How to work like a disrupter

Data has always been a problem. Data scientists still spend a lot of time manipulating data. And now that you have more – and more complex – data, how will you deal with it? Intelligent data preparation uses AI algorithms to recognize patterns in data, understand what data belongs together and provide context around data. Right now, training a data set is usually a manual process that requires a lot of labeling.