With the development of artificial intelligence still being in its infancy, definitions of the word flourishes across various industries. As they say, “a rose by any other name would smell as sweet”, and the definitions of what AI really is, are many.
In a recent article published by Forbes writer, R. L. Adams states that what companies are calling AI today, is not necessarily so. Adams writes that despite any piece of software has AI, due to an algorithm that responds based on its pre-defined multi-faceted input, or a its user behaviour, it is not necessarily AI.
Adams explains that a true artificially-intelligent system is a system that is able to learn without any human influence, such as Google’s DeepMind. “True A.I. can improve on past iterations, getting smarter and more aware, allowing it to enhance its capabilities and its knowledge”.
He explains that this type of technology, that Hollywood depicts, is still far away. “Today, we’re talking about the pseudo-A.I. technologies that are driving much of our voice and non-voice based interactions with the machines — the machine-learning phase of the Digital Age”, Adams writes.
Despite all of the giants in the tech-world now adopting AI, the majority of the public is still confused about where and how AI is applied, hence why Adam has compiled a list of applications of AI that is in use today. Because, after all, today machine learning and natural language processing is simply something that is applied to enhance or simplify tasks that humans have been doing for years.
Siri is probably the most common example of where we can see AI being put to practice today. Anyone with an iPhone should be familiar with the concept, but for those who are not – Siri is the voice-activated computer for iPhone that can assist you with anything from predicting the weather for the next days, to telling you what time it is in Vancouver right now. Siri is powered by machine learning that learns as she goes along, eventually improving the accuracy in her services.
Amazon’s Alexa is another voice-activated personal assistant, but her use-range is not limited to your phone – she can be used in your home. Alexa is able to decipher speech from anywhere in a room, and she can assist us dig through the Internet for any information, help us with our shopping, scheduling appointments, and a million other things.
Adams writes that if you don’t own a Tesla, you don’t know what you’re missing, as he deems it the best car ever made. The reason for this is not only for its accolades, but due to its predictive capabilities, self-driving features and “sheer technological coolness”, as he writes. He explains that anyone interested in technology should own a Tesla, as these are cars that will only continue to get smarter over the years.
“Originally co-founded by CEO, Joshua Feast and, Dr. Sandy Pentland, Cogito is quite possibly one of the most powerful examples of behavioral adaptation to improve the emotional intelligence of customer support representatives that exists on the market today”, Adams writes. Cogito is a combination of machine learning and behavioural science that works to improve customers interacrtion for phone professionals, improving millions of voice calls on a daily basis.
Boxever is machine learning applied to the travelling industry. Co-founded by CEO Dave O’Flanagan, the company works towards improving customer service by the help of machine learning, in order to bring them experiences that delight the customers along the way. “It’s through machine learning and the usage of A.I. that the company has dominated the playing field, helping its customers to find new ways to engage their clients in their travel journeys”, Adams writes.
6: John Paul
John Paul is a highly-esteemed luxury travel concierge company founded by David Amsellem, and is another example of AI used to improve customer interactions, understanding and knowing their desires on a more acute level. John Paul assists the numerous companies’ concierge services for millions of customers globally, assisting some of the biggest names such as VISA, Orange and Air France.
To most people it might seem surprising that Amazon’s ability to predict what you’re interested in, is due to AI. By applying algorithms that are refined each year, the company’s ability to predict what its customers are interested in, has improved significantly. This is due to information gathered by analysing their online purchasing patterns.
This technology goes hand-in-hand with Amazon’s ability to predict what you like to buy – Netflix just uses it to predict what you would like to watch. It analyses billions of records in order to provide its users with suggestions to films that you might like.
According to Adams, Pandora’s http://www.pandora.com/ AI could quite possibly be one of the most revolutionary techs that exists today, being referred to as their musical DNA. “Based on 400 musical characteristics, each song is first manually analysed by a team of professional musicians based on this criteria, and the system has an incredible track record for recommending songs that would otherwise go unnoticed but that people inherently love”, Adams explains.
This might be the most surprising of them all – thermostats apply AI to adjust the temperature in your home, based on your personal needs. Nest is a learning thermostat that was acquired by Google in January 2014, and it uses behavioural algorithms to predictively learn from your heating and cooling needs.
The article was first published at: http://www.forbes.com/sites/robertadams/2017/01/10/10-powerful-examples-of-artificial-intelligence-in-use-today/2/#76a007041697