


On September 26, Beacon, a one-stop publicity and distribution platform owned by Alibaba Pictures, officially launched an internal test of the intelligent publicity and distribution assistant function. This function is based on AI large model technology and explores innovative AI interactive application scenarios for the first time in the film promotion and distribution industry. At the same time, the Lighthouse Intelligent Promotion Assistant will provide real-time and in-depth data reference for film promotion through more segmented, more accurate and more efficient data analysis to cope with the rapid changes in the market. It is reported that this is the second time that the Lighthouse platform has applied AI large model technology after launching the AI box office prediction function. Starting from September 26, the first batch of users can submit an application for activation and experience internal testing on the Lighthouse Professional App. Subsequently, this feature will gradually be opened to more users
The 2023 summer market performed very well, not only setting new historical records in terms of total box office, number of moviegoers, and total number of screenings, but also announcing the film market with its "anti-experience" and "anti-prediction" dazzling results. The arrival of a new era. For film promotion and distribution practitioners, the data products of traditional promotion and distribution platforms are no longer able to meet the current complex and ever-changing market situation. In this context, the advent of the Lighthouse Intelligent Publicity Assistant provides a more practical and feasible direction to explore in adapting to market changes and improving publicity efficiency
The Lighthouse Intelligent Publicity Assistant is version 1.0, which has enabled dialogue and communication between users and the platform, and uses intelligent analysis to provide users with more segmented, more accurate, and more efficient data references. On the one hand, this function lowers the professional threshold for manual data analysis, and on the other hand, it further refines the granularity of data analysis, providing film promotion and distribution practitioners with accurate data by time and department, and using continuously trained and upgraded models to provide practitioners with Provide intelligent data integration and comparison. The intelligent publicity and distribution assistant also provides new functions such as real-time ticket crown map, time-sharing pre-sale data, historical record query, etc., further improving the comprehensiveness, real-time and intelligence of publicity and distribution data.
It is understood that Lighthouse has been committed to AI technology research. Prior to this, Lighthouse used large AI models for deep learning and successfully improved the accuracy of box office predictions, reaching a new level in the industry. Now, Beacon has launched an intelligent publicity and distribution assistant, which is an important step forward in real-time and efficiency in the field of film publicity and distribution
In the future, Lighthouse will continue to train data models to promote the iteration and upgrade of intelligent publicity assistants, including new functions such as public opinion analysis and intelligently generated pictures. In addition to movie data, intelligent analysis of drama and performance data will also become an important target area of Lighthouse Intelligent Publicity Assistant
With the deployment and implementation of more AI intelligent functions, Lighthouse will gradually become fully intelligent, transforming from traditional data products to a new AIGC technology platform, providing a strong new impetus for the intelligentization process of the cultural and entertainment publicity and distribution industry.
The above is the detailed content of Lighthouse Intelligent Publicity and Distribution Assistant starts internal testing and uses AI large models to explore ways to improve the efficiency of film publicity and distribution. For more information, please follow other related articles on the PHP Chinese website!

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