Using Generative AI, and Python to Remove Personally Identifiable Information from your Data

A talk by Faye Ellis from Pluralsight. This is a technical session will enable to you quickly get started using AWS technologies like Amazon Bedrock and Converse to build an application that removes Personally Identifiable Information (PII) from text data. Bedrock is a service that enables you to interact with the latest Generative AI models, using a simple API. We'll begin with an overview of the technologies involved and their use cases, take a look at the architecture of the application, review the code, and run a demo showing how to remove PII from your data using a simple Python application that uses Amazon Bedrock to invoke a pre-trained GenAI model. Technical Level: Technical practitioner This session was part of the Data Science Festival Oktoberfest event 2024. Find out more at https://datasciencefestival.com/event/oktoberfest-2024/ The Data Science Festival is the place for data-driven people to come together, share cutting-edge ideas, and solve real-world problems. We run monthly events, meet-ups, and the biggest free-to-attend data festivals in the UK. Join the community at https://datasciencefestival.com/