AI for Business Intelligence in Manufacturing
This 2-day hands-on workshop enables manufacturing professionals, analysts, and system owners to harness the power of AI for data-driven decision-making. Participants will learn how to transform raw operational data into actionable business intelligence (BI) through AI-powered analytics, predictive modeling, and automation tools.
The workshop focuses on building intelligent dashboards, integrating production and maintenance data, and applying AI-driven insights to improve KPIs such as OEE, yield, and defect rates. Through guided labs, participants will experience how AI enhances forecasting, anomaly detection, and continuous improvement in manufacturing environments.
What You’ll learn:
- Explain how AI enhances business intelligence and decision-making in manufacturing.
- Collect, clean, and integrate data from different factory systems.
- Apply AI and machine learning techniques to detect patterns and generate insights.
- Build automated reports and dashboards using Power BI or Google Looker Studio.
- Use predictive analytics for forecasting and production optimization.
- Establish governance frameworks for data quality and compliance.
- Translate analytics results into operational improvements and cost savings.
- Develop an implementation plan for sustainable AI-driven BI practices.
Day 1: AI-Driven Insights and Data Foundations
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- Module 1: The Evolution of Business Intelligence – From Reporting to AI Analytics
- Module 2: Data Collection and Integration Across Factory Systems
- Module 3: AI Analytics Fundamentals – Predictive, Prescriptive, and Generative Models
- Module 4: Hands-On Lab – Building Your First AI-Driven BI Dashboard
- Module 5: Data Governance and Quality in AI Analytics
Day 1 Wrap-Up: Reflection – Turning Data into Decisions
Day 2: Advanced Analytics and Automation
- Module 6: Predictive Analytics for Maintenance and Production Efficiency
- Module 7: Using AI Agents for Automated Data Reporting and Alerts
- Module 8: Visualization Techniques for Real-Time Manufacturing KPIs
- Module 9: Hands-On Lab – Connecting AI Models to BI Tools
- Module 10: Capstone Project – Presenting Your AI-Powered BI Dashboard
Final Module: Implementation Roadmap – “From Data to Intelligent Decisions”
*Course fees before GST
Note that purchases of goods and services from GST-registered businesses will be subject to GST at 9% GST. The GST amount calculated will be based on full course fees.
• O Level and above
• A minimum of 3 years working experience
• Language proficiency is English, at GCE N’ Level
An applicant must be at least 18 years of age on admission to the programme.
1. All notice of withdrawal must be given in writing before the issuance of letter of confirmation. Once confirmation letter is sent to participant, no cancellation will be allowed or penalty charges will apply.
If notice of withdrawal is received:
– At least 1 week before commencement of the course, a 20% of the full course fee will be charged. For government-funded course, a 20% of full course fee before funding will be charged.
– Less than 1 week before commencement of the course, a 30% of the full course fee will be charged. For government-funded course, a 30% of full course fee before funding will be charged.
– No show on the scheduled date, a full course fee will be levied. For government-funded course, a full course fee before funding will be charged.
2. For all government-funded programmes (WSQ & Non-WSQ), funding is only applicable to:
– Singapore Citizens or Singapore Permanent Residents
– Participants who have achieved at least 75% attendance and passed all required assessments
Full course fee will be charged to participants who fail to meet the above-mentioned criteria.
3. When a course is cancelled, fail to commence or fail to complete under unforeseen circumstances, participant is allowed to defer the intake at no cost or withdraw from the course; under such situation, a full refund of the advance payment will be given.
4. Notice of change in participant’s name must be given in writing, not less than 5 days before the course commencement date.
5. SMF CCL reserves the right, at our sole discretion, to change, modify or otherwise alter these terms and conditions at any time. Such modifications shall become effective immediately upon the posting thereof.
6. SMF Centre for Corporate Learning Pte Ltd has a Data Protection Policy which provides more information about how we collect, use and disclose your personal data. Please click the link below to know more.
https://smfccl.sg/privacy/
1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal together with the appeal fee of $109.00 (inclusive of 9% GST).
9. The assessor can help the candidate with writing and lodging the appeal.
10. The assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.
