Driving Adoption as Consumption Patterns Change With AI
Learn what driving adoption means when your end users are both people and AI agents and consumption patterns have changed, and see how traces help an agentic data catalog improve with every question.
TRUSTED BY 500+ AI-FORWARD ENTERPRISES
About this Session
The way people find and use metadata has changed. They ask questions now, in plain language, wherever they already work, and they’re no longer the only ones asking. AI agents consume context too, through the MCP and the AI tools your teams use every day. That changes what driving adoption really means. We’ll start with the basics: how consumption patterns are shifting across the industry, what an agentic data catalog is, and what traces are and why they matter now. Then we’ll make it practical. You’ll see conversational AI, one of several ways people and agents now reach context, answer real questions live. And you’ll leave with tools you can put to work right away: an onboarding approach that gets new users to value faster, and a simple way to read traces so you know exactly what your users need next.

What you'll see
01
How consumption is changing
Your catalog has a new set of users: people and AI agents. See the different doors both now use, from conversational AI, Slack and Teams to the MCP, and why logins no longer tell you who's getting value.
02
What an agentic data catalog really is
A plain-language introduction to the agentic data catalog, and why it's measured by the answers people get rather than how many assets are documented.
03
Conversational AI, from first question to trusted answer
See how users go from finding answers just by asking to taking an action, all in one conversation. Then how to customize onboarding so every new user starts your way.
04
Traces, explained and put to work
Learn what traces are, how to read them across people and AI agents, and how to turn what they ask into a short list of what to fix next.
Upcoming Sessions
Learn what driving adoption means when your end users are both people and AI agents and consumption patterns have changed, and see how traces help an agentic data catalog improve with every question.

Steven Hloros
Customer Education Manager, Atlan





