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מתחיל 5 June 2026 09:34

נגמר 5 June 2026

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Building NBA's AI-Powered Stats Infrastructure with Azure - BRK212

Discover how Azure powers NBA's real-time data infrastructure, enabling AI-driven statistical insights and complex data processing to serve diverse stakeholders across the global basketball ecosystem.
Microsoft via YouTube

Microsoft

6076 קורסים


48 minutes

שדרוג אופציונלי זמין

Not Specified

התקדמות בקצב שלך

Free Video

שדרוג אופציונלי זמין

סקירה כללית

Discover how Azure powers NBA's real-time data infrastructure, enabling AI-driven statistical insights and complex data processing to serve diverse stakeholders across the global basketball ecosystem.

סילבוס

  • Introduction to Azure and Its Role in Sports Analytics
  • Overview of Azure services
    Importance of AI in modern sports analytics
    Case study: Azure's impact on the NBA
  • Understanding NBA's Data Ecosystem
  • Types of data collected during NBA games
    Stakeholders and their data needs
    Challenges in managing real-time sports data
  • Building Real-Time Data Infrastructure
  • Introduction to Azure Data Lake and Azure Blob Storage
    Setting up data pipelines with Azure Data Factory
    Ensuring data quality and consistency
  • Leveraging AI for Statistical Insights
  • Overview of Azure Machine Learning Studio
    Developing and deploying predictive models
    Case study: Predictive analytics in player performance
  • Complex Data Processing with Azure
  • Stream processing with Azure Stream Analytics
    Integrating Azure Functions for event-driven processing
    Managing large datasets with Azure Synapse Analytics
  • Enhancing AI Models with Azure Cognitive Services
  • Sentiment analysis on fan engagement data
    Image recognition for player and game analytics
    Speech analytics for real-time commentary insights
  • Scaling AI Systems for Global Reach
  • Best practices for scaling AI applications on Azure
    Infrastructure monitoring with Azure Monitor
    Ensuring security and compliance with Azure Security Center
  • Conclusion and Future Trends
  • Potential advancements in AI and sports analytics
    Emerging technologies in the basketball ecosystem
    Final thoughts on building robust AI-powered infrastructures
  • Hands-On Workshops and Case Studies
  • Guided projects with Azure AI tools
    Real-world case studies on NBA data applications
    Collaborative group projects and presentations

נושאים

Programming