Here is my look at how to leverage IoT as part of managing your assets and operational cycles

1. ADOPTING
MANUFACTURING 4.0
Senior Data and AI Expert - Paul Young
CPA CGA

2. PAUL YOUNG – BIO
• CPA, CGA (1996)
• Academia (PF1, FA4, FN2, MU1. and MS2)
• SME – Customer Success Management
• SME – Risk Management
• SME – Close, Consolidate and Reporting
• SME – Public Policy
• SME – Emerging Technology
• SME – Business Process Change
• SME – Financial Solutions
• SME – Data Management and Integration
• SME – Macro/Micro Indicators
• SME – Supply Chain Management
• SME – Data, AI, Security, and Platform
• SME – Internal Controls and Auditing
Contact information email: Paul.Young_CGA@outlook.com
LinkedIn: https://www.linkedin.com/in/paul-young-055632b/

3. AGENDA
• What is Manufacturing 4.0?
• Supply Chain and Manufacturing 4.0
• How Data and AI can support manufacturing 4.0 as part reducing supply
chain disruption
• Supply chain optimization
• Workforce optimization
• Data Science and Finance Teams
• Data Management

4. WHAT IS MANUFACTURING 4.0
Source - https://www.themiddlemarket.com/news-analysis/industry-4-0-
the-next-manufacturing-ma-wave-for-pe

5. SUPPLY CHAIN AND MANUFACTURING
4.0
Source - https://home.kpmg/ca/en/home/insights/2021/10/supply-chain-transformation-
with-industry.html

6. DATA AND AI WITH MANUFACTURING
4.0
How can Data and AI better support Manufacturing 4.0 through better supply chain
management including customer demand:
• AI can provide more insight into customer demands
• AI can support supply chain optimization
• AI can better support utilization and uptime
• AI can better support management of raw materials and other input costs as part of the
manufacturing process
• AI and data can help manufacturers innovate as part of net-zero through better
management of flow including reporting of ESG
Additional Link - https://ibm.box.com/s/rsp6p9tez8uru9fo0wu5d13bxt7rtrr0

7. SUPPLY CHAIN OPTIMIZATION

8. WORKFORCE OPTIMIZATION

9. DATA SCIENCE AND FINANCE TEAMS

10. DEMAND FORECASTING

11. INDUSTRY 4.0

12. DATA MANAGEMENT
Data Management will play a key role as part of pushing out real-time analytics -
https://www.datastax.com/products/real-time-ai

13. SINGLE STORE DB

14. DATA MANAGEMENT STRATEGY
Blog - Data Management and the Right Strategy - IoT and Sustainability – https://www.linkedin.com/posts/paul-
young-055632b_the-top-10-technology-trends-to-watch-in-activity-7036269916559196160-
RXhi?utm_source=share&utm_medium=member_desktop
Both the private and public sectors continue to look at the best ways to adopt technology as part of streamlining
their operations as they focus on getting to net zero. Data Management will become a key area as part of driving
better outcomes. We are heading to data transformation areas that will requiring both the private and public
sectors to look at ways to better integrate data across their organizations and platforms!
https://www.linkedin.com/posts/paul-young-055632b_the-top-10-technology-trends-to-watch-in-activity-
7036268143366873088-Xut9?utm_source=share&utm_medium=member_desktop

15. REAL TIME ANALYTICS
• Pulling in data in real time through data management through SingleStore DB with Analytical tools like
Planning Analytics.

16. WHAT IS NEXT
• Adopting 4.0 will take proper planning including engaging with a technology partner that can help review
your operations as part of building out an architecture and solution.