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1. Manufacturing Company

Caleb Victor Lu

The system architecture for manufacturing company:

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The Butler project addresses the digitization challenges faced by small and medium-sized enterprises (SMEs) lacking resources for transformation. The goal is to create an accessible app that equips SMEs with tools to enhance operations and competitiveness in today's digital era. 

Project Objectives 
The Butler aims to provide SMEs with a comprehensive solution to: 

1) Visualize Production Data: The Butler will offer user-friendly data visualization to help SMEs monitor and improve production processes efficiently. 

2) Simplify Knowledge Access: The app will streamline access to operation manuals and guidelines, facilitating swift troubleshooting and minimizing downtime. 

3) Navigate Standards and Regulations: The Butler will assist SMEs in understanding and adhering to industry standards and regulations, ensuring product quality and compliance. 

4) Market Insights: The app will offer market research insights, enabling SMEs to make informed decisions and develop effective marketing strategies.

5) Employee Training and Testing: The Butler will provide training modules and testing features to enhance employee skills and knowledge. 

//Pick one to work on...

Benefits for SMEs: The project offers SMEs numerous advantages: 

1) Affordability: The Butler provides cost-effective digital solutions tailored to SMEs' budget constraints. 

2) Ease of Use: The user-friendly interface ensures simple adoption and utilization of the app's features. 

3)Efficiency: By centralizing resources, The Butler reduces time spent on information retrieval and training, boosting productivity. 

4) Competitiveness: Access to insights, standards, and market data empowers SMEs to stay competitive and informed. 

The Butler is a crucial step toward SME digital transformation. By providing tailored tools, the project empowers SMEs to embrace digitalization, improve efficiency, and succeed in a digital business landscape. This initiative envisions a future where SMEs can leverage digital solutions to foster growth and competitiveness.

Robotics use cases

Refer to

https://lf-akraino.atlassian.net/wiki/spaces/AK/pages/13669797/CPS+Robot+Blueprint+family

Jeff Brower to upload the slides here.

2. Low-latency AI inference on Edge Cloud

Yona Cao 

Empower edge AI – Challenges at the Edge

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- Operational Data: Data generated from the daily operations of SMEs, such as inventory levels, sales transactions, and customer interactions.
- Edge Computing Data: Data processed at or close to where it is created to reduce costs, energy consumption, and address data privacy and security concerns. This encompasses all types of data mentioned above, processed locally rather than being sent to centralized data centers.

Q2: What is the data that needs to be serviced to the model creation process? Does the model need everything from Q1, or we can start from subset?

Moshe Shadmon please elaborate the question.

Victor Lu 

Option 1: Predictive Maintenance

Condition:

Option 2: Optimize production

Condition:

Q3: For the model execution, what data is needed?

Jeff Brower Haruhisa Fukano Feimin Yuan 

Q4Q3: Can the model be generated by FedML?

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