How will data science change in 2016?

2015 was a good year for data science. A cursory glance at any tech jobs board reveals the sheer breadth of companies looking for data science expertise. Technical terms such as machine learning are slowly entering the public consciousness. Many people still don’t realise how much data science touches their everyday lives, from Amazon recommendations to the algorithms powering their Uber app. With adoption of data science up across most business verticals, it’s natural to wonder how the sector will develop in 2016. My gut feeling is that it will be the year data science proves its worth on a spectacular scale. Many of the systems in financial institutions are underpinned by data science. Indeed, the financial industry is one of the pioneers of data science techniques. Nevertheless, the adoption…


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