Three lessons from our AI projects
Over two years, we supported dozens of AI projects, from initial exploration to a model that runs every night. Some went exactly as planned; others…
The cultural sector works to make an impact every day. On audiences, on the city, on society. But data & artificial intelligence (AI) are still barely used to understand and increase that impact.
Many cultural organisations rely on gut feeling, separate reports or fragmented data in Excel. Yet insight is needed now more than ever. Visitor behaviour is changing. Funding applications need evidence. Marketing budgets need to be spent more effectively. And programming needs to support a broader spread, diversity and audience loyalty.
At Data Science Lab, we help cultural organisations work in a data-driven way. Not as a one-off project, but as an integral part of the organisation. We combine technical expertise with our knowledge of the cultural sector.
Nationale Opera & Ballet and the Koninklijk Concertgebouworkest are already leading the way.
Take Nationale Opera & Ballet. More than 600 employees work there every day to put on internationally acclaimed performances. We assessed how data-driven the organisation is and mapped its data maturity. The result: an ambitious growth plan. We are now putting that plan into action and building a future-proof data platform that embeds data across the organisation. The goal: full houses, a broader audience and inclusion in every seat. Read how Nationale Opera & Ballet experiences working with us.
Or take the Koninklijk Concertgebouworkest. Acclaimed worldwide for its distinctive sound, it is now ready to take the next step in digitalisation. We are building a future-proof data platform that brings together data from ticket sales, programming, archives and communications. The result? More efficient work, better decision-making, more room to share a love of music and, most importantly, the preservation of 135 years of cultural heritage data. Read how the Koninklijk Concertgebouworkest experiences working with us.
“We don’t have a data department.”
“AI sounds expensive.”
“We don’t want yet another tool.”
We hear these concerns often, and they are understandable first reactions. But the reality? Working in a data-driven way brings real benefits.
Insights save time. Smart automation reduces manual work. And predictive models help you make better decisions, whether you’re planning programmes, attracting audiences or fundraising. Data & AI mean you spend less time on reporting, wrestling with Excel or planning reactively. That leaves more room for what matters: creativity, innovation and engaging audiences.
| Opportunity | What does it take? |
| Personalised audience experiences | Insights from data platforms, smart AI applications and a clear privacy policy |
| Efficient management & preservation of heritage | Digital infrastructure, AI models for archive analysis, expertise and an ethical framework |
| Data-driven decision-making | Centralised data storage/ data platform, analytical skills and clear data governance |
| Innovation in creation & storytelling | Access to AI tools, room to experiment and training for creators |
| Greater accessibility & inclusion | Inclusive technology, collaboration with communities and continuous monitoring |
We believe data and AI offer unprecedented opportunities to strengthen creativity, reach broader audiences and optimise processes. More insights. More impact. More audiences.
Successful implementation of data & AI starts with a shared vision, leadership and investment in people and technology. This can help the cultural sector become more innovative, relevant and inclusive for audiences and creators alike.
We’re the partner that can make this happen. We know the data & AI market inside out: we’ve been working in it for nine years. During that time, we’ve helped organisations navigate a complex, rapidly changing world.
In this complex world, we’re here to make things simple, clear and workable.
Book an introductory call here. One conversation is often enough to set a lot in motion.
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