Event videos

In this Part 2 of the Elastic Security Essentials webinar series, we’ll provide an in-depth exploration of the various detection techniques and methodologies with Elastic Security that will allow you to maximize the effectiveness of SIEM in your security operations.

Join us to explore advanced techniques in retrieval augmented generation (RAG). This talk is for developers, data scientists, and AI enthusiasts, and provides essential insights to elevate your RAG systems.

In the ever-evolving landscape of cybersecurity, AI-driven security analytics is more than a tool —; it is a strategic approach for the modern SOC, redefining how organizations navigate the complexities of a dynamic IT ecosystem and stay ahead of the evolving threat landscape. A key part of this approach is Elastic Security for SIEM, an open, unified solution with native endpoint and cloud secu...

Organizations are trapped in an avalanche of data. Caught in an endless cycle of data storage and sifting through it — from security event logs and application errors to IoT metrics and help center FAQs.

Understand why ELSER is a game-changer in the realm of vector embeddings and how RAG impeccably integrates with LLM and Azure OpenAI.

Join us for an interactive webinar with our industry experts to elevate your Elasticsearch vector search projects to the next level. Incorporate the Retrieval-Augmented Generation (RAG) architecture to build sophisticated chatbots and showcase the integrati...

This is part two on the journey of building semantic search and advanced generative AI. Join us to learn about methods to enhance search efficiency, advanced hybrid search techniques, reranking strategies such as Learning to Rank (LTR), and cross-encoders. You’ll also learn how vector databases can extend search capabilities through dense and sparse options like vector search and Elastic's Lear...

This is part two on the journey of building semantic search and advanced generative AI. Join us to learn about methods to enhance search efficiency, advanced hybrid search techniques, reranking strategies such as Learning to Rank (LTR), and cross-encoders. You’ll also learn how vector databases can extend search capabilities through dense and sparse options like vector search and Elastic's Lear...

Security professionals are unclear on AI’s role in their security stack. Which tasks and workflows can AI be entrusted to augment? How much of an analyst’s daily workload can AI actually help with?

This is part one of a two-part series on the journey to semantic search and generative AI excellence. Join us as we guide you through the spectrum of search methodologies, the steps to building search that understands the meaning

Empowering practitioners to perform at their peak is vital to the success of your SOC. See how AI infused with security acumen and environmental context helps analysts better understand and stop attacks:

Discover how recent advances in AI changed the game for search in 2023 and beyond.

According to a study by IDC, as recently as 2022, knowledge workers spent an average of 2.5 hours per day searching for information, adding to more than one full workday per week. The good news: In 2023, for the first time, IDC saw hours lost on all search-related activities decrease significantly compared...

This brief workshop, powered by Microsoft and Elastic, will spotlight Elasticsearch as a vector database, offering an introduction to Elasticsearch, RAG, and generative AI

Learn about Service Level Objectives (SLOs) from the experts at Elastic. Join Product Manager Tom Grabowski and Software Engineer Chris Cowan as they cover key concepts around SLOs, review indicator types, discuss burn rate alerting, and more.

The Elastic 8.13 release includes the GA of Amazon Bedrock support within the Elastic AI Assistant for Observability, new vector search configurations, a new integration filter plugin for Logstash, and more.

Public sector organizations are cautiously embracing generative AI technology – with security and privacy top of mind. Generative AI can be a highly beneficial tool, but to gain the most benefit from the technology, organizations must securely integrate their own proprietary data.

Managing the increasing volume of log files can be daunting. And while logs are often crucial to resolving problems, how can you store and use them cost-effectively?

Join Elastic's Luca Wintergerst as he takes on this challenge and provides practical tips and recommendations to help you get the most from your logs. He'll tackle key best practices from onboarding techniques and indexing yo...

Learn how to configure Elastic Observability to manage applications and services on AWS and multicloud environments. You'll learn how you can surface issues and reduce MTTR by analyzing metrics and application logs utilizing Elasticsearch's AI/ML capabilities.

Join us as we delve into the innovative features of Elasticsearch, unveiling how these three customers are breaking new ground at the intersection of technology and creativity.

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Generative AI applications have quickly gained popularity and companies are turning to them to improve their customers' and employees' experiences. Learn how to make a generative AI-powered search application by embedding proprietary or third-party ML models. Discover how you can use Elasticsearch as a vector database for creating, storing, and searching vector embeddings.

Join us as we dig into Elasticsearch Query Language (ES|QL), Elastic's new piped language designed to simplify and transform data investigations. We'll demonstrate how ES|QL, powered by Elasticsearch's advanced query engine, delivers new search capabilities with real-time query processing, improving efficiency and driving value across observability and security. Learn how ES|QL accelerates reso...

Learn how the Elastic AI Assistant and AIOps enhance an SRE’s ability to provide deeper contextual insights into APM errors and log messages, analyze alerts, optimize code, and detect anomalies with log spike and pattern analysis. The result: streamlined operations.