Post Tagged with: "gf_row"

2025 Financial Services AI + Data Predictions: The Trends, Headwinds and Opportunities for the Year Ahead

Prepare your organization for the new year by joining technology leaders from Accenture, BNY and Snowflake as they discuss the priorities for financial organizations implementing enterprise AI. In this fireside chat, the panel of executives will share their industry predictions for the year and the new-gen AI and data strategies that are transforming financial institutions’ business and organizational workflows in […]

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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. The new search architecture solution […]

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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 time from 20 seconds to […]

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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 systems have made great leaps […]

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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 and functionality, or anything in-between. […]

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Semantic search excellence: Getting started with AI

Overview 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 of a query, and the choices and options along this path. We’ll start with foundational text search using BM25 and […]

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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 systems that run in production […]

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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 search Generative AI architectures with […]

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