沙堡:为每个人提供的数据/人工智能应用

Airbnb made it easy to bring data/AI ideas to life through a platform for prototyping web applications.

Airbnb通过一个用于原型Web应用程序的平台,使得将数据/AI的想法变成现实变得容易。

By: Dan Miller

作者:Dan Miller

Warm, friendly beach capturing the playful nature of prototyping.

温暖友好的海滩,捕捉到原型设计的嬉戏本质。

Introduction

介绍

Trustworthy data has always been a part of Airbnb’s technical DNA. However, it is challenging for our data scientists and ML practitioners to bring data- and AI-powered product ideas to life in a way that resonates with our design-focused leadership. Slide decks with screenshots, design documents with plots, and even Figmas are insufficient to capture ideas that need to be experienced in order to be understood. This was especially true as large language models (LLMs) took the world by storm, since they are typically used interactively in chat interfaces.

可信的数据一直是Airbnb技术基因的一部分。然而,对于我们的数据科学家和机器学习从业者来说,将数据和AI驱动的产品想法以与我们注重设计的领导层相 resonates 的方式变为现实是具有挑战性的。幻灯片演示文稿带有截图,设计文档带有图表,甚至是Figmas都无法捕捉到需要通过体验才能理解的想法。这在大型语言模型(LLMs)席卷全球的情况下尤为真实,因为它们通常在聊天界面中以交互方式使用。

In this blog post, we’ll focus on Sandcastle, an Airbnb-internal prototyping platform that enables data scientists, engineers, and even product managers to bring data/AI ideas to life as internal web applications for our design and product teams. Through Sandcastle, hundreds of individuals can be “cereal entrepreneurs” — empowered to directly iterate on and share their ideas. We’ll talk through common industry challenges involved in sharing web applications internally, give an overview of how Airbnb solved these challenges by building on top of its existing cloud infrastructure, and showcase the scale of our results.

在这篇博客文章中,我们将重点介绍Sandcastle,这是一个Airbnb内部的原型平台,使数据科学家、工程师甚至产品经理能够将数据/AI的想法变成内部的Web应用程序,供我们的设计和产品团队使用。通过Sandcastle,数百名个人可以成为“谷物企业家”,有能力直接迭代和分享他们的想法。我们将讨论在内部共享Web应用程序中涉及的常见行业挑战,概述Airbnb如何通过在现有云基础设施上构建来解决这些挑战,并展示我们的成果规模。

Challenges

挑战

Imagine a data scientist is working on a typical data science problem at Airbnb: optimizing the positive milestones guests reach along their user journey, ...

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