For Ritzau, one of Denmark’s leading media agencies, digital transformation and harnessing the potential of generative AI has long been a strategic focus area. Therefore, they entered a collaboration with Neurospace. Together, we have assessed how they can become an even stronger media house with a more data-driven approach and greater focus on AI, which at the same time establishes them as a constantly evolving media house.

The collaboration was facilitated over 2 sessions, the goal of which was to make Ritzau even more aware of the opportunities that data and AI can create for them, as well as to concretize an action plan for their journey towards becoming a more data-driven and AI-supported organization.

Summary

Neurospace helped Ritzau Bureau get started with their data and AI strategy through a two-day consulting session, also known as a Data and AI assessment. The first day focused on creating a common language for AI and the media industry, as well as clarifying their current setup and strategic goals. The second day was more hands-on, where we worked with the IT department and the AI ​​team to discuss different options and solutions for Ritzau.

Their journey had only just begun, but they have already taken the first decisive steps towards a future where generative AI becomes an integral part of their organization.

The first day was spent creating a common language around data, AI and the media industry – a foundation for mutual understanding and collaboration. We entered the dialogue with Ritzau with an open and vulnerable approach, where we both shared our knowledge and actively learned from their experiences and insights into the media industry. This ensured a dynamic characterized by mutual respect, where we not only guided, but also grew wiser together.

It was important to ensure that all stakeholders at Ritzau had a basic understanding of what AI can – and cannot – do, as well as the resources and structures needed for a successful implementation. Through an open dialogue, we discussed different data platform solutions, tools and architectures, explained their use cases and benefits, and explored concrete scenarios where generative AI could create value for Ritzau.

At the same time, we learned about their current setup, existing data platform, technological maturity and long-term AI strategy, which gave us important insight into their reality.

The second session was executed 2 weeks after the first session, which gave us time to reflect and come up with concrete and relevant proposals for their strategy. The second session also had a more hands-on approach, where the focus was on translating the strategy into action. Together with Ritzau’s IT department and AI Team, we delved into their opportunities and the path to get there. We examined how they can utilize their initiatives more effectively with current structures and identified concrete opportunities for optimization and innovation.

The discussions focused on solutions that will solve the most pressing issues and help ‘do the dishes’ and free up more time for other important tasks. A central part of the conversation was Ritzau’s desire to take advantage of generative AI, where they can support their work processes. This could include image suggestions, image search, proofreading and text production in a specific tone-of-voice.

By the end of the day, Ritzau had a clear expectation on how to move forward and best approach their approach to implementing AI. Ritzau now has a clear direction and has identified specific areas where AI can create great value for them as an organization.