Latest from Elastic

6 Lessons for Cybersecurity Leaders

The state of security is highly adrenalized these days — more so than usual. Years into the deadly and disruptive global pandemic, not only are we still seeing more attacks, we’re also seeing more breaches, as the way many of us work continues to evolve. New global research conducted by Splunk and the Enterprise Strategy […]

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Boost productivity on all levels with AI

Looking to empower your employees, streamline team workflows, and elevate leadership insights? Discover how RingCentral’s AI solutions can improve productivity across personal, team, and leadership levels. Download the datasheet to explore: • Common challenges faced by employees, teams, and leaders. • Practical examples of how AI-powered tools solve these challenges. • Success stories, such as […]

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Case study: Cisco chooses Elastic to power its enterprise search platform

Cisco’s team of over 11,000 customer support engineers required a more efficient process to handle nearly two million service requests annually and ensure real-time support for customer issues. A modern, search AI experience was the answer. With Elastic’s integrated, advanced search capabilities, Cisco.com users now receive detailed, easy-to-consume results with direct links to relevant content. […]

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Case study: Labelbox reduced search response times from 20 seconds to 1 second

Labelbox built a customizable AI platform on Elastic designed to enhance training data quality and model performance for their Catalog solution, helping AI teams accelerate machine learning development. After the deployment of Elasticsearch, search times improved drastically to about one second, enabling complex searches and sophisticated analytics for better data curation decisions. Reduced search response […]

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Introduction to Search: Laying the groundwork for generative AI

Overview Search has been a driver of improved customer and employee experience for years — yet recent breakthroughs in generative AI present new opportunities for enterprise investment. This short introduction highlights the fundamentals of implementing search, how AI can level-up search relevance, and the critical role search plays in generative AI. See how Elastic can […]

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IDC infobrief: How advances in AI changed the game for search and knowledge discovery

Generative AI (GenAI) is changing how forward-looking organizations approach search, knowledge management, and other forms of knowledge discovery. Search is foundational for helping organizations discover, analyze, and utilize key data. However, with ever-increasing amounts of data, legacy search systems can struggle to help users quickly find what they need and avoid wasting time. Modern search […]

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Building search in the age of generative AI: A blueprint for success

There’s never been a better time to create exceptional search experiences. By leveraging the capabilities of LLMs and generative AI, we can predict user intent, improve relevance, surface timely content, and even provide human-like responses. But one size doesn’t fit all for search. You can utilize out-of-the-box technology, build your own with feature-rich, custom design […]

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Beyond RAG basics: Strategies and best practices for implementing RAG

Overview 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. If you’ve played around with RAG, and are looking to optimize existing implementations, our speakers will discuss practical steps to help you build RAG-based […]

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AI deep dive: A technical guide to the foundations of search and generative AI

This technical whitepaper takes you deep into the inner workings of generative AI and vector databases. It provides a detailed look at the technical foundations of vector embeddings, generative AI architecture, and how retrieval-augmented generation (RAG) works to provide LLMs with the critical domain-specific knowledge they need. Highlights Demystifying ChatGPT: Different methods for building AI […]

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