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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning - AI

This post shows how DPG Media introduced AI-powered processes using Amazon Bedrock and Amazon Transcribe into its video publication pipelines in just 4 weeks, as an evolution towards more automated annotation systems. Variability in content volume – They offer a range of content volume, from single-episode films to multi-season series.

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Glass rethinks the smartphone camera through an old-school cinema lens

TechCrunch

Films weren’t always widescreen. Originally they were more likely to be approximately the shape of a 35mm film frame, for obvious reasons. If you matted out the top and bottom, you could project a widescreen image, which people liked — but you were basically just zooming in on a part of the film, which you paid for in detail.

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AI agents will transform business processes — and magnify risks

CIO

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. NASA’s Jet Propulsion Laboratory, for example, uses multiagent systems to ensure its clean rooms stay clean so nothing contaminates flight hardware bound for other planets.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning - AI

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

Altexsoft

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

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Simulation Theory, Observability, and Modern Software Practices

Honeycomb

The 1981 book Simulacra and Simulation by Jean Baudrillard is widely read and cited within academic circles but also permeates popular culture, influencing films, literature, and art. s favorite three buzzwords (logs, metrics, and traces), we can draw several analogies to understand software development and debugging.

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Customer Experience is a Team Sport

IDC

CX improvement must become a top initiative for CMOs or marketing will be the proverbial canary in the coal mine – the first to be blamed if the pipeline erodes due to customers’ poor experience. Behind the scenes is a massive support system. A film production company assembles a tiger team to produce a movie.

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