[レポート] DAT315 ：NIKEにおけるAmazon Neptuneを利用したソーシャルグラフの構築 #reinvent | DevelopersIO
はじめに サーバーレス開発部＠大阪の岩田です。 この記事はre:Invent2018のDAT315 Building a Social Graph at Nike with Amazon Neptuneのレポートになります。 概要 以下が公式の概要となります。 In this session, learn how Nike stepped up its game on Nike’s own social network. Using the Amazon Neptune graph database, Nike is unlocking the possibility of world-class athletes and millions of their followers to have unique Nike experiences. We showcase Nike's jour
![[レポート] DAT315 ：NIKEにおけるAmazon Neptuneを利用したソーシャルグラフの構築 #reinvent | DevelopersIO](https://cdn-ak-scissors.b.st-hatena.com/image/square/69d5e5df38c6d27d133baa3f894a2379a68db070/height=288;version=1;width=512/https%3A%2F%2Fdevio2023-media.developers.io%2Fwp-content%2Fuploads%2F2018%2F11%2Feyecatch_reinvent-2018-city_1200x630.jpeg)
Incorporating your enterprise knowledge graph into Amazon Kendra | Amazon Web Services
AWS Machine Learning Blog Incorporating your enterprise knowledge graph into Amazon Kendra June 2023: This post was reviewed and updated for accuracy. For many organizations, consolidating information assets and making them available to employees when needed remains a challenge. Commonly used technology like spreadsheets, relational databases, and NoSQL databases exacerbate this issue by creating
Complement Commercial Intelligence by Building a Knowledge Graph out of a Data Warehouse with Amazon Neptune | Amazon Web Services
AWS Database Blog Complement Commercial Intelligence by Building a Knowledge Graph out of a Data Warehouse with Amazon Neptune This is a guest post from Shahria Hossain, Software Engineer, and Mikael Graindorge, Sales Operations Leader at Thermo Fisher Scientific. The continuous expansion of data volume is a growing challenge for businesses to produce strategic solutions for their customers. Thank
Building a knowledge graph with topic networks in Amazon Neptune | Amazon Web Services
AWS Database Blog Building a knowledge graph with topic networks in Amazon Neptune This is a guest blog post by By Edward Brown, Head of AI Projects, Eduardo Piairo, Architect, Marcia Oliveira, Lead Data Scientist, and Jack Hampson, CEO at Deeper Insights. We originally developed our Amazon Neptune-based knowledge graph to extract knowledge from a large textual dataset using high-level semantic qu
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AWS re:Invent 2018: Building a Social Graph at Nike with Amazon Neptune (DAT315)
Exploring Knowledge Graphs on Amazon Neptune Using Metaphactory | Amazon Web Services
https://lassila.org/publications/2020/KGC2020-Lassila.pdf
