Building a personalized generative AI sales assistant

Do you want to learn how to build interactive elements of an in-store experience into a digital platform with generative AI? In this session, we first outline the challenges of existing static digital experience and how to manage them with Knowledge Bases for Amazon Bedrock. Uncover how to easily extract actionable insights from your customer data through real-time analytics streaming pipeline with Amazon Kinesis and Amazon Redshift. We showcase the use of Amazon Redshift streaming ingestion to simplify data pipelines by allowing you to create materialized views directly on top of data streams. Learn how to use SQL to connect to and directly ingest data from data streams, such as Amazon Kinesis Data Streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK) data streams, and pull data directly to Amazon Redshift. The session concludes with step-by-step guidance on how to build your reporting dashboard with Amazon QuickSight Q for quicker and easier data insights.

Speakers: 
Derrick Choo, Senior Solutions Architect, AWS
Antonio Baxter, Solutions Architect, AWS