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Building a Media Understanding Platform for ML Innovations

Netflix Tech

We build creator tooling to enable these colleagues to focus their time and energy on creativity. For instance, let’s say that an editor has found a visually stunning shot of a plate of food from Chef’s Table , and she’s interested in finding similar shots across the entire show. Maintaining disparate systems posed a challenge.

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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. This year’s entries presented an impressively diverse set of use cases. SignalFlare.ai

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Top Backend Project Ideas for Your Portfolio

Knowledge Hut

This article is mainly focused on explaining different backend projects for beginners or students, intermediate learners, or those who have mid enough software development experience building large scalable projects. can be helpful for building a few awesome backend projects. What are Backend Development Projects?

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#Clouderalife Volunteer Spotlight: Michael Billau

Cloudera

Michael volunteers with the Food Bank of Central and Eastern North Carolina. The Food Bank of Central and Eastern North Carolina provides food daily to the over 200,000 people facing food insecurity and hunger in the Raleigh area, while simultaneously building solutions to end hunger permanently in communities across North Carolina. .

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A Data-Agenda at Davos: Promoting the Promise of AI

Snowflake

The three panels were introduced by the Swedish Minister for International Development, Cooperation and Foreign Trade, Johan Forssell, who ended his remarks with a call to build better resilience against crisis through more cooperation — a tearing down of trade barriers for goods, services and data flows. An AI system is like an employee.

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How to Build a Flexible Customer Support Platform with Kotlin

DoorDash Engineering

The legacy support application that DoorDash had built to issue credits and refunds was created only to address the original food delivery service. Instead, we pursued a complete redesign to upgrade our system, building a no-code platform and migrating the service to Kotlin, our new backend framework.

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Lifecycle of a Successful ML Product: Reducing Dasher Wait Times

DoorDash Engineering

Building an ML-powered delivery platform like DoorDash is a complex undertaking. Once we identify an opportunity, we usually start small by testing the ML hypothesis using a heuristic before deciding to invest into building out the ML models. If the initial heuristic works, we build out and replace the heuristic with the ML models.

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