2025-01-27
Empowering Supply Chains Through Collaboration and Innovation
“Together, we create scalable, sustainable solutions to wicked supply chain challenges.”
Mission and Vision
Who are we?
Note
“This is about more than tools—it’s about creating a system that fuels our ambitions and delivers the impact we’ve promised.”
Why it Works:
Problem: Students struggle to locate reliable data sources.
Solution 1: Provide pre-vetted sources like Google Scholar and curated datasets upfront. Quick-wins: 1. Create a list of all possible data sources for them to look at like, google scholar; 2. Create folder on the onedrive and dumb mass PDF’s and other data for them to play with, into that folder.
Solution 2 (Advanced): Use AI tools such as Crawl AI and SearxNG to automate data collection.
Limitations of OneDrive
Solution Notes
Why Canva Pro?:
- Magic Resize: Adapts designs for multiple platforms instantly.
- AI-Powered Tools: Features like Magic Write and Dream Lab generate text and visuals automatically.
- Professional Templates: Consistent branding with the Brand Kit feature.
- Background Remover: Refines images for polished, professional visuals.
- Shared Storage: Collaborate effectively with unlimited folders and up to 1TB of storage.
Problem: Limited automation and reliance on external AI.
Solution: Focus on making A.I Supportive but not leading
Current Challenges: Manual workflows, scattered communication, and inefficiencies hinder progress, A.i tooling is found to be unreliable!
Kotaemon: Interact with documents seamlessly using Retrieval-Augmented Generation (RAG) technology.
ChainForge: Evaluate and compare LLM responses for robust prompt engineering and model selection.
Neo4j: Map supply chain networks and visualize relationships.
OpenWebUI: Local interface for secure interaction with large language models (LLMs).
Flowise: Graphical AI workflow builder for creating intuitive AI applications.
Crawl A.I: Automates web scraping to collect large-scale research data.
| Tool | Purpose | Game-Changing Benefit |
|---|---|---|
| Kotaemon | Document interaction via RAG | Makes document exploration intuitive with LLM integrations. |
| ChainForge | Prompt engineering platform | Tests and compares prompts across multiple LLMs for robustness. |
| Neo4j | Graph-based visualization | Maps supply chain relationships for better scalability. |
| OpenWebUI | Local AI assistant | Reduces reliance on external LLMs while ensuring privacy. |
| BigAgi | Workflow automation | Automates repetitive processes and accelerates insights. |
| Ollama | Local inference engine | Lightweight AI experimentation with high security. |
| Flowise | AI workflow builder | Simplifies AI application creation with drag-and-drop nodes. |
| Crawl A.I | Web crawling | Collects and organizes large datasets for research purposes. |
| Tool | Purpose | How It Assists AI Tools |
|---|---|---|
| n8n | Workflow automation | Automates data flows into and out of AI tools. |
| Qdrant | Vector database | Supports embeddings and similarity search for AI pipelines. |
| Grafana | Real-time dashboards | Visualizes metrics from AI outputs in actionable formats. |
| SearxNG | Privacy-focused search engine | Enhances data collection for AI tools without compromising privacy. |
| Focus | Details |
|---|---|
| Tools | OpenWebUI, ChainForge |
| Objective | Learn to design effective AI prompts. |
| Format | Hands-on practice with guided examples. |
| Outcome | Craft precise prompts to unlock AI insights. |
| Focus | Details |
|---|---|
| Tools | OpenWebUI |
| Objective | Explore local AI for secure brainstorming. |
| Format | Interactive session with real-world use cases. |
| Outcome | Understand how to integrate OpenWebUI into workflows. |
Using How to speak so that others will listen
| Focus | Details |
|---|---|
| Tools | Canva Pro |
| Objective | Create visually compelling, stakeholder-ready presentations. |
| Format | Guided session with hands-on exercises. |
| Outcome | Produce professional presentations that enhance engagement. |
Execution Plan: Host brainstorming sessions to outline the challenges and goals. This is done trough a mind map; Allthough there are MANY tools like, Draw.Io, Excilgraph, and many others, CANVA actually has one build in too, and since we can use canva, we should use that one since it will enable teams to work faster and not have to learn new tools. We can use the ideation Bot in OpenWebUI to help make problem statements better and faster.
Tools: - Canva: Collaborative whiteboarding for capturing team input visually. - OpenWebUI: Use AI to generate and refine problem statements.
OpenWebUI Models
There has been significant progress made on both the usage of this tool and the models that reside in this tool! The first time that you’ve used this the result was underwhelming, you should give it another go! Its much improved.
Identify key stakeholders and their influence on the problem. Visualize relationships, dependencies, and power structures. CANVA: Use the Stakeholder mapping template
Other Tools: - Neo4j: Create graph-based maps for detailed stakeholder relationships. - PowerPoint: Build simpler static stakeholder diagrams. - Excalidraw: Quick and interactive stakeholder sketching. - Obsidian: Map relationships between Stakeholders in a Markdown format
Determine Target Product or company
Conduct Stakeholder Interviews and Surveys.
