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Forming an Architecture Modernization Enabling Team (AMET)

Strategic Tech

Architecture modernization initiatives are strategic efforts involving many teams, usually for many months or years. An AMET is an architecture Enabling Team that helps to coordinate and upskill all teams and stakeholders involved in a modernization initiative. They need a more loosely coupled architecture and empowered teams.

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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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Detecting Speech and Music in Audio Content

The Netflix TechBlog

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Content, genre and languages Instead of augmenting or synthesizing training data, we sample the large scale data available in the Netflix catalog with noisy labels.

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Measuring the importance of data quality to causal AI success

Dynatrace

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. Because IT systems change often, AI models trained only on historical data struggle to diagnose novel events. That’s where causal AI can help.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. This is equivalent to driving 123 gas-powered cars for a whole year.

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Detecting Scene Changes in Audiovisual Content

The Netflix TechBlog

To address the first challenge, we use pre trained sentence-level embeddings, e.g. from an embedding model optimized for paraphrase identification , to represent text in both sources. However, it presupposes the availability of high-quality screenplays.

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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

Much of the ML literature focuses on model training, evaluation, and scoring. Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. Due to the bespoke nature of the implementation, we lacked catalog wide searches for all available ML sources.

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