Siemens is sitting on a mountain of data. But raw data isn’t the same as trustworthy data. And without trust, AI can’t deliver real value. That's where dbt comes in. With dbt, they can: 📊 Ensure AI models are built on reliable, well-defined data ⚡ Move quickly without sacrificing data integrity 💰 Optimize costs by understanding the impact of transformations 🔄 Stay platform-agnostic, maintaining flexibility in their tech stack 🤝 Tap into an open, expert-driven community Tobi Humpert shares how Siemens is making its data reliable, reusable, and ready for AI.
Student at University of Pennsylvania
3wadd Temporal Technologies.