CAIO Connect.
Stream · Contextualize · Act · Trust
For VPs of Data Platform Engineering and AI leaders: streaming is the top investment priority, yet only a third have agentic AI actually in production.
The gap between investing and deploying.
A closed-door conversation for data and AI leaders on what real-time context changes for agents, and why batch pipelines keep stalling production deployment.
88% of IT leaders rank data streaming as a high investment priority, yet only 32% have agentic AI running in production. 72% say a lack of real-time data infrastructure is what is stalling their efforts to scale AI.
Confluent now offers a fully managed Model Context Protocol server and Agent Skills, letting AI agents manage streaming operations directly, integrated with Apache Flink pipelines and dbt.
What we'll be exploring.
Talking points on the table include, but are not limited to:
Investment ahead of deployment
What sits between a streaming budget and agentic AI that actually runs in production.
A managed MCP server
What direct agent access to live streams changes about architecture and about risk.
Real time versus yesterday
Why batch-fed agents reach the wrong conclusion confidently, and how teams notice.
Flink and dbt in the loop
Where stream processing and transformation sit once agents are consuming the output.
APAC Series. Six cities.
If you want to be competitive, your AI cannot be looking in the rearview mirror.
Sean Falconer, Head of AI, Confluent
Brought to you by Confluent and Innovatus Media.
Confluent is the data streaming platform that more than 6,500 enterprises, including 40% of the Fortune 500, rely on to power real-time operations and give AI agents access to trusted, live data.
Your session host
Each city session is chaired by an Innovatus Media host alongside a Confluent speaker local to the region.
Host name to be confirmed per city.
Save your seat for CAIO Connect.
This is an invite-only executive roundtable. Register your interest and we'll confirm your city, venue, and date as they're locked in.