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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

Solution overview For our custom multimodal chat assistant, we start by creating a vector database of relevant text documents that will be used to answer user queries. This may be useful for later chat assistant analytics. The car listing for the 2013 Volkswagen Beetle mentions it has a fuel-efficient 1.8L

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Is web3 data storage ushering in a new era of privacy?

Dataconomy

Despite the furore that erupted after Cambridge Analytica, the dirty data problem hasn’t gone away: major breaches are commonplace, with a report by Apple last year indicating that the total number of data breaches tripled between 2013 and 2022. In the past two years alone, 2.6

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. In every release, we're making Tableau easier to use, more powerful, and simpler to deploy to support governed data and analytics at scale. Accelerate adoption with intuitive analytics that people love to use.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Build a multi-interface AI assistant using Amazon Q and Slack with Amazon CloudFront clickable references from an Amazon S3 bucket

AWS Machine Learning Blog

Solution components In this section, we discuss two key components to the solution: the data sources and vector database. Developed by Todd Gamblin at the Lawrence Livermore National Laboratory in 2013, Spack addresses the limitations of traditional package managers in high-performance computing (HPC) environments.

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Analyzing the history of Tableau innovation

Tableau

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

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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.