94. An AI Architect's Quest for Quality: Data, Governance, and Real-World Challenges - with Roelant Dieben
In this episode, we talk with Roelant Dieben, a cloud and AI architect at Sopra Steria, about his work in the .NET community and the evolving role of AI. He shares his passion for knowledge sharing and discusses AI's rapid advancements, as well as challenges like data quality and identifying good use cases. They also touch on the cooling AI hype, making this a prime time for practical implementations. Roelant emphasizes the need for governance, especially around data leakage, and they discuss AI's impact on developers, regression testing, and balancing budget, performance, and use cases in cloud and AI services.
About this episode, and Roelant Dieben in particular: you can find Roelant on X @RoelantDieben and LinkedIn.
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