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Supporting content decision makers with machine learning

Netflix Tech

Our catalog of thousands of films and series caters to 195M+ members in over 190 countries who span a broad and diverse range of tastes. The commissioning of a series or film, which we refer to as a title , is a creative decision. as is the uncertainty of the outcome (it is difficult to predict which shows or films will become hits).

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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

Altexsoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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11 most in-demand gen AI jobs companies are hiring for

CIO

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

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Get your data AI-ready

CIO

Across industries, 78 % of executives rank scaling AI and machine learning (ML) use cases to create business value as their top priority over the next three years. The main reason is that it is difficult and time-consuming to consolidate, process, label, clean, and protect the information at scale to train AI models.

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Generative AI is pushing unstructured data to center stage

CIO

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data. What’s hiding in your unstructured data?

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

Altexsoft

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Content-based filtering example. Model-based.

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Building In-Video Search

Netflix Tech

You don’t know if that shot exists or where it is in the film, and you have to look for it it by scrubbing through the whole film. Exploding cars —  The Gray Man (2022) Or suppose it’s Christmas, and you want to create a great instagram piece out all the best scenes across Netflix films of people shouting “Merry Christmas”!

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