Uses of AI

It may sound like something from the future, but artificial intelligence (AI) is already heavily integrated in today’s society. AI has a huge effect on your life, whether you’re aware of it or not, and its influence is likely to grow in the coming years. Here are examples of AI that you’re probably already using:

Spotify’s Discover Weekly

Discover Weekly isn’t curated by humans but is run by intelligent machines that use a mix of recommendation algorithms and deep learning to determine what music you would like to hear. Basing its analysis on what you’ve listened to previously, Discover Weekly presents you with your very own personalised playlist – full of songs the machine thinks you’re likely to enjoy.

Amazon’s Shopping Recommendations

Amazon’s product catalogue is far larger than anyone’s purchase history, which presents its self as a challenge when it comes to providing product recommendations. In response, Amazon designed a neural network that can make the best possible recommendations, even with minimal training data. Due to Amazon having to produce calculations on networks with hundreds of thousands of nodes – they developed a way to spread the work across multiple processors in a single server.

Apple’s Siri

Siri is probably the most popular personal assistant on the planet. The friendly female voice-activated assistant interacts using machine-learning technology, namely natural language processing, to understand what you’re asking and how to respond.

Recommendations on Netflix

Netflix needs no introduction – the on-demand content platform uses predictive technology to offer recommendations on the basis of your historic reactions, interests, choices and viewing behaviour. The technology crunches thousands of data points in order to determine the best recommendations.

Nest – The Smart Home

Nest was recently acquired by Google for $3.2 billion – probably due to their advanced AI technology. The company build thermostats that use behavioural algorithms to save energy. Their technology will not only learn what temperature you like but it will also start to recognise patterns which is uses to determine when you will be back home or when you’re likely to leave. No longer do you need to manually set the thermostat, just let their built in AI do the job for you.

Amazon’s Alexa

Like Siri, Alexa is a PA powered by AI. She lives in the cloud and is always listening to you, through a number of available physical devices that use her as their brain. These include the Amazon Echo and the Echo Dot. Again, Alexa uses NLP technology to understand your questions.

Google Search Results

Google uses RankBrain – a machine learning technology – to analyse written and verbal search queries. It goes beyond returning exact keywords and phrases; it compares each query to other, similar queries to return the ones that are most likely to be what you’re trying to find, including more relevant ad results.


No we’re not talking about the jewellery brand but the music streaming service. Pandora’s AI is one of the most advanced examples out there today. They call it their musical DNA – each song is first manually analysed by a team of professional musicians based on 400 different variables, this is in then fed into the algorithm which has an incredible track record for recommending songs that would otherwise go unnoticed but that people inherently love.

Tesla’s Driverless Cars

AI is not restricted to just smartphones and web technologies. It is also creeping into the automotive industry. Tesla is leading the pack at the moment when it comes to AI – they are progressing at a rapid pace to deliver a driverless car – something which only a few years ago was limited to the movies.

Facebook Image Recognition

Faceboook uses artificial neural networks (ANN) with more than 120 million parameters to automatically tag people in uploaded photos. The network was trained using a dataset of more than four million facial images and is now at a 97% accuracy rate!