How Instacart Uses Embeddings to Improve Search Relevance

This is achieved by a collection of machine learning models that identify the intent of customers’ search queries, retrieve the most relevant products from the catalog, and rank them in such a way that balances product relevance with popularity and each customer’s personal preference. To learn the relationship between queries and products, the model requires both positive and negative ( query, product ) pairs, where the two are relevant (e.g., “ milk” Guida’s Dairy Whole Milk ) or irrelevant (e.g., “ toilet paper” Dixie Everyday Dinner Paper Plates ).

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What is a Full Stack Data Scientist?

As full stack data scientists own projects from end-to-end, they work with multiple stakeholders and teams, developing a wide range of both technical and business skills, including: This helps you identify what’s the best solution for what you’re solving for." - Yizhar (Izzy) Toren, Senior Data Scientist

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Emojis mean business: The characters transforming business messaging

Companies may have been reluctant to use emojis in their communications, but as the tiny pictograms permeate our lives more and more, can using them appropriately help us build even better relationships with our customers?

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Working Iteratively

Working in small chunks is one of the most impactful things we can do as developers.

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What is AIOps? A beginner's guide

Given the volume, complexity, and pace of change in today’s cloud-native and hybrid application environments, AIOps is increasingly moving from being a nice-to-have capability to a mission-critical competency for IT operations teams. While AIOps can significantly reduce the mundane and repetitive work required by IT operations (ITOps), site reliability engineering (SRE), and DevOps teams, there are also significant business benefits:

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PaLI: Scaling Language-Image Learning in 100+ Languages

Vision-language (VL) models can benefit from similar scaling to address many tasks, such as image captioning, visual question answering (VQA), object recognition, and in-context optical-character-recognition (OCR). The PaLI model pre-trained on WebLI achieves state-of-the-art performance on challenging image and language benchmarks, such as COCO-Captions, CC3M, nocaps, TextCaps, VQAv2, OK-VQA, TextVQA and others.

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Scaling Translations at Spotify

Last year, we added support for 36 new languages to our products in one go, for a total of 62 languages. This article describes how we delivered on such an immense localization effort at Spotify. We called the project Scaling Translations. The business case We believe that localization is key for engaging with our users [...] The post Scaling Translations at Spotify appeared first on Spotify Engineering.

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Low Code vs. No Code Application Development: What's the Difference?

The increased demand for automation and the need for faster application development has been met with a limited supply of skilled developers. And between 2022 and 2030, we can expect another 22% rise in the demand for software developers, according to the U.S. Bureau of Labor Statistics. Since businesses

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Sarah Wells on Mastering Microservices Over Monolithic Applications

Learn the benefits and constraints of microservices, microservice migration, and why to choose to build microservice applications from scratch instead of modernizing monolithic applications. The post Sarah Wells on Mastering Microservices Over Monolithic Applications appeared first on Semaphore.

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How to set up your GitOps directory structure

In this article, we discussed best practices for creating GitOps repository and directory structures. Although there are generic examples that you can follow, there is no one answer. Your directory structure is going to be driven by your organizational structure and possibly regulatory considerations as well. However, following these basic best practices can help lead you in the right direction.

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How to get engineering teams on board with accessibility

To build products that are usable for all, developers need to prioritize accessibility testing. Here's how to get teams on board.

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Intercom’s product principles: Building in small steps to deliver maximum customer value

Large changes are hard to understand, and harder to debug. At Intercom, we deliver complex changes in a series of small, controlled, easy-to-understand steps.

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How Airbnb safeguards changes in production

Ramp Controller, a Flink job that acts as a centralized coordinator, providing experiment configuration to NRT via Kafka and invoking statistical computations by calling Measured via HTTP. Near Real Time (NRT) pipeline, another Flink job that extracts measures, joins and enriches those measures with assignment information (treatment and subject information), and stores the enriched measures into S3.

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Lessons Learned: The Journey to Real-Time Machine Learning at Instacart

Real-Time Serving improved machine learning applications by integrating new features such as personalization, optimized computation resources by eliminating execution of unused predictions, and increased conversions by optimizing long-tail queries. Instacart incorporates machine learning extensively to improve the quality of experience for all actors in our “four-sided marketplace” —  customers who place orders on Instacart apps to get deliveries in as fast as 30 minutes, shoppers who can go online at anytime to fulfill customer orders, retailers that sell their products and can make updates to their catalog in real time, and the brand partners that participate in auctions on the Instacart Advertising platform to promote their products.

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Maintaining High-Velocity Feature Development, Without Sacrificing Quality

"We want to use best-in-class tools to help our engineers be effective, and having a solution that other organizations widely use makes onboarding faster for new team members."

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Large Scale Industrialization Key to Open Source Innovation

We are now well into 2022 and the megatrends that drove the last decade in data—The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage—have now converged and offer clear patterns for competitive advantage for vendors and value for customers. Cloudera […] The post Large Scale Industrialization Key to Open Source Innovation appeared first on Cloudera Blog.

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How to hire the right engineers for your team

A guide to recruiting the best developers for your organization

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Best practices for API gateway security

In this article, we’ll look at the security benefits offered by API gateways and explore the best practices to follow while taking extra steps to keep our API gateways secure.

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Career Path of a Full-Stack Engineer — Bridging the Gap between Frontend & Backend

I’m passionate about building consumer products and enjoy leading an efficient team by bridging the gap between frontend engineering, backend engineering, product, and design. Since then, she has had the opportunity to dabble in frontend, backend, and has even made her way into becoming the full-stack tech lead on her team.

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How to Build Zero-Trust Event-Based Architectures

Many companies break down complex backend flows into microservices. This makes it easier to delegate responsibilities and extend code for each business area. Microservices can communicate via point-to-point HTTP requests, but an alternative architecture is to use event messages that are processed asynchronously. This involves services calling each other via a message broker, where the ... The post How to Build Zero-Trust Event-Based Architectures appeared first on Nordic APIs.

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