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1. Manufacturing Company
The system architecture for manufacturing company:
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.
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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.
2. Low-latency AI inference on Edge Cloud
EmpoweredgeAI–ChallengesattheEdge
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FedML is an open-source library that facilitates the implementation of federated learning, making it possible to train AI models on edge devices while keeping data decentralized and secure. Given InfiniEdge AI's focus on distributed edge clouds, utilizing FedML would be compatible and beneficial.
Minimum Viable Products
Minimum Viable Product (MVP) For InfiniEdge AI
Wilson Wang and C.C. Fan will draft the MVP.Wilson Wang
Moshe Shadmon Victor Lu Caleb will gather together to go through the though process for manufacturing selected use case and what data the model needs.
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