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Artificial Intelligence for Creative Business

Arvato Systems joins a Bertelsmann workshop as expert of Artificial Intelligence and Machine Learning

In January, Arvato Systems was invited to a workshop in New York, hosted by Bertelsmann Investments, in which colleagues from Penguin Random House, Fremantle, and BMG explored possible solutions for the use of Artificial Intelligence (AI) and Machine Learning (ML) within their diverse businesses.

Together with three startups from America’s tech hub Silicon Valley and Austin, Texas, Arvato Systems was invited as an expert in Artificial Intelligence and Machine Learning to support the other participating Bertelsmann divisions with suggestions of how to leverage the new technologies within their businesses.

At the beginning of the workshop, the Arvato Systems’ expert, Martin Anduschus, introduced some of our already existing AI and ML solutions before a representative from each division introduced the audience to current challenges which could be solved by the new technologies.

Nihar Malaviya

EVP and COO of Penguin Random House 

Workshop focus: Discoverability of books, their visibility in search rankings, and availability to retailers

Matt Foster

SVP Strategy & Commercial, Digital & Branded Entertainment at Fremantle

Workshop focus: Developing new shows, marketing measures, measuring the success of content, and general automation.

Andreas Katsambas

SVP Global Repertoire at BMG

Workshop focus: Opportunities across the music value chain, including composition, A&R, as well as contracts and payments. 

Following the presentations, the workshop participants formed smaller groups based on common interests and potential use cases. Within those groupings and with the support of the startups and Arvato Systems representatives, three use cases around AI/ML with the most cross-divisional potential were created. 

  1. What steps need to be taken before introducing AI/ML applications and how can these be implemented? That primarily involves the preparation, sorting, and aggregation of internal and external data.
  2. How can artificial intelligence help predict the success of a new book, song or movie before the product is released? That is to be accompanied by insights into why, for example, a book has sold particularly well or which playlists should be focused on when marketing a new single.
  3. AI-supported and custom purchase recommendations for consumers. 

This topic was also published in Bertelsmann's BENET on 01/30/2019.