AI and Data Group

The EBU's AI and Data Group defines the AI and Data Initiative strategy and priorities in order to support EBU Members' data usage and data-driven strategies. It brings together EBU Member delegates and EBU permanent services delegates, which are directly involved in carrying out strategic, managerial analytical, technological, legal, content-related or other types of activities related to data usage for their respective organizations.

The AI and Data Initiative is a corporate, cross sector and industrial initiative of the EBU. It was launched in July 2015 to help Members leverage data’s potential and remain relevant on a fast evolving competitive market.

The main purposes of the group are to:

• Identify EBU and Members’ needs and objectives to feed in Members’ data usage and data-driven strategies;
• Foster a comprehensive understanding across the EBU and within Member organisations with regard to data-related issues of relevance of the sector;
• Strengthen synergies among Members wherever appropriate;
• Develop and decide on the AI and Data Initiative action plan and workflows according to the above-mentioned needs and objectives;
• Propose priorities for the AI and Data InitiativeI in accordance with the general objectives of the EBU
• Coordinate and monitor the AI and Data Initiative activities as set in the action plan;
• Provide a forum to facilitate exchange of information and expertise among all participants;
• Set up and run a community network involving external academic and experts;
• Keep links and cooperation as appropriate with relevant institutional and civil society fora.

Related activities

The EBU aims to build a large collective dataset to help boost your Machine Learning applications. Visit and join the EBU ML Data Pool group.

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Co-Chairs

Léonard Bouchet, RTS (Switzerland)

Bob van de Velde, NPO (Netherlands)
 

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