Your Data is Holding Back Your AI (Here’s How to Fix It)

Most organizations have the LLM part of AI implementation figured out. The real challenge is building AI systems that can reliably access the right data, make decisions based on complete context, and take action without creating new problems.

Teams getting real value from AI aren’t just analyzing data—they’re building systems that act on it. Support tickets that automatically route based on customer context. Forms that pull relevant information from your CRM. Sales processes that qualify and prioritize leads based on behavior patterns.

Analytics Engineer Sam Garfield sits down for a candid conversation about the messy reality of making data work for AI—and the practical steps that actually move the needle.