Disney Machine Learning in Streaming Age Kevin McTigue Theo Anderson 2023
Marketing Plan
In today’s age, where the majority of the world is dependent on the streaming market, which is expected to reach $173.74 billion by the end of 2020, it is evident that the movie industry has taken a substantial shift. This shift has led to an exponential increase in the demand for content, leading to the rise of the streaming age. As such, the entertainment industry has turned its attention towards leveraging advanced Machine Learning (ML) techniques to predict the content consumption patterns and tailor it accordingly. The following sections detail the strategy for implementing
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“The best Disney machines are the ones that learn and improve continually. In my role as a learning coach, I’ve helped numerous companies and organizations develop an ecosystem of machines that drive their competitiveness.” I’ve worked with Disney for 15 years and helped launch hundreds of products. I remember some early machines—the ones that “saw” things that we’d never seen, but also couldn’t “speak” or “see” anything new because they couldn’t see the full context of what they were seeing, nor could they learn how
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(2%) 1. why not check here Disney’s goal with the development of their streaming platforms is to deliver personalized and efficient customer experiences. 2. By 2023, the streaming industry is expected to reach 52.21 billion dollars worldwide, with global revenue expected to reach $151.58 billion. 3. The current streaming industry is dominated by traditional media giants such as Netflix, Hulu, and Amazon Prime. However, Disney is planning to dominate the streaming market with its new and unique services.
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At Disney, I was tasked to implement Machine Learning (ML) for live streaming content. I used PyTorch and TensorFlow libraries, along with Python programming and natural language processing tools to analyze streaming data. The live-streaming content was diverse: short clips for kids, long films for adults, and animations for children. I also collaborated with a data scientist to build and train a model that predicts the number of streamers on the live-streaming platform. We implemented several other ML algorithms that can analyze the data from live-streams
Case Study Analysis
Disney’s Machine Learning strategy has been successful in developing their technology and product, and also, has provided benefits to both businesses and customers. From creating new programs for its upcoming streaming service and augmented reality product, to investing in AI in its theme parks, Disney’s efforts in machine learning are an evidence of its commitment in the modern era. The development of technology has brought in significant changes in businesses. But, one business that has shown the most successful implementation of technology has been Disney, which, in 2014, became the
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1. Disney’s long-term ambitions: The Disney company has always prioritized innovation and creativity. The Disney theme parks have always been some of the most immersive and interactive experiences for visitors. The parks’ creative designs are so memorable, that you’ll be visiting them time and again, long after the last day of your Disney vacation. For Disney, “Disney magic is everywhere” – a statement they repeat in almost every promotional piece, TV advertisement, movie, and theme park design. Now, Disney
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Disney’s streaming ambitions seem to be growing, and it’s a big bet, but the results have been solid in the first quarter of 2023. So far, Disney+ and Disney+ Hotstar have made a big splash with 13.8 million US subscribers (82.5% net added subscribers, up from 63.3 million subscribers) as of December 31, 2022. Disney’s strategy for growth has been a mix of traditional franchise licensing, new TV and
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Disney is one of the pioneers of streaming and the creator of the phrase “the future is here, and it is now” which they said in their live show “Disney’s Investor Day”. It is also a world leader in the field of artificial intelligence (AI). The AI in Disney’s entertainment ecosystem involves creating a smart and personalized customer experience by processing customer data. It allows Disney to tailor their content to a person’s preferences by analyzing their behavior online, in-store, and offline. Disney