Michael Schmidt

This session will focus on the latest Industry & LOB solutions, from Generative AI solutions in radiology to geospatial modeling for power. We will explain the opportunity for AWS Partners to increase visibility of their offerings, as well as develop joint business with AWS and we unlock new innovations for customers.

With an innovative architecture, a broad choice of graph data models and query languages, and advanced features like Amazon Neptune Serverless, global databases, low-latency read replicas, and in-memory graph computing, Amazon Neptune makes it easier to obtain connected data insights for use cases like knowledge…

Retrieval Augmented Generation (RAG) applications use the power of generative AI to analyze private, differentiating datasets. However, baseline RAG can sometimes produce poor responses that lack explainability and contextual awareness and include conflated sources and spurious claims.

In this builders session, we cover the fundamentals of performance tuning for OLTP query workloads against Amazon Neptune. Using AWS CloudFormation, you can set up a Neptune and Jupyter notebook stack, enabling you to run small read-and-write query workloads against Neptune in you own AWS account.