Analyze Data for Trends and Pain Points.
Reflect and Align Insights.
Execution Plan: - Identify relevant data sources (financial, operational, and regulatory). - Set up tools for collecting and organizing data.
Tools: - Crawl AI: Automates large-scale web scraping to gather relevant research data. - Google Scholar: Access academic papers and reports. - Excel + OneDrive: Organize raw data for initial exploration.
Execution Plan: - Design and distribute surveys to gather qualitative data. - Conduct structured interviews to collect stakeholder insights.
Tools: - Kotaemon: Analyzes stakeholder feedback for key themes and anomalies. - Google Forms: Simple survey creation and distribution. - OpenWebUI: Use conversational AI for brainstorming interview questions.
Execution Plan: - Examine data for recurring patterns and key insights. - Use visualization tools to make results accessible.
Tools: - JupyterHub: Collaborative environment for in-depth data analysis. - Neo4j: Visualize complex relationships in supply chain data. - Canva Pro: Create visually engaging presentations of trends and insights.
Execution Plan: - Host team discussions to review findings and align on key insights. - Prepare summaries for stakeholder feedback.
Tools: - Mattermost: Facilitate real-time discussions and collaboration. - Quarto: Create detailed, reproducible reports summarizing findings. - Canva Pro: Design polished summaries for stakeholder presentations.
Execution Plan: - Host interactive workshops to generate ideas collaboratively. - Encourage “out-of-the-box” thinking and solution exploration.
Tools: - Mural + Excalidraw: Collaborative whiteboarding for capturing ideas visually. - Mattermost: Real-time communication to align teams during brainstorming. - OpenWebUI: Use conversational AI to spark ideas and simulate perspectives.
Execution Plan: - Categorize solutions based on stakeholder needs and objectives. - Develop visual frameworks to organize and communicate ideas.
Tools: - Canva Pro: Design visually compelling solution boards. - Neo4j: Map relationships and dependencies between solutions. - Draw.io: Create process diagrams and solution workflows.
Execution Plan: - Test solutions against different scenarios using AI tools. - Refine solutions based on AI-driven feedback and insights.
Tools: - ChainForge: Validate prompts and solution viability across AI models. - BigAgi: Automate scenario simulations and generate actionable insights. - OpenWebUI: Refine brainstorming outputs with conversational AI feedback.
Execution Plan: - Score solutions on feasibility, stakeholder alignment, and potential impact. - Host prioritization workshops to align on the final list of solutions.
Tools: - FocalBoard: Organize and prioritize tasks with Kanban boards. - Excel + OneDrive: Create scoring matrices for decision-making. - Canva Pro: Present prioritized solutions visually for stakeholder review.
Execution Plan: - Create simplified prototypes that showcase essential features of proposed solutions. - Use visuals and data to communicate impact.
Tools: - Canva Pro: Design polished, visually compelling MVP presentations. - JupyterHub: Generate data-driven insights and mock dashboards. - Neo4j: Visualize complex stakeholder relationships or process flows.
Execution Plan: - Schedule and facilitate structured sessions for presenting MVPs. - Use interactive platforms to keep stakeholders engaged and capture live feedback.
Tools: - Work Adventure: Create immersive, virtual environments for discussions. - Mattermost: Coordinate session logistics and enable follow-ups. - Canva Pro: Deliver dynamic, professional presentations.
Execution Plan: - Collect qualitative and quantitative feedback through surveys, Q&A, and AI-supported analysis. - Identify recurring themes and actionable insights.
Tools: - Kotaemon: Analyze feedback to detect anomalies and trends. - Google Forms: Gather structured feedback quickly and efficiently. - OpenWebUI: Summarize input and explore follow-up ideas with conversational AI.
Execution Plan: - Revisit MVPs based on stakeholder input. - Use task management tools to track refinements and ensure alignment with feedback.
Tools: - ChainForge: Refine AI-driven aspects of the solution (e.g., prompts or models). - FocalBoard: Track revisions and prioritize tasks for refinement. - Quarto: Create reproducible reports detailing updates and iterations.
Execution Plan: - Define milestones, resources, and timelines for proposed solutions. - Use collaborative tools to align teams on implementation details.
Tools: - FocalBoard: Track milestones and task dependencies collaboratively. - JupyterHub: Analyze data to support planning and decision-making. - Quarto: Document detailed implementation plans in structured reports.
Execution Plan: - Synthesize data and insights into a clear, cohesive proposal. - Highlight key findings and actionable recommendations.
Tools: - Quarto: Develop reproducible, data-driven proposals. - Google Docs: Enable real-time collaboration and review. - Canva Pro: Add polished visuals and professional design elements.
