From the course: AI Solution Design Patterns: Data, Model Training, and Application Architectures
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Data-centric design patterns overview
From the course: AI Solution Design Patterns: Data, Model Training, and Application Architectures
Data-centric design patterns overview
- When we design an AI solution, one of the first things we need to focus on is the data we need. We want to know what type of data we need, how much of it we need, and what we'll need to do with the data in order to train and use our AI systems so that we can fulfill our business requirements. This first set of videos covers a set of common systems and platforms that we can use to access, organize, and process the type of data that an AI solution requires. We'll talk about each of these environments individually, as well as how they are commonly used together. The design patterns we'll be referencing correspond to these systems and platforms. For each environment, we'll take a look at the primary features and capabilities as they pertain specifically to AI systems. We'll also highlight how AI systems commonly connect to and interact with each environment. We'll also explore how some of these design patterns can encompass others. Each of these data-centric patterns represents a system…
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