From Hallucinations to Certainty: The Missing Knowledge Layer for AI
Learn how to ground AI in Real Product Knowledge and eliminate hallucinations.
Hosts: Daniel Kimber & Danielle Wilson
Duration: 30 Min
Live Session
Overview
What this session covers
A practical discussion focused on real-world challenges and applied approaches.
Date: Feb 24th
Time: 11:00 AM PST
Location: Online
AI doesn’t fail because the models are bad. It fails because the knowledge underneath it is scattered, outdated, and unowned.
As products evolve, critical knowledge lives everywhere: Slack threads, walkthrough videos, tickets, internal workflows, and in the heads of a few experts. When AI is built on this messy reality, it confidently gives wrong answers, creates inconsistent experiences, and erodes trust in your tools.
In this 30-minute live session, join us to see how to turn fragmented knowledge into a single, living layer that powers AI, teams, and self-service.
You’ll walk away knowing how to:
- Deliver AI experiences that are accurate, personalized, and grounded in real product context
- Automatically capture high-value knowledge from Slack, docs, videos, and workflows
- Avoid the pitfalls of traditional KBs, RAG pipelines, and AI tools that break at scale
- Build a knowledge foundation that grows as products, teams, and AI use cases expand
If you’re responsible for AI, CX, or enabling teams with AI-powered tools, this session will show you how to move from experimental AI to dependable, value-driving.
Hosts
The people behind this session
Daniel Kimber
CEO & Co-founder, Brainfish
Dani Wilson
GTM, Brainfish