Intelligent_DSS_with_IoT_Applications_Transforming_Decision_Making (1).pptx
- 1. Intelligent DSS with IoT Applications: Transforming Decision-Making Explore how IoT data enhances Decision Support Systems. Discover real- world use cases and future directions. Learn how data-driven insights give strategic advantages.
- 2. What Is Intelligent DSS and IoT? Intelligent DSS • Enhanced with AI and machine learning • Improves decision accuracy and speed • Combines analysis, modeling, simulation IoT • Interconnected devices network • Real-time data collection and exchange • Enables remote monitoring and control Synergy IoT supplies data; Intelligent DSS delivers insights for decision- making.
- 3. Key Components and Architecture IoT Devices • Sensors, actuators, smart devices • Measure temperature, pressure, location • Examples: wearables, smart meters Data Acquisition & Storage • Protocols: MQTT, CoAP, HTTP • Edge computing for preprocessing • Cloud and NoSQL databases for storage
- 4. Integrating IoT Data into DSS 1 Data Preprocessing Clean, transform, and integrate data using advanced tools. 2 Data Analysis Apply machine learning models for classification and trend detection. 3 Modeling & Simulation Create predictive models to simulate future scenarios accurately.
- 8. Enhancing DSS with AI & Machine Learning Predictive Analytics Forecast failures, e.g., equipment breakdowns with sensor data. Prescriptive Analytics Recommend optimal actions, like energy optimization in buildings. Real-time Decisions Automate responses, such as traffic signal adjustments dynamically.
- 9. When: Real-time vs Batch Processing Real-time Processing Immediate insights for emergencies and anomaly detection. Batch Processing Handles large datasets for trend analysis and planning. Hybrid Approach Combines both methods for comprehensive decision support.
- 10. Industry Applications - Smart Manufacturing Predictive Maintenance GE Aviation cuts maintenance costs by 20%, prevents breakdowns. Process Optimization Siemens boosts throughput by 15%, reduces defects by 10%.
- 11. Industry Applications - Smart Cities Traffic Management Barcelona cuts commute times by 20%, lowers emissions by 15%. Energy Management Copenhagen reduces energy use by 10%, increases renewables by 20%.
- 12. Challenges and Future Trends Security and Privacy Encryption, access control, and regulations protect data. Scalability & Interoperability Standard protocols and microservices handle diverse IoT systems. Future Outlook Edge AI, 5G, and digital twins will shape next-gen solutions.
- 13. The Future of Intelligent Decision-Making Transforming Industries IoT-driven DSS is reshaping how decisions are made. Strategic Advantage Leverage data insights to outpace competitors. Next Steps Start pilots, evaluate tech, and form strategic partnerships.