人工智能+工具方案目錄

There are vast and complex datasets across departments such as health, education, transport, and finance. The full potential of this data remains untapped due to fragmentation, inconsistent formats, and the lack of scalable analytical infrastructure. To address these challenges, we propose a unified AI-powered data intelligence platform built on Microsoft Fabric and AI Foundry.

This solution enables government agencies to automatically crawl, consolidate, and analyze data from diverse sources, uncover hidden patterns, and generate predictive insights that support strategic planning and operational excellence.

Microsoft Fabric provides a unified data foundation that integrates data engineering, data science, real-time analytics, and business intelligence into a single platform. AI Foundry complements this by offering a comprehensive environment to rapidly build, deploy, and scale AI models tailored to specific use cases. Together, they empower departments to make faster, more informed decisions based on real-time, multidimensional data analysis.

1) Data Crawling and Aggregation with Microsoft Fabric Using Microsoft Fabric’s Data Factory and OneLake, the system continuously crawls and ingests structured and unstructured data from these sources. It applies AI-powered data classification and metadata tagging to organize the information into a centralized, searchable lakehouse. This enables real-time surveillance of disease outbreaks, vaccination trends, and public sentiment, allowing health officials to respond proactively.

2) Multidimensional Big Data Analysis with Fabric Microsoft Fabric stores this data in Delta format, enabling high-performance querying across dimensions such as time, location, and vehicle type. Synapse Real-Time Analytics then processes this data to identify congestion patterns, correlate them with weather and construction schedules, and simulate the impact of policy changes. This supports dynamic traffic management and long-term infrastructure planning.

3) Predictive Modeling with AI Foundry AI Foundry allows data scientists and analysts to build and deploy predictive models using historical data, these models simulate various policy scenarios and predict the future impact on difference aspects. The models are version-controlled and continuously retrained with new data, ensuring accuracy and adaptability.

4) Anomaly Detection and Risk Scoring These models analyze historical patterns to flag suspicious behavior, such as sudden income spikes or inconsistent deductions. Fabric’s integration with Power BI enables auditors to visualize risk scores and drill down into flagged cases, streamlining investigations and improving compliance.

5) Executive Dashboards and Natural Language Insights Decision-makers access a centralized Power BI dashboard powered by Microsoft Fabric and Copilot. This dashboard aggregates KPIs from across departments and provides natural language querying capabilities. Executives can ask questions like “What are the top three emerging risks in housing and transport?” and receive AI-generated summaries with supporting data visualizations. This enhances situational awareness and enables rapid, evidence-based decision-making.