Challenge Overview
Presented by Alibaba Cloud
Developers, startups, and enterprises around the world are looking for scalable ways to harness
AI and cloud technologies to solve real-world challenges. From healthcare to finance, sustainability to smart cities, the need for secure, compliant, and high-performance AI
solutions has never been greater.
Alibaba Cloud provides a full-stack ecosystem for AI development (Model Studio, Qwen,WAN AI), big data analytics (MaxCompute, AnalyticDB), infrastructure (ECS, ACK, Function Compute), that participants can use to build intelligent, impactful, and production-ready systems.
Challenge Overview
Presented by Alibaba Cloud
Developers, startups, and enterprises around the world are looking for scalable ways to harness
AI and cloud technologies to solve real-world challenges. From healthcare to finance, sustainability to smart cities, the need for secure, compliant, and high-performance AI
solutions has never been greater.
Alibaba Cloud provides a full-stack ecosystem for AI development (Model Studio, Qwen,WAN AI), big data analytics (MaxCompute, AnalyticDB), infrastructure (ECS, ACK, Function Compute), that participants can use to build intelligent, impactful, and production-ready systems.
Challenge Scope
Design and prototype a working system using Alibaba Cloud technologies + AI that demonstrates:
1. End-to-end workflow (ingestion → AI processing → output) powered by Alibaba Cloud services.
2. Clear problem fit, solving a real-world issue with measurable benefit.
3. Scalability, compliance, and ethical AI practices (privacy, transparency, fairness).
Design and prototype a working system using Alibaba Cloud technologies + AI that demonstrates:
1. End-to-end workflow (ingestion → AI processing → output) powered by Alibaba Cloud services.
2. Clear problem fit, solving a real-world issue with measurable benefit.
3. Scalability, compliance, and ethical AI practices (privacy, transparency, fairness).
Problem Types to Explore
1. Automation: Reduce manual work, streamline decision-making.
2. Decision support & compliance: Ensure safety, ethics, and transparency in AI-driven systems.
3. Intelligent applications: Build industry-specific solutions (health, fintech, sustainability, logistics, education, etc.).
4. Operational insight: Dashboards, monitoring, and predictive analytics.
1. Automation: Reduce manual work, streamline decision-making.
2. Decision support & compliance: Ensure safety, ethics, and transparency in AI-driven systems.
3. Intelligent applications: Build industry-specific solutions (health, fintech, sustainability, logistics, education, etc.).
4. Operational insight: Dashboards, monitoring, and predictive analytics.
Core Components (examples, not prescriptions)
• Ingestion: Data capture (APIs, speech/text, logs, images, video).
• AI/ML models: Use Model Studio, Qwen, PAI for NLP, vision, or decision support.
• Knowledge grounding / RAG: Build retrieval-augmented applications with AnalyticDB, OpenSearch, Lingma.
• Automation workflows: Deploy using Function Compute, API Gateway, ACK.
• Data & storage: Use OSS, MaxCompute for secure, large-scale data handling.
• Ingestion: Data capture (APIs, speech/text, logs, images, video).
• AI/ML models: Use Model Studio, Qwen, PAI for NLP, vision, or decision support.
• Knowledge grounding / RAG: Build retrieval-augmented applications with AnalyticDB, OpenSearch, Lingma.
• Automation workflows: Deploy using Function Compute, API Gateway, ACK.
• Data & storage: Use OSS, MaxCompute for secure, large-scale data handling.
Solution Requirements
1. Working Prototype / Demo
A functional system, interface, or workflow that:
• Accepts input (text, image, voice, structured data).
• Runs AI model(s) and provides interpretable outputs.
• Uses at least two Alibaba Cloud products (e.g., Model Studio + AnalyticDB).
• Includes a simple UI of results.
2. Live Demo or Demo Video
3. Technical Brief
Explain what it does, how it works, and why it matters.
• Technical details: architecture diagram, APIs/models/tools used, data flows.
• Problem fit & value: how your solution reduces time/costs/errors; expected impact.
• Limitations & next steps: gaps, scaling plan, and ethical/safety considerations.
1. Working Prototype / Demo
A functional system, interface, or workflow that:
• Accepts input (text, image, voice, structured data).
• Runs AI model(s) and provides interpretable outputs.
• Uses at least two Alibaba Cloud products (e.g., Model Studio + AnalyticDB).
• Includes a simple UI of results.
2. Live Demo or Demo Video
3. Technical Brief
Explain what it does, how it works, and why it matters.
• Technical details: architecture diagram, APIs/models/tools used, data flows.
• Problem fit & value: how your solution reduces time/costs/errors; expected impact.
• Limitations & next steps: gaps, scaling plan, and ethical/safety considerations.
Data & Interfaces (mocked is fine)
• Synthetic or open datasets (text, healthcare, finance, sustainability, etc.).
• Public APIs for external signals (optional).
• Mocked FHIR/HL7, JSON, YAML, SQL stubs allowed.
• Synthetic or open datasets (text, healthcare, finance, sustainability, etc.).
• Public APIs for external signals (optional).
• Mocked FHIR/HL7, JSON, YAML, SQL stubs allowed.
AI/ML Options
• Model Studio / Qwen: LLM/NLP, reasoning, summarization.
• WAN AI: Creative generation (ads, images, video).
• Model Studio / Qwen: LLM/NLP, reasoning, summarization.
• WAN AI: Creative generation (ads, images, video).
Evaluation Criteria
1. Working system quality (correctness, stability, UX)
2. Impact & relevance of the problem solved
3. Use of Alibaba Cloud tech (breadth & depth)
4. AI performance (accuracy, explainability, fairness)
5. Architecture & scalability
6. Demo clarity & storytelling
1. Working system quality (correctness, stability, UX)
2. Impact & relevance of the problem solved
3. Use of Alibaba Cloud tech (breadth & depth)
4. AI performance (accuracy, explainability, fairness)
5. Architecture & scalability
6. Demo clarity & storytelling
Submission Checklist
• Demo link (or live slot)
• Repo link + quickstart
• ≤5-page Technical Brief (PDF)
• Architecture diagram
• Sample inputs/outputs + metrics
• Demo link (or live slot)
• Repo link + quickstart
• ≤5-page Technical Brief (PDF)
• Architecture diagram
• Sample inputs/outputs + metrics
Suggested Demo Flow
• Problem statement & user story
• Input → AI processing → Output (live or recorded demo)
• Show Alibaba Cloud services in action
• Dashboard/visualization of results
• Wrap with metrics, architecture, next steps
• Problem statement & user story
• Input → AI processing → Output (live or recorded demo)
• Show Alibaba Cloud services in action
• Dashboard/visualization of results
• Wrap with metrics, architecture, next steps
Prize
• $800 cash