10 Big Data Trends to Watch in 2019

We seek ever more data for a good reason: it's the commodity that fuels digital innovation. However, turning those huge data collections into actionable insight remains a difficult proposition. Organizations that find solutions to formidable data challenges will be better positioned to economically benefit from the fruits of digital innovation. The big idea behind big data analytics is fairly clear-cut: Find interesting patterns hidden in large amounts of data, train machine learning models to spot those patterns, and implement those models into production to automatically act upon them. However, the reality of putting that basic recipe into production is a lot harder than it looks.