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Manufacturing AI·DX ROI Playbook - How to Turn AX Technology into a 90-Day Project

Are you feeling frustrated after receiving a vague order to "go buy some AI," without knowing where to apply it to actually make a profit? 😰 Forget the flashy technical pitches from vendors—we’ll show you practical design methods to prove ROI on the manufacturing floor within 90 days! 🛠️ Double your factory's AX adoption success rate with expert know-how that saves billions of won in trial and error! 💰📈

4 learners are taking this course

Level Beginner

Course period Unlimited

  • fleem826937
Generative AI
Generative AI
Generative AI
Generative AI

What you will gain after the course

  • The foresight to distinguish between 'winning spots' and 'losing spots' from an ROI perspective rather than a technological one.

  • Completion of the 90-day PoC canvas and implementation checklist for each of the 5 core DX technologies

  • Designing operational routines to avoid on-site failure patterns such as false calls (over-detection) and alarm fatigue.

  • The ability to set core KPIs for each technology to prove Hard ROI and Soft ROI through numerical data.

  • Creating a 'Priority Matrix' to identify the most urgent tasks for our factory

Are you suffering because of your manager's single remark, "Go buy some AI for us too"? 😰 Congratulations! You've come to the right place. If you don't want to be swayed by a vendor's flashy technical presentation and end up adopting "expensive trash," hop on this lecture right now! 🚀


🤖 "AI is not about shopping; it's about design."

Why do most manufacturing AI implementations fail at the PoC stage? It’s not because of a lack of technology. It’s because they failed to identify 'where the money is.' This course strictly avoids listing vendor advantages and instead provides a practical playbook for proving ROI (Return on Investment) within 90 days from the perspective of an implementation manager.


💡 3 Reasons Why This Course Is Special

  1. Strictly ROI-focused: We relentlessly dig into "where to apply it to make money" rather than "what AI is."

  2. Avoiding Failure Patterns: We teach you how to elegantly avoid the Top 3 On-site Pitfalls—such as false rejects (over-detection), alarm fatigue, and resistance from the field—that can result in losses of hundreds of millions of won.

  3. Immediately Actionable Tools: By the end of the lecture, you will have a 90-day PoC Canvas and an Implementation Checklist for each technology in your hands.


🛠️ Manufacturing DX Master Plan: Complete in 7 Lectures

  • Vision AI: A two-stage gate operation method to save production lines dying from pseudo-defects

  • Predictive Maintenance (PdM): The foresight to boldly let go of areas that do not break down

  • Process Optimization: How to let go of 3D twin ambitions and focus on a single KPI

  • Logistics Automation: Operating rules and communication roadmaps that are more important than the number of robots

  • Field Guide: Designing for 'Compliance' instead of wearables that workers dislike


I have paid the expensive tuition (hundreds of millions of won in sunk costs) on your behalf. For the price of a few cups of coffee, you can skip the trial and error all at once and become a successful AX implementation lead! 💰📈

Recommended for
these people

Who is this course right for?

  • Working-level professionals (Production Tech/Quality/IT·DT) who have been instructed by management to "implement some AI" but are feeling overwhelmed and unsure where to start.

  • Managers who are being criticized on-site because the expensive solutions they implemented are failing to deliver results due to false positives (over-detection) or a lack of operational management.

  • Factory planners who want to save hundreds of millions of won in sunk costs by identifying the truly profitable areas for AI implementation within their own plants.

  • Manufacturing experts who are curious about practical 'implementation and operation processes' that can actually be applied on-site, rather than just theoretical AI knowledge.

Need to know before starting?

  • Manufacturing site terminology

  • Field issue data

Hello
This is

22

Learners

3

Reviews

4.3

Rating

2

Courses

With over 15 years of experience in production technology and equipment engineering within the manufacturing sector, I have specialized in solving on-site challenges through data and systems. Starting with PC-based equipment control, I have built my expertise in systemic improvement by understanding process and equipment structures and analyzing manufacturing data flows and operational frameworks.
Currently, I design and implement practical solutions in the field of Manufacturing AX (AI & Digital Transformation), connecting data, processes, systems, and automation.

www.linkedin.com/in/기호-이-3015a317b

Curriculum

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7 lectures ∙ (48min)

Course Materials:

Lecture resources
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