and How Manufacturers Can Build an AI-Ready Architecture in 2026
A practical session for manufacturing leaders who need AI to deliver real operational results — not stalled pilots, broken dashboards, and wasted spend.
What You’ll Get From This Session
In 45 minutes, you’ll learn:
why most manufacturing AI initiatives fail — and where the real bottleneck is
how to identify data fragmentation across production, quality, and supply chain
what an AI-ready manufacturing data foundation actually requires
where Databricks fits — and where it doesn’t
the four-stage modernization model:
Paper → Digital → Unified → Intelligentwhat a realistic 90-day path to AI readiness looks like
This is not an AI trends webinar. You’ll leave knowing whether your organization is actually ready for AI.
Who This Is For
Manufacturing leaders responsible for operational outcomes:
manufacturing, operations, or production leadership
engineering and industrial engineering
CIO, CTO, and data leadership
plant managers and Industry 4.0 teams
Especially relevant if:
data still lives on paper or spreadsheets
core systems don’t connect cleanly
AI is on your 2026 roadmap or already consuming budget
Agenda
Why Manufacturing AI Initiatives Fail
The Data Foundation Required for AI
Databricks in Manufacturing: What It Enables
Modernization Framework
Architecture Walkthrough
90-Day Path to AI Readiness
Live Q&A
TribalScale helps manufacturers modernize how data is captured, unified, and used — so analytics, automation, and AI can scale on Databricks.
