How does the Elastic AI assistant enhance observability?

Hi everyone,

I'm excited to announce next online event about AI in the observability space!

Speakers: Sherry Ger, Bahubali Shetti

Sherry is a long time Elastician and data nerd. As a solution architect, Sherry supported enterprise and strategic accounts in the West. Recently Sherry took on a new role as a Customer Enterprise Architect to ensure continuing success and growth at adopting Elastic technologies at our customers. Prior to Elastic, Sherry worked at MongoDB.

Bahubali is a senior director of product marketing at Elastic.

The abstract

Generative AI displays remarkable proficiency in generating content, engaging in conversations, and crafting visuals and melodies. However, its relevance to your data and use cases might not be clear. How does it contribute to enhancing observability?

In this presentation, we will explore how the Elastic AI assistant empowers users to navigate the swiftly evolving landscape of Large Language Models. Elastic AI assistant is based on the Retrieval Augmented Generation (RAG) architecture. We will delve into how Elasticsearch Relevance Engine enables Elastic AI and RAG use cases in general to bring valuable insights and automations to observability.

Agenda:

Welcome

Technical Presentation

Q&A

Please reach out to me if you have thoughts and would like to present on an upcoming Meetup events.