

The A.I. Black Hole: Why Data & Integrations Matter
Tuesday, May 19, 2026 2:15 PM to 2:45 PM · 30 min. (America/Los_Angeles)
Learning Stage 4, EXPO, South Hall, Level One
Learning Stage (Product Demonstrations)
Learning Stage
Information
Here's the ugly truth about AI in 2026: most training organizations aren't feeding their AI tools data. They're feeding them chaos. Disconnected spreadsheets, orphaned LMS records, tribal knowledge trapped in someone's head. Instructor-led training gets hit the hardest, with critical data scattered across a dozen tools that have never spoken to each other.
If your AI investments produce a lot of 'work' but are not moving the needle, this presentation is for you.
The discussion will explore:
Why A.I. is critically vulnerable to ""garbage in, garbage out.""
How your training tools are quietly sabotaging each other.
Why buying more technology might make it worse.
Practical steps to reverse out of the A.I. black hole.
The training leaders who win in 2026 won't have the most AI tools. They'll be the ones who fixed their data first.
If your AI investments produce a lot of 'work' but are not moving the needle, this presentation is for you.
The discussion will explore:
Why A.I. is critically vulnerable to ""garbage in, garbage out.""
How your training tools are quietly sabotaging each other.
Why buying more technology might make it worse.
Practical steps to reverse out of the A.I. black hole.
The training leaders who win in 2026 won't have the most AI tools. They'll be the ones who fixed their data first.
Learning Objective 1:
Why data and integrations are the foundation of an A.I. strategy for training.
Learning Objective 2:
What has gone wrong in the learning tech space that slows A.I. ROI.
Learning Objective 3:
How to start fixing your garbage in/garbage out problem before it scales.
Format
In-Person
Schedule-At-A-Glance
EXPO Happenings
Speakers

John Peebles
CEOAdministrate