From Archive to Knowledge Assistant: Tempo Uses AI to Revitalize Its Journalistic Legacy

Tempo, a prominent Indonesian media organization, is leveraging artificial intelligence to breathe new life into its vast journalistic archive, accumulated over more than five decades. Since its inception in 1971, Tempo has produced thousands of investigative reports, articles, photographs, videos, and other documents, creating a rich repository of Indonesian history and journalism.

The challenge in the digital age, however, extends beyond content creation. Tempo is focusing on ensuring this extensive archive is easily rediscovered, securely managed, and effectively utilized by its newsroom and evolving readership. To achieve this, the organization is developing two major technological initiatives: a Digital Asset Management (DAM) system and 'Tempo Assistant,' an AI-powered chatbot.

These projects are not merely about adopting new technology; they represent a strategic effort to maintain the relevance of Tempo's journalistic legacy amidst changing information consumption habits. Tempo's innovative approach has earned international recognition, as it was selected as one of 11 media organizations worldwide for the JournalismAI Innovation Challenge, a program backed by the Google News Initiative.

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Tempo urgently needs to consolidate all its assets dating back to 1971 onto a single platform as a single source of truth to improve the efficiency and effectiveness of editorial work.

Gregorio Vincent Wijaya, Senior Product Manager and Project Lead, explained that the DAM system is crucial for consolidating Tempo's assets, dating back to 1971, into a single, centralized platform. This consolidation aims to improve the efficiency and effectiveness of editorial work, as assets have historically been scattered across various systems and formats. Deputy Chief Technology Officer Rianda Zulhamjani added that the DAM is designed not just for storage but for easy retrieval and reuse, emphasizing that an archive's value is maximized when its management system is centralized, organized, and searchable by context.

The DAM system will manage a wide array of assets, including photographs, articles, videos, audio files, infographics, and digitized print archives. Each item will be enhanced with metadata to facilitate advanced search capabilities. Chief Technology Officer Heru Tjatur highlighted that the DAM employs a contextual search approach, allowing users to find information not only through keywords but also by exploring relationships between events, people, locations, and time periods. This ensures that journalists can easily access and reuse historical content, enriching current reporting.

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Archive value can only be maximized if its management system is centralized, organized, and searchable by context.