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Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. Are data agents harder to build?

Building 278
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Building Applications With Data As Code On The DataOS

Data Engineering Podcast

At the Modern Data Company they created the DataOS platform as a means of driving your full analytics lifecycle through code, while providing automatic knowledge graphs and data discovery. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started. Struggling with broken pipelines? Stale dashboards?

Coding 130
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Will It Automate? Accessibility Testing by Will McKenzie

Scott Logic

There’s just one last hurdle you’ve got to overcome: accessibility testing. Well, there is… and don’t call me Shirley… Make it automatic What if I told you that you could build accessibility testing into your automated test suites so that you can make sure your pages and components are accessible from the start?

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ChatGPT Code Interpreter: What is It & How Does It Work?

Knowledge Hut

OpenAI has launched a new tool known as Code Interpreter (CI) which is a plugin of ChatGPT – 4 that allows users to easily upload images, CSVs, PDFs, and other files. This Code Interpreter (CI) plugin can handle file downloads and uploads. What is ChatGPT Code Interpreter? How Does ChatGPT's Code Interpreter Work?

Coding 52
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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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Building Meta’s GenAI Infrastructure

Engineering at Meta

By the end of 2024, we’re aiming to continue to grow our infrastructure build-out that will include 350,000 NVIDIA H100 GPUs as part of a portfolio that will feature compute power equivalent to nearly 600,000 H100s. RSC has accelerated our open and responsible AI research by helping us build our first generation of advanced AI models.

Building 145
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Data Access API over Data Lake Tables Without the Complexity

Towards Data Science

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. Suppose that we have a data lake table that stores real-time statistics about our customers generated by some Spark application.