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Boosting Media & Entertainment Production Efficiency with AI and Cloud

RandomTrees

The media and entertainment sector is being transformed on a new scale owing to technological progression. This article will explore why the integration of AI and cloud computing technologies into the media and entertainment sphere makes the production process more efficient at all stages, from development to marketing.

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Machine Learning in Entertainment: Customizing Movie Recommendations

WeCloudData

Explore the transformative impact of machine learning on the entertainment industry, from personalized content recommendations to AI-driven music and film production, enhancing viewer experiences. The post Machine Learning in Entertainment: Customizing Movie Recommendations appeared first on WeCloudData.

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How Advertising, Media & Entertainment and Manufacturing Companies Are Accelerating Data, Apps and AI Strategy in the Data Cloud

Snowflake

This year, we are expanding to five industry events featuring leaders sharing insights relevant to advertising, media and entertainment; manufacturing; healthcare and life sciences; financial services; and retail and consumer goods. Why attend Accelerate Advertising, Media & Entertainment? Ready to Accelerate?

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A ‘Fresh Squeeze on Data’ to Help Children Learn about Data, AI and Machine Learning

Cloudera

This year, we partnered with a team of educators specializing in K-12, ReadyAI , who are established authors of books for children with an inclusive approach to learning and advancing AI and technology concepts in an educational yet entertaining way. We are excited about these partnerships and collaborations.

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Supporting content decision makers with machine learning

Netflix Tech

To mitigate this uncertainty, executives throughout the entertainment industry have always consulted historical data to help characterize the potential audience of a title using comparable titles, if they exist. Figure 1: Similar title identification and audience sizing can be supported by a common learned title embedding.

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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. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms.

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Foundation Model for Personalized Recommendation

Netflix Tech

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. At Netflix, our mission is to entertain the world.