends on what you are trying to achieve.
At Interactions, we talk a lot about machine learning, but its definition and use are often misconstrued. Whether we know it or not, we encounter some type of machine learning on a daily basis, making it increasingly important to understand what it is, how it works, and how it will affect our future.