The robots have already arrived
Driving this predictive technology trend is something known as machine learning, a type of artificial intelligence which provides computers with the ability to learn without being programmed. Computers can ingest vast amounts of data, learn what the data means and recommend next steps – so humans don’t have to. From chatbots on retail sites to autocorrect on iPhones, it is already a big part of daily life, and most people have never heard of it.
In the media space for example, machine learning is already being employed on both the editorial and advertising side of operations. It was revealed recently that the Associated Press are already using Machine Learning technology and natural language generation to write news stories. Meanwhile advertisers are exploring multiple ways of tailoring messaging based on reader behaviour and collated first party data.
In a blog post entitled “What To Do With All That Data” we published in September, we highlighted several technology companies within the book publishing space who are finding new and innovative ways to use machine learning to do everything from providing a better way to search text beyond metadata to adapting online learning systems to the skills of individual users. While this is very much in its infancy, 2016 was the year we began to get an idea of how machine learning may be employed to both cure our big data headaches and help us get closer to readers.
Missed part 1? Find it here
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