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Retrieval Augmented Generation: Where Information Retrieval Meets Text Generation

KDnuggets

This article introduces retrieval augmented generation, which combines text generation with informaton retrieval in order to improve language model output.

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Google Domains to shut down

The Pragmatic Engineer

Does this count as selling personal information to a third party? All while staying true to two unequivocal policies: that Google will never sell any personal information to third parties ; and that you get to decide how your information is used.” Obviously, there are plenty of questions.

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Data Integrity for AI: What’s Old is New Again

Precisely

I didnt want to skip this important information management milestone in history, but content classification and governance created so many new disciplines and technologies and leads down a completely different path – so Im not going to go there! The SLM (small language model) is the new data mart.

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A Deep Dive into Data Replication: Most Effective Way to Protect Your Data 

Analytics Vidhya

Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks. In most cases, data alters.

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2021 State of Analytics: Why Users Demand Better

Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. But what do users really want?

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How Meta discovers data flows via lineage at scale

Engineering at Meta

Well also walk through how we track the lineage of users religion information in our Facebook Dating app. helping inform the right places to apply privacy controls. This information is then utilized to identify relevant matches with other people who have specified matched values in their dating preferences.

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A Beginner’s Guide to Geospatial with DuckDB

Simon Späti

Traditionally, answering this question would require expensive GIS (Geographic Information Systems) software or complex database setups. ” This seemingly simple question requires analyzing competitor locations, population density, traffic patterns, and demographicsall spatial data.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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The Hitchhiker’s Guide to Embedded Analytics – 4 Mission-Critical Steps to Take on Your Analytics Journey

Based on insights derived from industry professionals, this e-book uses first-hand experiences to help inform your analytics strategy. If you’ve been wondering how to invest in analytics, this research-based guide will take you through the 4 steps to finding the right solution for your application that will drive the most value.

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Get Better Network Graphs & Save Analysts Time

Adding entity resolution drastically reduces the time analysts spend extracting relevant information and insights from graph databases. For example, instead of a graph with six related nodes, you get a resolved graph that condenses six nodes into one person.