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Wil je op de hoogte blijven van de nieuwste ontwikkelingen in data, AI en software engineering? Onze blogs bieden waardevolle inzichten en expertise! Volg ook ons laatste nieuws om altijd up-to-date te blijven met relevante updates van Conclusion Intelligence.

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Elke maand sturen we je een zorgvuldig samengestelde selectie van expertblogs, whitepapers, inspirerende use cases en uitnodigingen voor exclusieve webinars & evenementen. Schrijf je in voor onze nieuwsbrief en blijf altijd op de hoogte van het laatste nieuws en de nieuwste inzichten!

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NIEUWS

Conclusion Continues European Expansion Growth

Business transformation and IT service provider Conclusion expands its activities in Europe by exporting its successful ecosystem formula in the DACH and Iberia regions [...]

Conclusion Intelligence Launch Event 2025

The Conclusion Intelligence Launch Event took place at the beautiful Chateau St Gerlach on February 21st, 2025. This internal event gave us a chance to reflect on our successes in 2024 and share our vision for the upcoming year [...]

Data & Innovation Conference in Düsseldorf!

We are excited to announce that our Data & Innovation Conference, formerly known as the Mediaan Spring Conference, will take place on May 16, 2025, in Düsseldorf [...]

Ontdek & leer

BLOGS

Humans working for AI Agents

A marketplace where humans get hired by AI may sound utopian, but it is actually real. On Rent a Human.ai individuals create profiles, define their location and skills, and can be booked for tasks. The central idea is straightforward but structurally significant: autonomous software agents can outsource physical-world tasks to real people [...]

Optimizing Customer Experience with AI-Driven Interactions

In today’s customer-centric world, organizations are facing ever-growing demands to deliver personalized, timely, and consistent interactions. Yet many struggle with fragmented data, high service volumes, and reactive processes [...]

Why you should combine Data Mesh with Microsoft Fabric

For many years, organizations relied heavily on centralized data warehouses and data lakes to support analytics. These architectures worked well when data volumes were modest and business demands predictable. Today, however, companies operate in a landscape defined by rapidly increasing data sources, complex domain-specific requirements, and rising regulatory pressure.

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