Guido Nebiolo

As AI applications grow more complex, understanding when to use function calling versus agents in AWS becomes critical. This session breaks down the key differences, real-world use cases, and architectural considerations for each approach.

This chalk talk explores key design considerations for building cost-effective generative AI applications. We discuss model selection and optimization techniques, focusing on strategies for optimizing the Retrieval Augmented Generation (RAG) architecture.

This session explores how generative AI can revolutionize IT operations for managed services providers (MSPs). Leveraging AWS services like Amazon Q and Amazon Bedrock, generative AI automates tasks, predicts incidents, and enhances decision-making.