The Pragmatic Engineer

JUNE 1, 2023

Juraj included system monitoring parts which monitor the server’s capacity he runs the app on: The monitoring page on the Rides app And it doesn’t end here. Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js

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Education Project PostgreSQL Software Engineer 363

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

Metadata 66

Metadata Bytes Entertainment Data Mining 66

Engineering at Meta

SEPTEMBER 7, 2023

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. We need a systemized source of truth that can simulate various performance factors across compute, storage, and network collectively. For instance, the AI Research SuperCluster for AI research.

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Systems Architecture Designing Utilities 106

Engineering at Meta

AUGUST 9, 2023

Explore is one of the largest recommendation systems on Instagram. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and flexible. locally popular media), which further contributes to system scalability.

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Systems Media Algorithm Machine Learning 90

RandomTrees

MARCH 10, 2025

Businesses may see new trends, adjust their tactics, and establish themselves as industry leaders by utilizing sophisticated models. Case Study: For instance, Procter & Gamble uses market trends and weather patterns to forecast demand for items like shampoo and diapers, utilizing predictive analytics to manage its supply chain.

Retail 52

Retail Data Governance Hospitality Banking 52

Netflix Tech

JUNE 1, 2023

We used this simulation to help us surface problems of scale and validate our Ads algorithms. Replay traffic enabled us to test our new systems and algorithms at scale before launch, while also making the traffic as realistic as possible. We also constructed and checked our ad monitoring and alerting system during this period.

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Algorithm Kafka Metadata Systems 139

Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Our engineers are constantly discovering new algorithms and new signals to improve the performance of our machine learning models.

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Systems Machine Learning Data Mining Algorithm 98

Pinterest Engineering

MARCH 26, 2025

Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

Building 59

Building Engineering Algorithm Systems 59

RandomTrees

OCTOBER 14, 2024

In the utility sector, demand forecasting is crucial for customer satisfaction with energy services, ensuring the efficiency of operations and using the funds in a correct manner. This article explains the phenomena of GenAi in utilities: how it improves the processes of energy forecasting, operations, and decision-making.

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Utilities Data Mining Algorithm Systems 52

RandomTrees

DECEMBER 17, 2024

In light of rapid changes in consumer demand, policies, and supply chain management, there is an urgent need to utilize new technologies. These problems have created a situation where AI systems, especially GenAI, need to be integrated to improve and automate quality control systems.

Food 52

Food Manufacturing Machine Learning Algorithm 52

RandomTrees

NOVEMBER 25, 2024

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. This article will focus on explaining the contributions of generative AI in the future of telecommunications services.

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Telecommunication IT Unstructured Data Data Mining 52

Netflix Tech

DECEMBER 17, 2024

To achieve this, we are committed to building robust systems that deliver comprehensive observability, enabling us to take full accountability for every title on ourservice. Each title represents countless hours of effort and creativity, and our systems need to honor that uniqueness. Yet, these pages couldnt be more different.

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Metadata Systems Algorithm Data Analysis 68

RandomTrees

DECEMBER 4, 2024

The purpose of this article is to demonstrate how AI is enabling the F&B sector to utilize AI Inventory Management, GenAI Waste Reduction Solutions , and Smart Inventory Systems to streamline operations responsibly. Automated Reordering AI systems automate the reordering process by setting thresholds for stock levels.

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Food Management Manufacturing Machine Learning 52

Netflix Tech

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.

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Machine Learning Project Data Warehouse Coding 81

RandomTrees

NOVEMBER 13, 2024

However, AI-assisted editing tools are transforming the systems that are capable of eliminating tough jobs from the editing process. Machine learning algorithms are capable of absorbing a specific editor or director’s editing style and utilizing those principles for new projects, leading to quicker and more consistent edits.

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Entertainment Media Cloud Cloud Computing 52

Netflix Tech

FEBRUARY 13, 2023

This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns. Amber is a suite of multiple infrastructure components that offers triggering capabilities to initiate the computation of algorithms with recursive dependency resolution.

Media 119

Media Machine Learning Metadata Algorithm 119

Zalando Engineering

NOVEMBER 14, 2024

In summary, our contributions are as follows: We introduce a multimodal LLM-based evaluation framework for large-scale product retrieval systems. This framework utilizes LLMs (i) to generate context-specific annotation guidelines and (ii) to conduct relevance assessments.

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Algorithm Systems Datasets Engineering 63

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. Technology can help.

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Government Machine Learning Algorithm Raw Data 119

Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Applications for anomaly detection can be found in many fields, such as fraud detection, network security, preventive maintenance, monitoring of the healthcare system, and quality control.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Snowflake

JUNE 27, 2024

Knowledge graphs present a digital model of an organization’s operations, surfacing patterns, relationships and connections that RelationalAI’s graph algorithms use to detect similarities and apply reasoning and business logic. These two algorithms are well-known for being resource intensive and time consuming.

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Data Governance Algorithm Government Cloud 124

Data Engineering Weekly

SEPTEMBER 26, 2024

Most cloud providers offer built-in encryption options and key management systems (KMS) , making it easier to stay compliant without sacrificing security. Two prevalent models are: Role-Based Access Control (RBAC): This system assigns permissions based on predefined organizational roles (e.g., data analyst, marketing manager).

