Why you should consider a machine learning data catalog

The phrase "data is an asset" is something of a corporate cliché. However, it is increasingly true as companies in industry after industry undergo programs to digitize their businesses. It is obvious that Netflix is a highly digital business with data at its heart, but what about more down-to-earth enterprises like manufacturing or energy? Even in the oil industry, the talk these days is of the digital oilfield where vast amounts of sensor data about the operation of an oil platform is captured and analyzed so field production can be tweaked and tuned in real time. In order to extract value from your data, though, you first have to know what you have and where it is, and this seemingly obvious starting point is a major hurdle in a large corporation.