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Bringing HDR photo support to Instagram and Threads

Engineering at Meta

Meta’s family of apps serves trillions of image download requests every day. Hear how the Media Platform Team brought HDR to Instagram and Threads, and how they partnered with major phone manufacturers (including Google and Samsung) on the rollout!

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Data News — Week 24.15

Christophe Blefari

AI News 🤖 Open-source LLMs for everyone — A great post from Siemens AI team about open LLMs initiatives that brings new usages in the dev workflow, wether it's about code completion and pull request / crash reporting summarisation, it looks neat. Can Gemini 1.5 actually read all the Harry Potter books at once?

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Ensuring the Successful Launch of Ads on Netflix

Netflix Tech

This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. When traffic matching our AB test criteria arrived at our playback services, we stored copies of those requests in a Mantis stream. We continued ramping up and eventually reached 100% replay.

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Meeting DoorDash Growth with a Self-Service Logistics Configuration Platform 

DoorDash Engineering

Challenges and limitations At a high level, there are some challenges and limitations in the current architecture, including: Updating preferences in a single line for thousands of stores : DoorDash and its business partners operate in multiple countries and regions, each with its own specific preferences.

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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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How LinkedIn Adopted A GraphQL Architecture for Product Development

LinkedIn Engineering

since its inception in 2013, LinkedIn has built thousands of microservices to enable the exchange of data with our engineers and our external partners. In our previous blog post on GraphQL, we explained how LinkedIn uses GraphQL to expedite the process of onboarding new use-cases for external API partners. resources through GraphQL.

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Data Ticket Takers vs. Decision Makers

Towards Data Science

This isn’t to say data teams should never resolve a ticket or field an ad-hoc request. Some data leaders will fall into the trap of focusing their time and resources based on who is loudest or which domains are making the most requests. The first is helpful, but a cost center. The second is a value generator. To “why did it happen?”

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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.