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Supporting Diverse ML Systems at Netflix

Netflix Tech

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

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Best Practices for Digital Product Development

Openxcell

software delivered electronically through digital technology or internet channels. To build robust software applications you must reach out to a reliable software development company. This process encompasses creating software programs, mobile applications, and platforms. What is a Digital Product?

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Business Analysis Tools: Reviewing Confluence, IBM DOORS, Lucidchart, Gliffy, MS Visio, and more

Altexsoft

In this article, we give credit to the software used in business analysis. Major functions of business analysts and categories of business analysis software. To cover their needs, business analysts use several types of software, falling into three large categories: requirements management tools; visualizing tools; and.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

For this article, we discussed current and potential applications of AI in retail, as well as the state of the industry in general, including factors that drive adoption of cognitive technologies. Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security.

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How ML System Design helps us to make better ML products

Xebia

The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in. Machine Learning System Design is the iterative process of defining a software architecture. A demand forecasting case will be used to demonstrate the process.

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Using Graph Processing for Kafka Stream Visualizations

Confluent

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. In a financial fraud application, we need to understand flows of money between accounts. We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables.

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