From the course: AI Pricing and ROI: A Technical Breakdown

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Data movement and storage

Data movement and storage

From the course: AI Pricing and ROI: A Technical Breakdown

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Data movement and storage

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- [Instructor] Let's talk about the direct data costs when training AI models. There are different types of data costs. First, we need to make sure that we're collecting the right type of data. Typically, we've already built transactional systems to handle our application layer, but there are also additional types of data that we might have, for example, logging data, customer profile data in a CDP, et cetera. Now, those core systems might be outside the purview of an AI organization, but we still need to make sure that we're collecting this data and storing it appropriately. The next type of cost is a transformation process. This includes something like ETL or ELT, which stands for Extract, Transform, Load, or Extract, Load, Transform. The reason that we need these processes is we need to make sure that our data sets get converted from our transactional or application layers into the format that we need that is ML…

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