Introduction In most applications we now use, data is retrieved by the source code of the application and is then used to make decisions. The application is ultimately affected by the data, but source code determines how the application performs, how it does its work, and how the data is used. But today, in the world of AI and machine learning, data has a new role – becoming essentially the source code for machine- driven insight. With AI and machine learning, the data is the core of what fuels the algorithm and drives results. Without a significant quantity of good quality data related to the problem, it’s impossible to create a useful model. The algorithms find signals in the data that are then used to make predictions and take actions. If the model is trained on different da

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