So, as prediction gets cheaper, as prediction gets better, we’re going to do more and more and more prediction, and that prediction is gonna be done by machines. And so, when you think about the opportunities around machine prediction, a lot of them are driven by the availability of data, the ability to take an action based on a prediction, and whether the people in charge, the people supervising the machine, can use it well enough to take advantage and help the organization. AVI GOLDFARB: The way to think about it is this, these are prediction machines and so what does prediction do?