Accessibility Building IT 
Data Engineering Podcast
MAY 18, 2024
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?
Scott Logic
APRIL 2, 2024
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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Towards Data Science
OCTOBER 30, 2024
Demystifying Azure Storage Account Network Access Service endpoints and private endpoints hands-on: including Azure Backbone, storage account firewall, DNS, VNET and NSGs Connected Network — image by Nastya Dulhiier on Unsplash 1. This setup empowers consumers to perform data science tasks and build machine learning (ML) models.
Edureka
JULY 19, 2024
Access control fundamentally secures systems by controlling and monitoring who can access resources or perform actions. Broken access control , on the other hand, is a vulnerability that is devoid of proper access control; Hence, the users could act or get access to resources to which they really should not have the authorization.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
Engineering at Meta
MARCH 12, 2024
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.
Pinterest Engineering
JULY 25, 2023
Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. Consequently, access control mechanisms also need to scale constantly to handle the ever-increasing diversification.
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Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
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We hope this guide will transform how you build value for your products with embedded analytics. Access the Definitive Guide for a one-stop-shop for planning your application’s future in data. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.
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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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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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