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.
We're sitting down with Sam Garfield, Analytics Engineer, for a candid conversation about the messy reality of making data work for AI—and the practical steps that actually move the needle.
What you’ll learn:
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Whether you’re a data engineer future-proofing your stack or a technical leader mapping your AI strategy, you'll come away with practical insights for making your data truly AI-ready.
We’ll save plenty of time for Q&A—bring your questions about data prep, AI implementation, and turning insights into automated action.
Retool is a developer platform for building custom internal tools remarkably fast. It connects to databases, APIs, and LLMs, allowing you to create powerful apps without needing extensive coding skills. Retool is designed to save time and streamline the process of building internal software, making it accessible for both developers and non-developers.