Systems 67

Systems Engineering Data Warehouse Architecture 67

Knowledge Hut

OCTOBER 26, 2023

The project will focus on creating a user-friendly interface as a web / Desktop application and incorporating robust algorithms to assess password strength accurately. Integrity Checker The Integrity Checker aims to provide security for operating systems. Source code 2. Source code 3. Source code 3.

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Coding Project Algorithm Utilities 98

Knowledge Hut

MARCH 22, 2024

The C programming language plays a crucial role in Data Structure and Algorithm (DSA). Since C is a low-level language, it allows for direct memory manipulation, which makes it perfect for implementing complex data structures and algorithms efficiently. This blog will provide you with a strong foundation in DSA using C.

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Algorithm Programming Language Software Engineer Software Engineering 52

Knowledge Hut

MAY 30, 2024

Integrated Blockchain and Edge Computing Systems 7. Survey on Edge Computing Systems and Tools 8. Evolutionary Algorithms and their Applications 9. Machine Learning Algorithms 5. A Survey on Edge Computing Systems and Tools Semantic Scholar With the rise in population, the data is multiplying by manifolds each day.

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Computer Science Data Mining Algorithm Machine Learning 98

Knowledge Hut

MAY 3, 2024

Apache Spark is a fast and general-purpose, cluster computing system. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. Spark is utilized for Big data analytics and related processing. Following is the authentic one-liner definition.

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Hadoop Scala Healthcare Big Data 98

Knowledge Hut

JULY 3, 2023

Today's business is way different from the erstwhile brick-and-mortar limited stores as every business in the current system operates in many different digital spaces which herald numerous opportunities and possibilities but are not devoid of colossal challenges which can cause a lot of commotion if not perceived rightly.

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Knowledge Hut

DECEMBER 22, 2023

Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence. It is possible to generate pivot tables and charts and utilize Visual Basic for Applications (VBA). The majority of machine learning models may be written as matrices.

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Hadoop Deep Learning Data Science Machine Learning 98

LinkedIn Engineering

OCTOBER 5, 2023

LinkedIn is on the forefront of leveraging EBR technology to revolutionize the way we approach search and recommendation systems. Figure 1 - Example of an Embeddings Graph Embedding based retrieval (EBR) is a method that is used at the early stages of a recommendation or search system. What Are Embeddings?

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IT Metadata Designing Cloud 133

Knowledge Hut

APRIL 25, 2024

This programming language is used for general purposes and is a robust system. Data Structures and Algorithms In simple terms, the way to organize and store data can be referred to as data structures. As previously mentioned, backend developers need to know about algorithms that can help them be the best in their profession.

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Programming Language Java Algorithm MySQL 98

Knowledge Hut

DECEMBER 29, 2023

Knowing which data to utilize, how to arrange the data, and so on is essential. Career Options: This specialty may prepare you for positions such as: Computer systems analyst Computer network analyst Data scientist Data analyst Data Engineer Data manager D. One and only reason this is taking place is that it saves time and effort.

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Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JULY 4, 2023

By developing algorithms that can recognize patterns automatically, repetitive, or time-consuming tasks can be performed efficiently and consistently without manual intervention. By analyzing historical patterns and trends in the data, algorithms can learn and make predictions about future outcomes or events.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Pinterest Engineering

MAY 25, 2023

Specifically, we have developed and deployed scalable diversification mechanisms that utilize a visual skin tone signal to support representation of a wide range of skin tones in recommendations, as shown in Figure 1 for fashion recommendations in the Related Products surface. These scores are then combined (e.g.

Utilities 98

Utilities Food Machine Learning Algorithm 98

U-Next

MARCH 1, 2023

Artificial Intelligence Projects for Beginners Building an AI system involves mirroring human traits and skills in a machine and then utilizing its computational power to outperform our skills. Users can then consult specialists for medical guidance using the system’s diagnosis. Let’s get started on this.

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Project Medical Banking Healthcare 96

Engineering at Meta

MAY 22, 2024

Existing algorithms have reliably secured data for a long time. However, Shor’s algorithm can efficiently break these cryptosystems using a sufficiently large quantum computer. Migrating systems to different cryptosystems always carries some risks such as interoperability issues and security vulnerabilities.

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Bytes Algorithm Coding Systems 107

Snowflake

OCTOBER 2, 2024

Today, generative AI-powered tools and algorithms are being used for diagnostics, predicting disease outbreaks and targeted treatment plans — and the industry is just getting started. Additionally, there are high costs associated with implementing AI and maintaining a team of skilled professionals to develop and manage AI systems.

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Manufacturing Pharmaceutical Healthcare Algorithm 98

RandomTrees

NOVEMBER 13, 2024

The blending company F&B utilizes GenAI to figure out what products and services customers want by studying their reviews and purchasing history. Guided by AI algorithms, companies are able to create new dishes that take into account different flavour combinations, nutritional value, customer tastes, and other trends at the present time.

Food 52

Food Manufacturing Algorithm Utilities 52

Netflix Tech

NOVEMBER 11, 2022

With media-focused ML algorithms, we’ve brought science and art together to revolutionize how content is made. We arm our creators with rich insights derived from our personalization system, helping them better understand our members and gain knowledge to produce content that maximizes their joy.

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Media Machine Learning Algorithm Deep Learning 98