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Building for Inclusivity: The Technical Blueprint of Pinterest’s Multidimensional Diversification

Pinterest Engineering

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Our commitment is evidenced by our history of building products that champion inclusivity. “Everyone” has been the north star for our Inclusive AI and Inclusive Product teams.

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Data Engineering Weekly #161

Data Engineering Weekly

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you? link] Nvidia: What Is Sovereign AI?

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Transforming MLOps at DoorDash with Machine Learning Workbench

DoorDash Engineering

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. We also shed light on how we drove value by taking a user-centered approach while building this internal tool.

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Data Engineering Weekly #125

Data Engineering Weekly

There are some interesting threads on Twitter, but the highlight for me is the design of the Tweet search system. The cluster split approach to store real-time, protected, and archive tweets is an excellent reference model for designing enterprise search engines. I echoed a similar statement here. Seriously, come on, Redshift team!!

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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

DataOps is fundamentally about eliminating errors, reducing cycle time, building trust and increasing agility. Using the DataKitchen DataOps Platform , the Otezla data analytics team designed an extraordinarily agile analytics function with a relatively small team. Companies that do these things well will win the next business cycle.

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The Recommendation System at Lyft

Lyft Engineering

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. This blog mostly focuses on the mode selector to explain how rankings have evolved in the past years and briefly touches on the post request cross-sells.

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Data Engineering Weekly #127

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. DoorDash writes about its journey to build a Metric Layer for experimentation.