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In today's race to deploy cutting-edge GenAI solutions, slowing down might be the smartest move your organization makes. In this episode of The Generative Edge, Donovan Spronk (Deloitte Central Europe) and Vyasaraj Kulkarni (AWS) sit down with David Thogmartin, AI Partner at Deloitte Germany, to unpack what it takes to build AI systems that are not just fast—but trustworthy, reliable, and ready for scale.
Drawing from deep client experience and regulatory insight, David explains why trust isn't a "nice to have"—it's a core accelerator for AI adoption, performance, and long-term success.
What's inside:
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Why trustworthy AI starts with transparency, fairness, and security
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How legal frameworks like the EU AI Act are shaping the future
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Real-world risks of skipping over quality—and how to avoid them
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What business leaders can do now to build trust into every AI use case
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The rise of Agentic AI and why the stakes are getting higher
Whether you're leading strategy, driving innovation, or building the tech itself—this episode is your reminder that rushing AI comes at a cost, and trust is the key to doing it right.
Remember: Trust isn't a delay—it's a multiplier.
Additional Resources on Trustworthy AI from David and his team:
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