Execution Plan: - Design dynamic, stakeholder-friendly presentations. - Incorporate storytelling techniques to make data engaging.
Tools: - Canva Pro: Create visually engaging slides for storytelling. - Grafana: Embed live dashboards for real-time KPI visualization. - PowerPoint: Use familiar presentation tools for static elements.
Execution Plan: - Host review sessions to incorporate feedback into proposals. - Use version control tools to track changes and ensure alignment.
Tools: - Mattermost: Facilitate discussions and collect feedback. - GitHub: Manage version control for proposal documents. - Quarto: Publish final, polished versions of proposals.
Execution Plan: - Host events to showcase project progress and engage stakeholders. - Use both in-person and virtual formats to maximize reach.
Tools: - Work Adventure: Create interactive, virtual event spaces. - Mattermost: Coordinate event details and communication. - Canva Pro: Design event flyers, invitations, and visual materials.
Execution Plan: - Create content that highlights the project’s social and environmental impact. - Distribute materials through various channels to reach stakeholders.
Tools: - Canva Pro: Design visually compelling infographics and brochures. - Nextcloud: Securely share materials with stakeholders. - Quarto: Develop structured reports and detailed whitepapers.
Execution Plan: - Engage with industry leaders, educators, and community members. - Present clear value propositions to encourage ongoing involvement.
Tools: - Neo4j: Map relationships and identify potential partnership opportunities. - JupyterHub: Analyze data to support partnership discussions. - Google Forms: Collect feedback and gauge interest in collaboration.
Execution Plan: - Create feedback loops to understand community and stakeholder needs. - Use insights to adjust strategies and strengthen engagement.
Tools: - Kotaemon: Analyze qualitative feedback for key insights. - OpenWebUI: Use conversational AI for brainstorming actionable improvements. - FocalBoard: Track feedback integration and adjustments.
Execution Plan: - Identify potential collaborators, funding sources, and resources required for scaling. - Establish partnerships with industry leaders and community stakeholders.
Tools: - Neo4j: Map partnerships and resource dependencies. - Mattermost: Coordinate outreach and collaboration efforts. - JupyterHub: Analyze data to support partnership discussions.
Execution Plan: - Outline steps to address logistical, operational, and regulatory challenges. - Use data-driven insights to inform scaling strategies.
Tools: - Quarto: Create detailed, reproducible reports on scaling strategies. - FocalBoard: Plan and manage tasks for roadmap execution. - Grafana: Monitor metrics during scaling and identify areas for adjustment.
Execution Plan: - Consolidate insights from pilot phases into a structured framework. - Develop reusable templates for replicating solutions in new contexts.
Tools: - Quarto: Document frameworks and lessons learned for future reference. - Nextcloud: Share templates and documentation securely. - Canva Pro: Create visually engaging frameworks for training and onboarding.
Execution Plan: - Build trust with stakeholders by demonstrating success stories and data-driven results. - Host events or meetings to secure commitments for long-term involvement.
Tools: - Work Adventure: Host immersive, interactive stakeholder meetings. - Kotaemon: Analyze stakeholder feedback for alignment. - Canva Pro: Create impactful presentations that communicate scaling success.
| Tool Name | Description | GitHub Link |
|---|---|---|
| Hugging Face | Natural language processing and AI model hub. | Hugging Face GitHub |
| LangChain | Framework for building applications with language models. | LangChain GitHub |
| Stable Diffusion | AI-powered image generation. | Stable Diffusion GitHub |
| Whisper | Automatic speech recognition system by OpenAI. | Whisper GitHub |
| Haystack | NLP framework for building search systems. | Haystack GitHub |
| FastAPI | Web framework for building APIs with Python. | FastAPI GitHub |
| Pandas AI | Enhances Pandas with AI capabilities. | Pandas AI GitHub |
| LlamaIndex | Tool for integrating knowledge bases with language models. | LlamaIndex GitHub |
| DeepSpeed | Optimize and train deep learning models at scale. | DeepSpeed GitHub |
| AutoGPT | Autonomous AI agent powered by GPT models. | AutoGPT GitHub |
| Prompt Toolkit | Library for building interactive command-line applications. | Prompt Toolkit GitHub |
| Diffusers | Library for training and using diffusion models. | Diffusers GitHub |
| BERT | Transformer-based language model. | BERT GitHub |
| Transformers | Library for working with pre-trained transformer models. | Transformers GitHub |
| Cortex | Platform for deploying machine learning models. | Cortex GitHub |
| Dash | Framework for building web-based analytical applications. | Dash GitHub |
| Streamlit | Create custom machine learning apps quickly. | Streamlit GitHub |
| Ray | Framework for scaling AI and machine learning workflows. | Ray GitHub |
| Metaflow | Machine learning workflow management tool. | Metaflow GitHub |
| PyCaret | Low-code machine learning library. | PyCaret GitHub |
Value Chain Hackers Lab © 2025