The need for construction is more significant than ever. The projected 70% increase in urban population over the next 15 years will require many new buildings. Although the European Union anticipates that such a need will arise, builders still do not see this opportunity. So if you want to enter the construction industry or any other profession in this field, I have good news for you -- you are living in a hellish boom time! Unfortunately, this boom will lead to a climate catastrophe on a hitherto unknown scale.

The need for construction is more significant than ever. The projected 70% increase in urban population over the next 15 years will require many new buildings.

During the last few years or so more people have been been jumping on the artificial intelligence bandwagon and talking about its potential influence on the planet as a whole. The world is much closer to a great shift, now more than ever, and 2018 will bring us one step closer to that transformation. This year we will continue to hear about revolutionary tendencies, and bear witness to loud headlines about AI, machine learning and deep learning. Some of them will claim that machines are likely to take our jobs and even destroy particular professions. Such a cyberpunk future is fair bit away, but those fears are nothing in comparison with the progress and positive change we are all witnessing at the moment.

Search Beyond is a forum that brings together the latest discussion from some of the UK's most innovative independent digital agencies. A handful of senior practitioners meet on a quarterly basis to debate a topic facing the digital marketing industry, with the insights and output appearing here on Think with Google. In our second Search Beyond session, we wanted to hear how independent agencies are preparing to face down increasing complexities in the digital landscape by adopting machine learning. The participants launched into the discussion by revealing how they're already putting these tools to use in their own work on behalf of clients today. "An element of automation is machine learning, so that is a lot of what we do", said Maria Yiangou, Group Account Director at All Response Media.

If you don't understand machine learning (ML), it's time to give yourself a crash course--especially as it relates to marketing. Just as SEO, programmatic buying, and other new technologies have revolutionized certain aspects of the marketing industry, ML figures to change the whole process, from how we handle simple marketing tasks to how we approach the larger task of telling brand stories. First, though, it's important to dispel common misunderstandings. Instead of developing the cognitive capabilities to rival or even surpass human intellect, ML is more about optimizing certain problem-solving processes. ML, in other words, is just a very advanced tool.

If you don't understand machine learning (ML), it's time to give yourself a crash course--especially as it relates to marketing. Just as SEO, programmatic buying, and other new technologies have revolutionized certain aspects of the marketing industry, ML figures to change the whole process, from how we handle simple marketing tasks to how we approach the larger task of telling brand stories. First, though, it's important to dispel common misunderstandings. Instead of developing the cognitive capabilities to rival or even surpass human intellect, ML is more about optimizing certain problem-solving processes. ML, in other words, is just a very advanced tool.

If you don't understand machine learning (ML), it's time to give yourself a crash course--especially as it relates to marketing. Just as SEO, programmatic buying, and other new technologies have revolutionized certain aspects of the marketing industry, ML figures to change the whole process, from how we handle simple marketing tasks to how we approach the larger task of telling brand stories. First, though, it's important to dispel common misunderstandings. Instead of developing the cognitive capabilities to rival or even surpass human intellect, ML is more about optimizing certain problem-solving processes. ML, in other words, is just a very advanced tool.