Every manufacturing leader has heard it by now: "You need to modernize with AI."
It's in every trade publication, every conference keynote, every vendor pitch. But nobody's answering the questions that actually matter to you:
This webinar answers those questions — plainly, practically, with real examples from manufacturers like you.
Led by someone who's spent over two decades building AI for manufacturing — from the factory floor to the back office.
What AI modernization actually means for a manufacturer your size — not theoretical, not hype, just what's working today in real factories
Where the ROI comes from — with real numbers from real manufacturers who've automated inventory, quality control, order processing, and production planning
Real stories from manufacturers who tried AI — what worked, what flopped, what they'd do differently
What lessons cost them money so you don't repeat them
How to start — not with $300K and a six-month implementation plan, but with something you can actually afford, actually deploy, and actually use next month
Who know AI is important but don't want to get sold vaporware or waste money on consultants who talk more than they deliver
Who need to hit efficiency targets but can't afford enterprise software or a dedicated IT team
Who've been asked to sign off on AI projects but want to see actual ROI before writing the check
Ruban founded DataRPM (acquired by Progress Software) — an AI analytics platform for manufacturing that served clients like GE, Samsung, Siemens, Jaguar Land Rover, and Mitsubishi.
Before that, he built machine learning systems at Yahoo for over a decade, ran engineering teams, and co-founded two other startups (both acquired).
He's spent 25+ years building AI that actually works — for manufacturers who needed results, not demos.
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