Continuing our discussion from my last blog post, we will finish the list of new and emerging technology out there in the world at this very moment.
You may have heard the term machine learning before, and are likely unfamiliar with what machine learning actually is. As defined by expertsystem.com, machine learning is a branch of artificial intelligence (AI) that aims to give a program/system the ability to learn and improve from experience without actually being programmed by an individual. It involves programming the the original software to be able to recognize patterns and therefore make better decisions in the future. This is achieved by giving the system example information, and instructions in its coding.
One of the most common examples of machine learning technology that is being used in the world is Adobe Photoshop. Photoshop uses machine learning to find faces in images, analyze the faces and find “landmarks” such as eyebrows, lips, and eyes to determine the position of the face and alter the facial expression of the person, all while not making the image an absolute mess to look at.
Chatbots have been around for quite a while, and are essentially an AI system developed to talk with the user as if it were another human being. These programs started quite a long time ago with sites called jabberwacky, and cleverbot letting you have a conversation with this bot. The early iterations of chatbots were not very good at making it seem like you were having an actual conversation. They would often spout nonsense and seem to just babble. As they’ve developed chatbots have started to be used by businesses to interact with their customers who are visiting their websites and need assistance. They are generally used to help guide the customer through the website and start email exchanges for support tickets for products. Starbucks has its own chatbot that syncs with it’s mobile app and lets you place your order, and customize it through a text chat with their bot. The aim of chatbots for the future is for them to act as a concierge, guiding the user to where they need, as well as reminding them when they need to restock on certain products, and answering their questions.
Facial recognition is known to be used predominantly in the security industry, but it is being used more and more in other industries. One industry being hospitality. Expedia has partnered with the Hawaii Tourism Authority, and with the viewer’s permission, is using facial recognition software to see which images and videos (showing various different activities on the Hawaii Islands) on their site evoke the best reactions by detecting by analyzing the movements in their face to determine the emotions of the viewer.
All in all, technology is making great strides forward and we should all be excited with the potential and possibilities that lie ahead for technology.