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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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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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Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

Instead of generating answers from parameters, the RAG can collect relevant information from the document. A retriever is used to collect relevant information from the document. On top of that, this agent should use the content by including relevant hotel information in this proposal for business events or campaigns.

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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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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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Data logs: The latest evolution in Meta’s access tools

Engineering at Meta

Users have a variety of tools they can use to manage and access their information on Meta platforms. Meta is always looking for ways to enhance its access tools in line with technological advances, and in February 2024 we began including data logs in the Download Your Information (DYI) tool. feature on Facebook. What are data logs?

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Foundation Model for Personalized Recommendation

Netflix Tech

This model aims to assimilate information both from members comprehensive interaction histories and our content at a very large scale. However, unlike language tokenization, creating these new tokens requires careful consideration of what information to retain. The following diagram demonstrates thisidea.

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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.