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10-11 September 2025

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6 Must-haves bij data governance

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10-11 September 2025 | Jaarbeurs Utrecht Become an exhibitor? For visitors

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2024

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2024

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All the information about exhibiting in one document.

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Speakers

About this edition

Speakers

2024

Giving a lecture

Program Blog & Knowledge

Blog & Knowledge

Ontdek

Blog

Uitgelicht

6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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Big Data Expo Vorm F (1) Big Data Expo Vorm E (1)

How Klaverblad Insurance is enhancing its claim handling using GenAI

Wednesday 16:30 - 17:00
Lezingenzaal 8
Jeroen Overschie

Machine Learning Engineer (Xebia Data)

Linkedin Meer over deze spreker

The rise of Generative AI (GenAI) is transforming businesses by offering powerful tools that can enhance efficiency. Klaverblad, a Dutch insurance company, is further improving the quality and consistency of its injury claims handling. The first step lies in deploying a GenAI-powered pilot of adigital knowledge assistant, tailored to help Klaverblad's employees in claims processing. The digital assistant is to help provide guidance to junior staff, by navigating through extensive internal and external guidelines, as well as Klaverblad's proprietary systems and workflows. Moreover, it is to gives instructions and knowledge to juniors for proper claim valuation and documentation handling. By addressing the distinct needs of the injury claims domain, Klaverblad seeks to bring junior insurance professionals up to speed faster, while redirecting their senior professional’s time away from assisting junior colleagues towards more high-value work which directly benefits the customer.

During this talk, Klaverblad and Xebia will dive deeper into how they leverage various components, such as OpenAI, Azure Search and Langfuse, to build such an assistant. Next to technical details, we will give practical insights on how to bring such applications into production.

The talk aims to aid ML engineers, data scientists, and platform engineers with the knowledge and tools to address the challenges of building and managing LLM applications in production environments.

Sander van Donkelaar

Machine Learning Engineer (Xebia)

Linkedin Meer over deze spreker

The rise of Generative AI (GenAI) is transforming businesses by offering powerful tools that can enhance efficiency. Klaverblad, a Dutch insurance company, is further improving the quality and consistency of its injury claims handling. The first step lies in deploying a GenAI-powered pilot of adigital knowledge assistant, tailored to help Klaverblad's employees in claims processing. The digital assistant is to help provide guidance to junior staff, by navigating through extensive internal and external guidelines, as well as Klaverblad's proprietary systems and workflows. Moreover, it is to gives instructions and knowledge to juniors for proper claim valuation and documentation handling. By addressing the distinct needs of the injury claims domain, Klaverblad seeks to bring junior insurance professionals up to speed faster, while redirecting their senior professional’s time away from assisting junior colleagues towards more high-value work which directly benefits the customer.

During this talk, Klaverblad and Xebia will dive deeper into how they leverage various components, such as OpenAI, Azure Search and Langfuse, to build such an assistant. Next to technical details, we will give practical insights on how to bring such applications into production.

The talk aims to aid ML engineers, data scientists, and platform engineers with the knowledge and tools to address the challenges of building and managing LLM applications in production environments.

Olga Verburg

Sr. Manager Optimization & Innovation (Klaverblad Verzekeringen)

Linkedin Meer over deze spreker

The rise of Generative AI (GenAI) is transforming businesses by offering powerful tools that can enhance efficiency. Klaverblad, a Dutch insurance company, is further improving the quality and consistency of its injury claims handling. The first step lies in deploying a GenAI-powered pilot of adigital knowledge assistant, tailored to help Klaverblad's employees in claims processing. The digital assistant is to help provide guidance to junior staff, by navigating through extensive internal and external guidelines, as well as Klaverblad's proprietary systems and workflows. Moreover, it is to gives instructions and knowledge to juniors for proper claim valuation and documentation handling. By addressing the distinct needs of the injury claims domain, Klaverblad seeks to bring junior insurance professionals up to speed faster, while redirecting their senior professional’s time away from assisting junior colleagues towards more high-value work which directly benefits the customer.

During this talk, Klaverblad and Xebia will dive deeper into how they leverage various components, such as OpenAI, Azure Search and Langfuse, to build such an assistant. Next to technical details, we will give practical insights on how to bring such applications into production.

The talk aims to aid ML engineers, data scientists, and platform engineers with the knowledge and tools to address the challenges of building and managing LLM applications in production environments.

Roeland van der Molen

Product Owner Data & Business Intelligence (Klaverblad Verzekeringen)

Linkedin Meer over deze spreker

The rise of Generative AI (GenAI) is transforming businesses by offering powerful tools that can enhance efficiency. Klaverblad, a Dutch insurance company, is further improving the quality and consistency of its injury claims handling. The first step lies in deploying a GenAI-powered pilot of adigital knowledge assistant, tailored to help Klaverblad's employees in claims processing. The digital assistant is to help provide guidance to junior staff, by navigating through extensive internal and external guidelines, as well as Klaverblad's proprietary systems and workflows. Moreover, it is to gives instructions and knowledge to juniors for proper claim valuation and documentation handling. By addressing the distinct needs of the injury claims domain, Klaverblad seeks to bring junior insurance professionals up to speed faster, while redirecting their senior professional’s time away from assisting junior colleagues towards more high-value work which directly benefits the customer.

During this talk, Klaverblad and Xebia will dive deeper into how they leverage various components, such as OpenAI, Azure Search and Langfuse, to build such an assistant. Next to technical details, we will give practical insights on how to bring such applications into production.

The talk aims to aid ML engineers, data scientists, and platform engineers with the knowledge and tools to address the challenges of building and managing LLM applications in production environments.

The rise of Generative AI (GenAI) is transforming businesses by offering powerful tools that can enhance efficiency. Klaverblad, a Dutch insurance company, is further improving the quality and consistency of its injury claims handling. The first step lies in deploying a GenAI-powered pilot of adigital knowledge assistant, tailored to help Klaverblad's employees in claims processing. The digital assistant is to help provide guidance to junior staff, by navigating through extensive internal and external guidelines, as well as Klaverblad's proprietary systems and workflows. Moreover, it is to gives instructions and knowledge to juniors for proper claim valuation and documentation handling. By addressing the distinct needs of the injury claims domain, Klaverblad seeks to bring junior insurance professionals up to speed faster, while redirecting their senior professional’s time away from assisting junior colleagues towards more high-value work which directly benefits the customer.

During this talk, Klaverblad and Xebia will dive deeper into how they leverage various components, such as OpenAI, Azure Search and Langfuse, to build such an assistant. Next to technical details, we will give practical insights on how to bring such applications into production.

The talk aims to aid ML engineers, data scientists, and platform engineers with the knowledge and tools to address the challenges of building and managing LLM applications in production environments.

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