Use case: Use of AI in (audiobook) publishing
How can I improve content management in my (audiobook) publishing company and automatically create personalised recommendations for my customers?
Efficient management and personalisation of book and audiobook content
When it comes to the use of artificial intelligence, both book and audiobook publishers are still very concerned about the dangers and risks of AI.
However, when it comes to data management, the use of AI offers promising efficiency gains and cost savings.
Publishers face the challenge of managing and delivering a vast collection of titles, covers, content and metadata across their systems and online stores. At best, this should go beyond standardised data.
At the same time, publishers want to ensure that customers receive relevant and personalised recommendations. Analysing how customers read is crucial to continually improving the service offered.
Deep Media Analyzer
DeepVA provides a comprehensive solution for book and audiobook publishers to optimise the management and personalisation of content in their internal systems and online stores. This solution includes automated keywording of titles, covers and content using AI capabilities. This enables efficient categorisation and improves the discoverability of products in the online stores, making it easier for customers to find the books and audiobooks that match their interests.
More knowledge for better recommendations
What results can be achieved?
faster data acquisition
The use of AI in the (audio book) publishing industry
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