In a new episode of the Snowpal Polyglot Software Development Podcast, ModelOp VP of Product Dave Trier sat down with host Krish Palaniappan for a wide-ranging discussion on one of the most pressing challenges facing enterprise tech leaders today: how to scale AI initiatives safely, efficiently, and with cross-functional trust.
“There isn’t agreement — and therefore enough trust — across all the different teams that these AI solutions aren’t going to cause harm,” said Trier. “Whether that’s reputational, financial, or regulatory — those risks are top of mind, and without governance, projects get stuck.”
The conversation spans both strategic and technical territory. Dave offers practical guidance on implementing generative AI in large organizations, including:
- Real-world RAG architectures using vector databases and foundation models
- How to choose the right model for your use case — and why agility matters
- The rise of agentic AI systems and the shift toward conversational interfaces
- What makes trust the “missing layer” in many enterprise AI pipelines
Throughout the episode, Dave returns to a central insight: it’s not about picking the flashiest tool — it’s about aligning teams, defining the use case, and applying consistent oversight.
“Tech is great — but unless it’s actually going to move the needle on my business, then it’s worthless,” Trier added. “That’s why we focus on the use case first, then map in the right architecture and governance.”
From startup developers to Fortune 500 AI leaders, this episode offers something for everyone trying to navigate the complex, high-stakes world of enterprise AI.
