Creating valuable insights out of raw data files, such as audio or video, has traditionally been a very manual and tedious process, and has produced mixed results due to an influential human element in the mix.
Thanks to enhancements in machine learning systems, coupled with the rapidly deployable nature of serverless technology as a middleware layer, we are able to create highly sophisticated data insight platforms to replace the huge time requirements that have typically been required in the past.
With this in mind, we’ll look at:
- How to build end-to-end data insight and predictor systems, built on the back of serverless and machine learning systems.
- Best practices for working with serverless technology for ferrying information between raw data files and machine learning systems through an eventing system.
- Considerations and practical examples of working with the security implications of dealing with sensitive information.