It seems, machine learning, and its closely related cousins, artificial intelligence (AI), deep learning, predictive and prescriptive analytics and automation, is trending, big time. From Google’s DeepMind taking on and beating the world’s best Go player to Audi’s self-driving RS7 racing all comers, stories about machines encroaching on human tasks is all the rage. It makes for a great story too, because the promise of innovation juxtaposes well with the fear of human obsolescence. In fact, some of the most closely followed and riveting discussions at the 2016 Davos World Economic Forum focused on the state of AI and its impact on the future of work.
If you’re a company that is doing anything remotely cool with machine learning and its related cousins, either you need to get yourself in the news cycle, or your competitor will be there instead. Take a look at the chart we compiled below. The total number of articles on machine learning has exploded over the past year.
Our recent analysis shows that, among the leading technology media, IDG, Wired, TechCrunch and MIT Technology Review are churning out the most engaging articles on the topic. Meaning, they write prolifically about machine learning and AI, and their readers are engaged with the content, commenting on and sharing articles more than other publications.
MIT Technology Review, for example, writes regularly about how machine learning is reinventing the way we live, work and play. TechCrunch, by contrast, goes deeper into the technology innovation itself and writes about how companies like Google, Microsoft and smart startups are launching new applications or open sourcing existing technologies.
Beyond these top four media outlets, the Forbes contributing bloggers, Business Insider, Silicon Angle, VentureBeat, Inside BigData and Datanami are also writing pretty regularly on this and related topics. In the last six months, there were 51 percent more articles about machine learning in major technology and business media than the six months prior – the trend will likely continue over the next six months. The window of opportunity to insert your story and point of view in the exploding machine learning conversation across media, blogs and social is massive right now.
One of our clients, CrowdFlower recently contributed a thought leadership piece in TechCrunch on “how real businesses are using machine learning” – the article has more than 4,200 shares on social media. In late March, we worked with long-time tech reporter Rob Hof on a great piece he wrote about how Pinterest uses CrowdFlower in MIT Technology Review.
Check out our CrowdFlower case study to learn more about how we are exactly helping them tell their unique machine learning story. Or, contact us directly if you’d like to talk about how you can be included in stories like these.
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