From the course: Advanced Data Processing: Batch, Real-Time, and Cloud Architectures for AI
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Batch AI architecture example: Problem
From the course: Advanced Data Processing: Batch, Real-Time, and Cloud Architectures for AI
Batch AI architecture example: Problem
- [Instructor] Let's now implement a batch AI architecture for the customer segmentation use case. In this video, we will discuss the use case we are trying to build an architecture for. In the next video, we will design the architecture. In customer segmentation, we want to classify customers based on the amount of business they bring in and their future lifetime value. For doing this, we use data collected from their marketing responses, their buying history, and customer care interactions. To reiterate on the customer segmentation use case, this is a classification use case in machine learning. We are trying to identify a category the customer belongs to. We have three sources of data, namely the Salesforce Marketing Cloud, from where we get marketing responses, an enterprise sales database that provides buying history and support logs from the customer care team. We want to classify the customers as platinum, gold, silver, and bronze based on their relationship with the…
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