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Operating Model Under Pressure: How Zilveren Kruis Is Redesigning Its Data & AI Model
Thursday 16:00 - 16:30
Lezingenzaal 5
Stefan Bakker
Head of Data & AI
Generative AI, large language models and AI agents, together with rising demand for self-service analytics and plug-and-play AI tools, are rapidly democratising data & AI and blurring the boundaries between business, data and IT. The traditional centrally facilitated pipeline-centric operating model can no longer keep up. In this session Zilveren Kruis, Netherlands’ largest health insurer, shows how they are modernising their operating model: enabling self-service while retaining enterprise control, rolling out AI productivity suites across the organisation, establishing new ways of working between business, data and IT, and redefining data roles so that innovation can be turned into reliable, compliant value at speed.
Steven Nooijen
Head of Data & AI Strategy
Generative AI, large language models and AI agents, together with rising demand for self-service analytics and plug-and-play AI tools, are rapidly democratising data & AI and blurring the boundaries between business, data and IT. The traditional centrally facilitated pipeline-centric operating model can no longer keep up. In this session Zilveren Kruis, Netherlands’ largest health insurer, shows how they are modernising their operating model: enabling self-service while retaining enterprise control, rolling out AI productivity suites across the organisation, establishing new ways of working between business, data and IT, and redefining data roles so that innovation can be turned into reliable, compliant value at speed.
Generative AI, large language models and AI agents, together with rising demand for self-service analytics and plug-and-play AI tools, are rapidly democratising data & AI and blurring the boundaries between business, data and IT. The traditional centrally facilitated pipeline-centric operating model can no longer keep up. In this session Zilveren Kruis, Netherlands’ largest health insurer, shows how they are modernising their operating model: enabling self-service while retaining enterprise control, rolling out AI productivity suites across the organisation, establishing new ways of working between business, data and IT, and redefining data roles so that innovation can be turned into reliable, compliant value at speed.
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