Architecture Artificial Inteligence Film Metrics 
CIO
JUNE 21, 2023
Integrating artificial intelligence into business has spawned enterprise-wide automation. A common but critical challenge I hear from CIOs, CTOs, and CDOs every day is that they have a difficult time helping the C-suite understand that IT is the very architecture for the future of business, not a cost center.
Altexsoft
MAY 12, 2022
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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John Snow Labs
DECEMBER 26, 2023
With the proliferation of user-generated content, leveraging the power of sentiment analysis on this dataset allows for a comprehensive understanding of viewers’ perspectives and provides valuable insights for film producers, directors, and distributors to comprehend audience preferences, improve storytelling techniques, and make informed decisions.
Netflix Tech
DECEMBER 10, 2020
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).
Altexsoft
JULY 27, 2021
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. Model-based. Content-based filtering example.
AWS Machine Learning - AI
FEBRUARY 19, 2024
model in Amazon Bedrock to randomly generate seven different products, each with three variants, using the following prompt: Generate a list of 7 items description for an online e-commerce shop, each comes with 3 variants of color or type. His main research interests are object detection and learning with limited annotations.
John Snow Labs
JUNE 6, 2023
Sequence classification with transformers is a powerful technique in the field of natural language processing (NLP) that involves predicting a label or category for a sequence of data. This has led to significant advances in a variety of applications, from sentiment analysis and language translation to speech recognition and image captioning.
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