From the course: GenAI and Predictive AI Architecture Foundations
Unlock this course with a free trial
Join today to access over 25,300 courses taught by industry experts.
Core modules in predictive AI solutions
From the course: GenAI and Predictive AI Architecture Foundations
Core modules in predictive AI solutions
- Let's now take a look at how the core AI system modules we covered in Chapter 2 are used specifically as part of a predictive AI solution. As we know, a predictive AI system's primary function is to receive input data related to a given problem and to then process this data by carrying out analysis and analytics tasks that provide insights, predictions, and recommendations on how to address the problem. For it to carry out this type of processing, its data ingestion module typically relies on highly-structured data. This is data that conforms to predefined formats and schemas. It's data that is very well defined to avoid any misinterpretations and to maximize accuracy and clarity for the analysis that the system will ultimately carry out. Although the input data needs to be structured, it will likely not yet conform to the specific structures that the inference engine will require as input. It's therefore the data preprocessing module's responsibility to transform the input data…