Great news! This IOT Data Hackathon 2026 Online Learning Workshop is now open to everybody.
Register to get access to this online learning video for free!
Unlock the full potential of Artificial Intelligence in your business solutions. This online learning workshop moves beyond basic AI concepts to explore the powerful synergy between Intelligent Automation (RPA), Agentic AI, and AIoT (AI of Things). Learn about building robust systems where AI agents handle complex decision-making while automation tools execute routine tasks, all supported by real-time IoT data. Whether you are optimizing supply chains, enhancing customer experiences, or tackling sustainability challenges, discover how to integrate these technologies to create scalable, impactful, and award-winning innovations.
Training Highlights
- The Triple-A Framework: Understand how RPA, AI Agents, and AIoT work together rather than replacing one another.
- Automation vs. Intelligence: Distinguish when to use fixed-rule RPA for efficiency versus autonomous AI agents for dynamic decision-making.
- Human-in-the-Loop Design: Learn to design workflows where AI handles scale and humans manage exceptions, empathy, and high-stakes decisions.
- AIoT Integration: Leverage edge computing to process IoT data locally for real-time predictions, predictive maintenance, and safety alerts.
- Retail Case Study: Analyze a real-world scenario where AI agents drive marketing and sales while RPA manages backend operations.
- Sustainability Alignment: Map your AIoT solutions to UN Sustainable Development Goals (SDGs) like Smart Cities and Infrastructure.
What You'll Learn:
- From RPA to Intelligent Automation: How to upgrade traditional Robotic Process Automation with AI (e.g., Copilot) to create flexible, natural-language-driven workflows.
- Building Agentic AI: Strategies for deploying AI agents that reason, learn, and adapt to dynamic environments, including governance and risk controls.
- The AIoT Advantage: How to combine sensors (the "eyes") with AI (the "brain") for predictive analytics, anomaly detection, and automated actions at the edge.
- Strategic Workflow Design: A step-by-step guide to assigning tasks to AI agents, RPA bots, and human staff for maximum efficiency and customer satisfaction.
- Real-World Applications: Insights from successful deployments in smart cities (traffic, crowd control), logistics, and retail, including a case study on monkey feeding prevention in Hong Kong.