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GSAS Talk: Pragmatic Approach to Architecture Metrics – Part 1

Apiumhub

In their thought-provoking presentation titled “Pragmatic Approach to Architecture Metrics” at GSAS’22 organized by Apiumhub , Sonya Natanzon, and Vlad Khononov delivered valuable insights. Consequently, we assess the capacity of architecture to embrace change through various metrics. Whatever that is.”

Metrics 68
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What LinkedIn learned leveraging LLMs for its billion users

CIO

As an example, Bottaro referenced the part of the system designed to understand intent. Without automated evaluation, LinkedIn reports that “engineers are left eye-balling results and testing on a limited set of examples and having a more than a 1+ day delay to know metrics.”

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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When and How It Helps with the System Development Lifecycle

Invid Group

When and How It Helps with the System Development Lifecycle. BY: ALBERTO LUGO When thinking about building a new system, many people think of the endeavor as a “do it once” project. You’ll create the system in-house (or take advantage of outsourcing), it’ll work, and then you’ll just let it run from there.

System 92
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Cybersecurity Snapshot: Insights on Hive Ransomware, Supply Chain Security, Risk Metrics, Cloud Security

Tenable

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . Yes, keeping tabs on, for example, the number of patched systems and the percentage of trained staffers is a good start. What would this look like?

Metrics 52
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Revenue Management Systems for Hotels: Products and Features

Altexsoft

A solid revenue management system (RMS) serves as a trusted steering wheel, guiding in the right direction and making that journey smoother. From analyzing real-time data to making forecasts about future trends, these systems provide functionality for staying ahead in a dynamic hospitality market. Coordinated pricing adjustments.

Hotels 52
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Simulation Theory, Observability, and Modern Software Practices

Honeycomb

s favorite three buzzwords (logs, metrics, and traces), we can draw several analogies to understand software development and debugging. The real vs. simulated systems In Baudrillard’s terms, the authentic experiences and the real have been replaced by symbols and signs ( logs , metrics , traces ).