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Dennis Hulsebos

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Technology Integration Specialist

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Profil

Registreringsdatum: 4 dec. 2024

Om

Dennis Hulsebos is the Technology Integration Specialist at DVJ Insights, where he focusses on improving workflows and integrating new technologies into the company’s research processes. He works on automating repetitive tasks, implementing AI tools, and developing solutions to make market research projects more efficient. Dennis takes a practical approach to technology integration, balancing automation with user-friendly systems that help the team work smarter. His interests lie in emerging technologies like large language models and natural language processing (NLP), which he uses to enhance DVJ’s ability to analyse and interpret data. By leveraging his technical skills and hands-on problem-solving, Dennis helps the team stay adaptable in an industry where technology evolves quickly.

Översikt

Email address
dennis.hulsebos@dvjresearchgroup.com
LinkedIn
https://www.linkedin.com/in/dennis-hulsebos-47b2ba208/

Inlägg (16)

25 juni 2026 ∙ 4  min
The Wrong Question: Choosing An AI Coding Platform Is Not About The Model
Most comparisons between AI coding tools begin with the wrong question. They ask which model writes the best code, which assistant performs best on benchmarks, or which platform produces the cleanest pull request. Those questions matter, especially for developers who need to trust the output. But they are not enough for a business decision. Organisations rarely adopt technology because it is technically impressive. They adopt technology when it fits into how people already work, how teams...
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12 mars 2026 ∙ 4  min
Redefining Completion in Modern Software Engineering
Many organisations now operate with multiple software development models. One model follows a traditional engineering structure focused on stability, formal validation, and controlled releases. Another model uses AI-native workflows integrated into development environments, where generative systems assist or even lead coding tasks. Both models use the term done to describe completion, but the meaning varies significantly. The difference arises from when uncertainty is absorbed, how confidence...
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19 feb. 2026 ∙ 4  min
When AI Starts Acting, Chat Stops Being the Interface
For a brief moment, chat felt like the natural endpoint of human–AI interaction. It was intuitive, flexible, and forgiving. You asked a question, the system responded, and you decided what to do with the answer. As long as AI remained an instrument for producing text, chat worked remarkably well. That logic breaks down the moment AI stops responding and starts acting. Once an AI system is capable of changing records, triggering workflows, deploying code, or modifying production systems, the...
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