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Starts 3 July 2025 10:45

Ends 3 July 2025

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Business Intelligence with AI-Enhanced Data Quality

Join an insightful course on elevating data quality through artificial intelligence for robust business intelligence applications. This YouTube course covers diverse industries, such as financial services and manufacturing, offering actionable insights and methods to integrate AI into your data processes. Enhance your data strategies with pra.
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Conf42

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Overview

Join an insightful course on elevating data quality through artificial intelligence for robust business intelligence applications. This YouTube course covers diverse industries, such as financial services and manufacturing, offering actionable insights and methods to integrate AI into your data processes.

Enhance your data strategies with practical lessons aimed at optimizing implementation and driving improvement in performance. Ideal for professionals seeking to leverage AI for better decision-making and business outcomes.

Syllabus

  • Introduction to Business Intelligence and AI
  • Overview of Business Intelligence
    Role of AI in Enhancing Data Quality
    Key Benefits Across Industries
  • Data Quality Fundamentals
  • Importance of Data Quality in Business Intelligence
    Common Data Quality Issues
    Metrics for Measuring Data Quality
  • AI Technologies for Data Quality Enhancement
  • Machine Learning for Data Cleaning and Deduplication
    Natural Language Processing for Unstructured Data
    AI-Driven Data Profiling and Reconciliation
  • Industry Applications of AI-Enhanced Data Quality
  • Financial Services: Reducing Errors in Financial Reporting
    Healthcare: Improving Patient Data Accuracy
    Manufacturing: Enhancing Supply Chain Data Integrity
  • Implementation Strategies
  • Assessing Current Data Quality State
    Choosing the Right AI Tools and Technologies
    Integrating AI Solutions with Existing BI Systems
  • Performance Improvement and Monitoring
  • Establishing Baselines and Setting KPIs
    Continuous AI Model Training and Adjustment
    Monitoring and Auditing Data Quality in Real Time
  • Case Studies and Real-World Examples
  • Successful Implementations in Various Industries
    Lessons Learned and Best Practices
  • Ethical and Legal Considerations
  • Data Privacy and Security in AI Solutions
    Compliance with Regulations and Standards
  • Future Trends and Innovations
  • Emerging AI Technologies in Data Quality
    Predictive Data Quality Management
  • Final Project and Assessment
  • Practical Implementation Strategies
    Performance Analysis and Improvement Plan

Subjects

Business